# Control Plane — full site content Every marketing page and customer case study on https://controlplane.com, as Markdown. Not included here: - Blog posts. Full article bodies are on the feeds: https://controlplane.com/blog/feed.xml and https://controlplane.com/feed.json - Technical documentation. Indexed separately at https://docs.controlplane.com/llms.txt Any single page is also available on its own — append `.md` to its URL. --- # Control Plane — When downtime is not an option Source: https://controlplane.com/ The Cloud Virtualization Platform # When downtime is not an option. Combine any cloud, neocloud, and bare metal into a virtual cloud with 99.999% uptime. [Get started](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) Trusted by innovative teams ![Popmenu](https://controlplane.com/images/customers/popmenu-logo.svg) ![Qualifi](https://controlplane.com/images/customers/qualifi.svg) ![Outrider](https://controlplane.com/images/customers/outrider.svg) ![BÆRSKIN](https://controlplane.com/images/customers/baerskin-strip.svg) ![Nevvon](https://controlplane.com/images/customers/nevvon-logo.svg) ![Allio](https://controlplane.com/images/customers/allio.svg) ![Subject](https://controlplane.com/images/customers/subjectLogo.svg) ![Linker Finance](https://controlplane.com/images/customers/linker-finance.svg) ![Fastback](https://controlplane.com/images/customers/fastback.webp) ![Popmenu](https://controlplane.com/images/customers/popmenu-logo.svg) ![Qualifi](https://controlplane.com/images/customers/qualifi.svg) ![Outrider](https://controlplane.com/images/customers/outrider.svg) ![BÆRSKIN](https://controlplane.com/images/customers/baerskin-strip.svg) ![Nevvon](https://controlplane.com/images/customers/nevvon-logo.svg) ![Allio](https://controlplane.com/images/customers/allio.svg) ![Subject](https://controlplane.com/images/customers/subjectLogo.svg) ![Linker Finance](https://controlplane.com/images/customers/linker-finance.svg) ![Fastback](https://controlplane.com/images/customers/fastback.webp) ![Popmenu](https://controlplane.com/images/customers/popmenu-logo.svg) ![Qualifi](https://controlplane.com/images/customers/qualifi.svg) ![Outrider](https://controlplane.com/images/customers/outrider.svg) ![BÆRSKIN](https://controlplane.com/images/customers/baerskin-strip.svg) ![Nevvon](https://controlplane.com/images/customers/nevvon-logo.svg) ![Allio](https://controlplane.com/images/customers/allio.svg) ![Subject](https://controlplane.com/images/customers/subjectLogo.svg) ![Linker Finance](https://controlplane.com/images/customers/linker-finance.svg) ![Fastback](https://controlplane.com/images/customers/fastback.webp) > For every minute that our sales tax API, if it were to go down, our customers are not able to collect roughly $4,000,000 in sales tax that they should be collecting. ![Pujun Bhatnagar](https://controlplane.com/images/customers/pujun-bhatnagar.jpeg) Pujun Bhatnagar Co-Founder and CEO, Kintsugi ![Kintsugi logo](https://controlplane.com/images/customers/kintsugi-logo.png)[Read the case study](https://controlplane.com/customers/kintsugi) ## Compute anywhere Compose any combination of compute substrates (bare metal, k8s, any region of AWS, GCP, Azure, and OCI) into a virtual cloud shaped to your workloads. Single cloud Multi-cloud Hybrid cloud On-prem Virtual Cloud ### Virtualize any cloud Choose multiple regions from one managed cloud provider and compose them into a single GVC with unified deployment, routing, scaling, and operations. [Partner ecosystem](https://controlplane.com/partners) [![Akamai logo](https://controlplane.com/images/partners/akamai.svg)](https://controlplane.com/partners)[![HashiCorp logo](https://controlplane.com/images/partners/hashicorp-logo.svg)](https://controlplane.com/partners)[![Coralogix logo](https://controlplane.com/images/partners/coralogix.png)](https://controlplane.com/partners)[![Synadia logo](https://controlplane.com/images/partners/synadia-logo.png)](https://controlplane.com/partners)[![Secureframe logo](https://controlplane.com/images/partners/secureframe.svg)](https://controlplane.com/partners)[![Datadog logo](https://controlplane.com/images/partners/datadog-logo.svg)](https://controlplane.com/partners)[![Logz.io logo](https://controlplane.com/images/partners/logzio.svg)](https://controlplane.com/partners) ## Running any container Every workload type, deployed to every region of your virtual cloud in minutes. Containers Standard, Stateful, Cron, and Serverless workload types covering most application patterns, orchestrated into replicas across every region of your virtual cloud. [Read the docs →](https://docs.controlplane.com/reference/workload/general) Virtual machines Sandboxes ## Using any of 600+ cloud services Grant workloads secure access to any service in any cloud (AWS, GCP, Azure, OCI) with no credentials stored anywhere. ### Universal Cloud Identity™ Patented Use any service on any cloud (BigQuery on GCP, SQS and DynamoDB on AWS, Active Directory on Azure) in the same deployment, with no embedded credentials. Control Plane's patented Universal Cloud Identity handles authentication and authorization across clouds automatically. [Read the docs](https://docs.controlplane.com/) toolbox-identityUniversal Cloud Identity Cloud AccessAdd cloud account AWSAccount connected Permissions granted (3) S3 ReadDynamoDB QuerySQS Send AzureAccount connected Permissions granted (2) Microsoft Entra ID ReadAzure OpenAI Access GCPAccount connected Permissions granted (3) BigQuery QueryCloud Storage ReadPub/Sub Publish ### Native services at a fraction of the cost Or deploy from Control Plane's native services library, provisioned in seconds and running on your virtual cloud at a fraction of the public cloud cost. [View all →](https://docs.controlplane.com/template-catalog/overview#template-catalog) [PostGIS](https://docs.controlplane.com/template-catalog/templates/postgis)[FusionAuth](https://docs.controlplane.com/template-catalog/templates/fusionauth)[MongoDB](https://docs.controlplane.com/template-catalog/templates/mongodb)[ClickHouse](https://docs.controlplane.com/template-catalog/templates/clickhouse)[Airflow](https://docs.controlplane.com/template-catalog/templates/airflow)[etcd](https://docs.controlplane.com/template-catalog/templates/etcd)[Nginx](https://docs.controlplane.com/template-catalog/templates/nginx)[Tailscale](https://docs.controlplane.com/template-catalog/templates/tailscale)[DBeaver](https://docs.controlplane.com/template-catalog/templates/dbeaver)[Secret Env Var Syncer](https://docs.controlplane.com/template-catalog/templates/sevs)[PostGIS](https://docs.controlplane.com/template-catalog/templates/postgis)[FusionAuth](https://docs.controlplane.com/template-catalog/templates/fusionauth)[MongoDB](https://docs.controlplane.com/template-catalog/templates/mongodb)[ClickHouse](https://docs.controlplane.com/template-catalog/templates/clickhouse)[Airflow](https://docs.controlplane.com/template-catalog/templates/airflow)[etcd](https://docs.controlplane.com/template-catalog/templates/etcd)[Nginx](https://docs.controlplane.com/template-catalog/templates/nginx)[Tailscale](https://docs.controlplane.com/template-catalog/templates/tailscale)[DBeaver](https://docs.controlplane.com/template-catalog/templates/dbeaver)[Secret Env Var Syncer](https://docs.controlplane.com/template-catalog/templates/sevs) [PostgreSQL](https://docs.controlplane.com/template-catalog/templates/postgres)[MySQL](https://docs.controlplane.com/template-catalog/templates/mysql)[CockroachDB](https://docs.controlplane.com/template-catalog/templates/cockroachdb)[Kafka](https://docs.controlplane.com/template-catalog/templates/kafka)[Redis](https://docs.controlplane.com/template-catalog/templates/redis)[OpenSearch](https://docs.controlplane.com/template-catalog/templates/opensearch)[Tyk](https://docs.controlplane.com/template-catalog/templates/tyk)[MinIO](https://docs.controlplane.com/template-catalog/templates/minio)[CPLN Task Runner](https://docs.controlplane.com/template-catalog/templates/cpln-task-runner)[PostgreSQL](https://docs.controlplane.com/template-catalog/templates/postgres)[MySQL](https://docs.controlplane.com/template-catalog/templates/mysql)[CockroachDB](https://docs.controlplane.com/template-catalog/templates/cockroachdb)[Kafka](https://docs.controlplane.com/template-catalog/templates/kafka)[Redis](https://docs.controlplane.com/template-catalog/templates/redis)[OpenSearch](https://docs.controlplane.com/template-catalog/templates/opensearch)[Tyk](https://docs.controlplane.com/template-catalog/templates/tyk)[MinIO](https://docs.controlplane.com/template-catalog/templates/minio)[CPLN Task Runner](https://docs.controlplane.com/template-catalog/templates/cpln-task-runner) [pgEdge](https://docs.controlplane.com/template-catalog/templates/pgedge)[MariaDB](https://docs.controlplane.com/template-catalog/templates/mariadb)[NATS](https://docs.controlplane.com/template-catalog/templates/nats)[RabbitMQ](https://docs.controlplane.com/template-catalog/templates/rabbitmq)[TiDB](https://docs.controlplane.com/template-catalog/templates/tidb)[Manticore Search](https://docs.controlplane.com/template-catalog/templates/manticore)[Coraza WAF](https://docs.controlplane.com/template-catalog/templates/coraza)[Ollama](https://docs.controlplane.com/template-catalog/templates/ollama)[External Secret Syncer](https://docs.controlplane.com/template-catalog/templates/external-secret-syncer)[pgEdge](https://docs.controlplane.com/template-catalog/templates/pgedge)[MariaDB](https://docs.controlplane.com/template-catalog/templates/mariadb)[NATS](https://docs.controlplane.com/template-catalog/templates/nats)[RabbitMQ](https://docs.controlplane.com/template-catalog/templates/rabbitmq)[TiDB](https://docs.controlplane.com/template-catalog/templates/tidb)[Manticore Search](https://docs.controlplane.com/template-catalog/templates/manticore)[Coraza WAF](https://docs.controlplane.com/template-catalog/templates/coraza)[Ollama](https://docs.controlplane.com/template-catalog/templates/ollama)[External Secret Syncer](https://docs.controlplane.com/template-catalog/templates/external-secret-syncer) ## On a unified network One network across every region, substrate, and edge of your virtual cloud. Every workload is connected, encrypted, governed, and able to reach into the private services it depends on. - ### Service Mesh Every workload connected through a built-in service mesh, with per-workload client certs rotated hourly. Traffic geo-routed to the nearest healthy endpoint with priority-based failover. [Read the docs](https://docs.controlplane.com/guides/native-networking/native-networking-setup) - ### Firewalls Every workload gets its own firewall, denying all ingress and egress by default. Allow specific CIDRs, hostnames, or HTTP headers. Filter by geography. Control east-west traffic between workloads in the same GVC or across orgs. [Read the docs](https://docs.controlplane.com/reference/workload/firewall) - ### Cloud Wormhole® Reach into private VPCs, on-prem networks, edge sites, or a developer's laptop through scoped, outbound-only tunnels. Per-resource access control, TCP and UDP, no VPN appliances, no peering, no IP allowlisting. [Read the docs](https://docs.controlplane.com/reference/identity#private-network-access-cloud-wormhole) ## Giving you more cloud with less bill. Control Plane automatically right-sizes your virtual cloud's resources to the exact shape your workloads need, so your app runs on every region you choose, using any service, at a fraction of the cost of running directly on the hyperscalers. Most customers cut their cloud bill by 30–50%. ### Peak-safe provisioning vs adaptive provisioning Provisioned capacity vs. actual load, over 24 hours (normalized vCPU) Overprovisioned Capacity Wasted spend. Paying for capacity you don’t use. Adaptive Capacity Lower spend. Provisioning stays close to actual demand. Actual usage![AWS](https://controlplane.com/images/providers/aws-orange.svg)AWS peak-safe capacity![Control Plane](https://controlplane.com/images/logos/logo-icon.svg)Control Plane adaptive capacityCost savings 30–50% lower compute costs Actual usageAWS peak-safeControl PlaneCost savings 30–50% lower compute costs Customer StoryMinga [Read the full Minga story](https://controlplane.com/customers/minga) ## Superpowering AI-native teams Infrastructure should fuel your ambitions, not stifle them. ![Kintsugi logo](https://controlplane.com/images/customers/kintsugi-logo.png) ![Outrider logo](https://controlplane.com/images/customers/outrider.svg) ![Minga logo](https://controlplane.com/images/customers/minga-logo.png) ![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) ![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) ![DIV Brands logo](https://controlplane.com/images/customers/baerskin-logo.svg) ![Jora AI logo](https://controlplane.com/images/customers/jora.svg) ![Meso AI logo](https://controlplane.com/images/customers/meso-ai.svg) ![Verdova logo](https://controlplane.com/images/customers/verdovaLogo.png) ![Qualifi logo](https://controlplane.com/images/customers/qualifi.svg) ![Linker Finance logo](https://controlplane.com/images/customers/linker-finance.svg) > For every minute that our sales tax API, if it were to go down, our customers are not able to collect roughly $4,000,000 in sales tax that they should be collecting. ![Pujun Bhatnagar](https://controlplane.com/images/customers/pujun-bhatnagar.jpeg) Pujun Bhatnagar Co-Founder and CEO, Kintsugi [Read the case study](https://controlplane.com/customers/kintsugi) ![Kintsugi logo](https://controlplane.com/images/customers/kintsugi-logo.png) > Thanks to Control Plane, we've mastered multi-cloud management, fine-tuned Kubernetes efficiency, and saved substantially on costs. ![Jay Eberhard](https://controlplane.com/images/customers/jay-eberhard.png) Jay Eberhard Senior Platform Engineer, Outrider [Read the case study](https://controlplane.com/customers/outrider) ![Outrider logo](https://controlplane.com/images/customers/outrider.svg) > The less attention we spend on infrastructure and problems, the more we can focus on building solutions for our schools. ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga [Read the case study](https://controlplane.com/customers/minga) ![Minga logo](https://controlplane.com/images/customers/minga-logo.png) > We host thousands of client domains from a single multi-tenant SaaS product in addition to various microservices, and Control Plane has the flexibility to configure routing as we want to. ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu [Read the case study](https://controlplane.com/customers/popmenu) ![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) > Building things is so much easier now. But then you hit architecture, security, infrastructure. Control Plane helps us clear that hurdle fast. ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv [Read the case study](https://controlplane.com/customers/inspectiv) ![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) > Control Plane positively impacted our daily operations by enabling us to host services in multiple regions with 99.999% availability and ultra-low latency — enhancing our customer trust. ![Gus Fune](https://controlplane.com/images/customers/gus-fune.jpeg) Gus Fune CTO, DIV Brands [Read the case study](https://controlplane.com/customers/div-brands) ![DIV Brands logo](https://controlplane.com/images/customers/baerskin-logo.svg) > Control Plane has really, really simplified how we manage our infrastructure. It allows us to move faster and focus on what matters for our customers. ![Cam Long](https://controlplane.com/images/customers/cam-long.jpeg) Cam Long Co-Founder, Jora AI [Read the case study](https://controlplane.com/customers/jora) ![Jora AI logo](https://controlplane.com/images/customers/jora.svg) > Control Plane enables us to deliver a SaaS product to enterprise teams across markets around the world, while at the same time maintaining our development momentum to roll out new features. ![Sven Brueckner](https://controlplane.com/images/customers/sven-brueckner.jpeg) Sven Brueckner CTO, Meso AI [Read the case study](https://controlplane.com/customers/meso-ai) ![Meso AI logo](https://controlplane.com/images/customers/meso-ai.svg) > Each of my engineers probably saves 30% of their time by using Control Plane. DevOps tasks that used to take us 5 days we can now do in 1 day, so it allows us to focus on our application rather than our infrastructure. ![Max Feinberg](https://controlplane.com/images/customers/verdova_max_feinberg.jpg) Max Feinberg CTO, Verdova [Read the case study](https://controlplane.com/customers/verdova) ![Verdova logo](https://controlplane.com/images/customers/verdovaLogo.png) > Control Plane has been a game-changer for our team, cutting our server costs by 90% and eliminating the time we spent on DevOps. Their outstanding customer service and seamless platform made the transition easy, and we've seen huge improvements in debugging and overall efficiency. ![Desean Prentice](https://controlplane.com/images/customers/desean-prentice.jpeg) Desean Prentice Co-Founder & CTO, Qualifi [Read the case study](https://controlplane.com/customers/qualifi) ![Qualifi logo](https://controlplane.com/images/customers/qualifi.svg) > Before Control Plane, our releases were unpredictable, sometimes taking over an hour. Now, our deployments happen in a matter of minutes, drastically improving our engineering efficiency. ![Pete Torres](https://controlplane.com/images/customers/pete-torres.jpeg) Pete Torres SVP of Engineering, Linker Finance [Read the case study](https://controlplane.com/customers/linker-finance) ![Linker Finance logo](https://controlplane.com/images/customers/linker-finance.svg) [See all customer stories](https://controlplane.com/customers) ## Operate any infra as oneAI-native cloud Deploy, scale, observe, and secure every layer of your virtual cloud through one symmetric interface, identical for humans and AI agents.[Explore the platform →](https://controlplane.com/platform) Cloud spend ### Any Cloud Infra AWSP0 incidentPostgresGCPHigh latencyRedisAzureEgress +$14kMongoDBBare metalSecret leakedRabbitMQKubernetesOOMKilledOCIConfig drift Optimizing spend ### One AI-native virtual cloud SecurityObservabilityNetworkingSecretsIdentity ![AWS](https://controlplane.com/images/providers/aws-color-light.svg)![GCP](https://controlplane.com/images/providers/gcp-color.svg)![Azure](https://controlplane.com/images/providers/azure-color.svg)![Kubernetes](https://controlplane.com/images/providers/kubernetes.svg)![OCI](https://controlplane.com/images/providers/oracle-badge.svg) ContainerVMAI agentStatefulCronServerlessContainerVMAI agentStatefulCronServerless Cloud spend ### Any Cloud Infra AWSP0 incidentPostgresGCPHigh latencyRedisAzureEgress +$14kMongoDBBare metalSecret leakedRabbitMQKubernetesOOMKilledOCIConfig drift Optimizing spend ### One AI-native virtual cloud SecurityObservabilityNetworkingSecretsIdentity ![AWS](https://controlplane.com/images/providers/aws-color-light.svg)![GCP](https://controlplane.com/images/providers/gcp-color.svg)![Azure](https://controlplane.com/images/providers/azure-color.svg)![Kubernetes](https://controlplane.com/images/providers/kubernetes.svg)![OCI](https://controlplane.com/images/providers/oracle-badge.svg)![Hetzner](https://controlplane.com/images/providers/hetzner-badge.svg)Bare metalOn-premEdge ContainerVMAI agentStatefulCronServerlessContainerVMAI agentStatefulCronServerless Interface ## One Symmetric Interface Every capability is reachable through one identical interface, for humans and AI agents alike. Drive your cloud from an AI agent over MCP, the visual console, the CLI, your IaC, or the REST API. Same actions, same permissions, same audit trail. AI UI CLI IaC API MCP Server Create a new GVC called "production" with locations in aws-us-east-1, gcp-europe-west1, and azure-eastus. GVC "production" created with 3 locations. Task completed Deploy a workload "my-api" to production with image my-org/api:latest, 512Mi memory, 500m CPU. Workload "my-api" deployed. Endpoint: https://my-api-dwdn2vr1jm9yp.cpln.app Task completed Security ## Zero-Trust. Full Audit. Built In. Zero-trust by default, with role-based access control, least-privilege enforcement, and a tamper-proof audit trail built in from the first API call. Every action, by a human or an agent, is logged and attributable. SOC 2 Type II and PCI DSS Level 1 certified. SOC 2 Type IIHIPAAPCI DSS Level 1GDPR 14:32gvcUpdatedmajor-testingron@controlplane.com 14:31domainUpdatedcontrolplane.xyzjoe@controlplane.com 14:30policyCreatedambitious-bison-blank-policysarah@controlplane.com 14:29imageCreatedprefect:cph-2.20.20-20260401sarah@controlplane.com 14:28agentUpdatedlogs-bridge-eastron@controlplane.com 14:27identityUpdatedcloud-identityautobetarajat@controlplane.com 14:26identityCreatedcloud-identityaztestrajat@controlplane.com 14:25workloadOpened a shellprefect-workerjoe@controlplane.com Production-ready ## Enterprise-grade ops The best of the cloud-native ops stack for secrets management, metrics, logging, geo-intelligent DNS and more: integrated, pre-configured, and easy to use. ### Secrets management 12 secret types, encrypted at rest, injected at runtime via workload identity and scoped by least-privilege policies. [Read the docs](https://docs.controlplane.com/guides/create-secret/overview) ### Image registry Private registry per org, with images cached at every location your workload runs in. No pull secrets, no cross-region latency. [Read the docs](https://docs.controlplane.com/reference/image) ### Volume sets Self-expanding storage with predictive autoscaling, scheduled snapshots, and consistent performance classes across AWS, GCP, and Azure. [Read the docs](https://docs.controlplane.com/reference/volumeset) requests/s · p95 latency ### Logs, metrics & tracing Collected automatically for every workload with ready-to-use Grafana dashboards; export to Datadog, CloudWatch, Coralogix, and more. [Read the docs](https://docs.controlplane.com/external-logging/overview) ### Domains & TLS Automatic Let's Encrypt certificates with 60-day renewal, geo-routed to the nearest healthy location with priority-based failover. [Read the docs](https://docs.controlplane.com/reference/domain) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Platform Overview — Control Plane Source: https://controlplane.com/platform Platform Overview # Combine any infrastructure into one virtual cloud Control Plane enables you to build one or more AI-native virtual clouds out of whatever cloud infrastructure you choose, whether provisioning new infrastructure or consolidating existing substrates. Deploy workloads across any infrastructure using one platform, one operational model, and one consistent developer experience. One symmetric interfaceMCPUICLIIaCAPI Control PlaneVirtual Cloud · GVC Universal IdentityUniversal Cloud Identity Network Capacity AI Policy Workloads & agents: any stackapi-gatewayweb-appml-inferencebilling-svcevents-workercoding-agentagentresearch-agentagent ### Select a layer to learn more Click any component in the diagram to see what it does and jump to its docs. One Symmetric Interface Operate your virtual cloud through one consistent surface: web console, REST API, CLI, IaC, or the MCP server for AI agents. Global Virtual Cloud (GVC) Your virtual cloud's boundary: a set of regions spanning clouds and substrates that your workloads run across as one. Control Plane operates it for you. Workloads & Agents Containers, serverless, cron, stateful services, and AI agents, written in any language or stack, run across every region of your virtual cloud, deployed in minutes. Universal Cloud Identity Give workloads secure, credential-free access to any service on any cloud (AWS, GCP, Azure, OCI) without embedding keys or secrets anywhere. Native Networking A built-in service mesh, a per-workload firewall, and the Cloud Wormhole® that reaches private VPCs and on-prem, encrypted and geo-routed, with no VPN appliances or peering. Capacity AI Continuously right-sizes every workload to the resources it actually needs, cutting cloud spend 30–50% without trading away availability or performance. Policies & Access Control Fine-grained, identity-based policies govern who and what can reach every resource, backed by an immutable audit trail. Any Compute Substrate Bare metal, VMs, your hyperscaler accounts, or managed clusters: each is virtualized into an identical region of your virtual cloud, deployable in minutes. Any Cloud Service Use S3, DynamoDB, BigQuery, Entra ID, and 600+ more: any managed service from any cloud, used as if it were native to your workload, brokered by Universal Cloud Identity. Compute substratesVMBare MetalK8sAWSGCPAzureEdge Cloud services![PostgreSQL](https://controlplane.com/images/templates/postgresql.png)![Redis](https://controlplane.com/images/templates/redis.png)![MongoDB](https://controlplane.com/images/templates/mongodb.png)![Kafka](https://controlplane.com/images/templates/kafka.png)![MySQL](https://controlplane.com/images/templates/mysql.png)![ClickHouse](https://controlplane.com/images/templates/clickhouse.png)![RabbitMQ](https://controlplane.com/images/templates/rabbitmq.png)![NATS](https://controlplane.com/images/templates/nats.png)![MinIO](https://controlplane.com/images/templates/minio.png)![OpenSearch](https://controlplane.com/images/templates/opensearch.png)![CockroachDB](https://controlplane.com/images/templates/cockroachdb.png)![MariaDB](https://controlplane.com/images/templates/mariadb.png)![TiDB](https://controlplane.com/images/templates/tidb.png)![PostGIS](https://controlplane.com/images/templates/postgis.png)![pgEdge](https://controlplane.com/images/templates/pgedge.png)![etcd](https://controlplane.com/images/templates/etcd.png)![Airflow](https://controlplane.com/images/templates/airflow.png)![Nginx](https://controlplane.com/images/templates/nginx.png)![Tyk](https://controlplane.com/images/templates/tyk.png)![Ollama](https://controlplane.com/images/templates/ollama.png)![FusionAuth](https://controlplane.com/images/templates/fusionauth.png)![Tailscale](https://controlplane.com/images/templates/tailscale.png)![DBeaver](https://controlplane.com/images/templates/dbeaver.png)600+Services ## A virtual cloud in the shape of your workloads Compose, mix, and match any combination of cloud substrates and services. Single cloud ### Any cloud provider, virtualized and simplified Run on any primary cloud provider (AWS, GCP, Azure, OCI) or secondary cloud provider (Hetzner, Akamai, and more). Control Plane virtualizes it into a clean region of your cloud, so you deploy in minutes instead of weeks, skip the per-cloud plumbing, and cut spend with continuous right-sizing. Control PlaneProduction · AWS Workloads & agents api-gatewayweb-appworker Compute substrates us-east-1eu-west-1us-west-2 Cloud services ![PostgreSQL](https://controlplane.com/images/templates/postgresql.png)![Redis](https://controlplane.com/images/templates/redis.png)![MinIO](https://controlplane.com/images/templates/minio.png) Multi-cloud ### Many clouds, one virtual cloud Span AWS, GCP, and Azure as a single cloud: reduce vendor lock-in and standardize operations across every provider. Deploy the same workloads anywhere, with one identity brokering access and one network connecting them. Control PlaneProduction · 3 clouds Workloads & agents api-gatewayweb-appml-inferenceworker Compute substrates us-east-1europe-west1southeastasia Cloud services ![PostgreSQL](https://controlplane.com/images/templates/postgresql.png)![Redis](https://controlplane.com/images/templates/redis.png)![MongoDB](https://controlplane.com/images/templates/mongodb.png)![Kafka](https://controlplane.com/images/templates/kafka.png) Hybrid cloud ### Connect public and private infrastructure Combine public cloud services with private data centers, edge environments, Kubernetes clusters, and bare-metal servers: every substrate virtualized into one identical region of your cloud. Control PlaneProduction · hybrid Workloads & agents api-gatewayml-inferenceevents-workercoding-agentagent Compute substrates us-west-2us-central1EdgeK8sBare Metal Cloud services ![PostgreSQL](https://controlplane.com/images/templates/postgresql.png)![Redis](https://controlplane.com/images/templates/redis.png)![ClickHouse](https://controlplane.com/images/templates/clickhouse.png) On-prem ### Cloud-native operations on your infrastructure Run entirely within your own facilities while maintaining the agility and automation typically associated with public cloud platforms. Control PlaneProduction · on-prem Workloads & agents api-gatewayweb-appevents-worker Compute substrates Bare MetalVMK8sEdge Cloud services ![PostgreSQL](https://controlplane.com/images/templates/postgresql.png)![Redis](https://controlplane.com/images/templates/redis.png)![MinIO](https://controlplane.com/images/templates/minio.png) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Architecture — Control Plane Source: https://controlplane.com/architecture Architecture # The Control Plane platform suite Five components that fit together: managed Kubernetes for any compute, a serverless layer that hides the K8s complexity, a bring-your-own variant for sovereign infrastructure, a pooled GPU marketplace, and the white-glove services that get you there. [Sign Up for Free](https://console.cpln.io/signup)[Talk to an Engineer](https://controlplane.com/contactus) CPLN-MK8s · delivered from the cloud Control PlaneManaged Kubernetes · one cluster, unified API UpgradesAutoscalingSpot cost optimizationAdd-onsCNCF Certified One managed cluster across your compute Bare MetalOn-prem VMsAWSGCPAzureHetzner 01 · Managed Kubernetes, anywhere you have compute ## CPLN-MK8s MK8s delivers a Kubernetes cluster from the cloud to manage bare metal hardware, on-premises virtual machines, or any cloud provider's infrastructure as part of a single managed cluster. Built for environments that lack native K8s facilities, or that need a unified API for deployment and monitoring across mixed compute. - One managed cluster across bare metal, on-prem VMs, and any cloud - Unified API for deploying, upgrading, and continuously monitoring - Add-ons: dashboards, workload identity, logs & metrics, fine-grained authorization - Autoscaling, spot-instance cost optimization, and seamless upgrades - CNCF Certified Kubernetes conformance CPLN-Serverless · five symmetric interfaces MCPUICLIIaCAPI Control PlaneYour Virtual Cloud · any region, any cloud Geo-routingAuto-scalingCost optimizationSecretsService discoveryThreat detectionImage scanningService mesh · mTLSCloud Wormhole®Universal Cloud Identity™ $ cpln workload create --name api-gateway --image my-org/api:latest --type serverless -o json { "kind": "workload", "name": "api-gateway", ... } 02 · Kubernetes without the complexity of Kubernetes ## CPLN-Serverless Run workloads across any number of regions and clouds through five symmetric interfaces: UI, API, CLI, Terraform/Tofu, and Pulumi. Geo-routing, auto-scaling, cost optimization, secrets, service discovery, threat detection, and container scanning are built in. Cloud Wormhole® provides cross-network tunneling and Universal Cloud Identity™ conveys identity across clouds, so workloads stay portable between clouds, or from on-premises to cloud and back. An integrated service mesh provides mutual TLS via Envoy and Istio. - Geo-routing across regions and clouds - Auto-scaling, scale-to-zero, and continuous cost optimization - Secrets management & service discovery built in - Threat detection & container image scanning - Mutual-TLS service mesh via Envoy and Istio - Cloud Wormhole® for cross-network tunneling - Universal Cloud Identity™ for cross-cloud identity - Workload portability between clouds and on-prem CPLN-BYOK · same control plane Control PlaneEvery CPLN-Serverless capability, unchanged WorkloadsNetworkingIdentityObservabilityPolicy Your infrastructure · registers as a location Your KubernetesBare MetalVirtualizedEdge SovereigntyRegulated workloadsYour accounts 03 · Bring-your-own-Kubernetes: same platform, your compute ## CPLN-BYOK Every CPLN-Serverless capability, but executed on customer-controlled compute infrastructure instead of Control Plane facilities. Run on bare metal, virtualized hardware, or provider-owned resources. Keep the operational model, choose where the workloads land. - Same control plane, your underlying compute - Your cluster registers as a location; workloads roll out to it like any region - Bare metal, virtualized, or provider-owned compute - Inherits every CPLN-Serverless feature - Useful for sovereignty and regulated workloads CPLN-GPU-Ocean℠ · one supply, many providers Control PlaneGPU Ocean℠ · pooled procurement & management ProcurementManagementDisposal Excess-capacity providers · reserved instances & bare metal GPUB200GPUH200GPUH100GPUA100GPUL40STPUTPU v5e\+ more 04 · Pool GPU and TPU capacity from many providers ## CPLN-GPU-Ocean℠ GPU Ocean℠ is a cloud computing management solution that pools GPUs, TPUs, and similar advanced computing nodes drawn from excess-capacity providers for resale. It simplifies procurement and management of GPU workloads across diverse, fragmented infrastructure. - Pool GPUs, TPUs, and accelerator capacity - Excess capacity (reserved instances or bare metal) brokered as one supply - Procure, manage, and dispose of capacity wherever it runs - Managed through the same Control Plane interfaces Additional services · white glove White-glove migrationfrom legacy infrastructure to the platform Containerization serviceslegacy apps onboarded without re-architecture Premier supportpriority help from Control Plane engineers Control PlaneYour workloads, running on the platform 05 · Migration, premier support, containerization ## Additional Services Beyond the platform itself, Control Plane offers migration services, premier support, and containerization services, helping customers modernize their cloud and on-prem infrastructure and bring legacy applications onto the platform. - White-glove migration from legacy infrastructure - Containerization services for non-containerized apps - Premier support from Control Plane engineers - Modernize cloud and on-prem infrastructure without re-architecture ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Enterprise — Control Plane Source: https://controlplane.com/enterprise Enterprise # AI-ready in weeks, not years Control Plane virtualizes any combination of the infrastructure you already run (clouds, data centers, Kubernetes, and edge) into one AI-native virtual cloud. No rip-and-replace. No multi-year platform program. 99.999% Uptime SLA SOC 2 · PCI DSS · HIPAA · GDPR compliance built in Any region of any cloud, virtualized 600+ cloud services: use any of them, anywhere 30–50% reduction in cloud spend Least-privilege fine-grained access controls & audit AI-native operations ## Give your cloud infrastructure superpowers Fragmented infrastructure is what makes enterprise AI slow and risky: every environment has its own access model, tooling, and blast radius. Virtualize it all into one cloud, and AI lands on a single, governed surface instead, so you can deploy AI workloads and agents safely, on any substrate, next to the data and GPUs they need. It also means you can manage infrastructure *with* AI. Control Plane's MCP server connects your agent of choice (Claude, Codex, Gemini, or any MCP-capable agent) to your entire virtual cloud. Every agent action passes through the same identity, policy, and audit guardrails as a human operator, so agents get real capability without uncontrolled risk. [Explore the MCP server→](https://docs.controlplane.com/ai/overview) Your agent of choice ![Claude](https://controlplane.com/images/illustrations/claude-color.png)ClaudeCodex![Antigravity](https://controlplane.com/images/illustrations/antigravity.png)Antigravityany MCP-capable agent MCP server Control PlaneYour Virtual Cloud · every substrateYour Virtual Cloud · GVC Every agent action passes through Universal Cloud IdentityPoliciesAudit trail Add a Frankfurt region and deploy api-gateway there. Applied: policy-checked · identity-brokered · audit-logged One virtual cloud ## Virtualize the infrastructure you already have Most enterprises run on a pile of substrates: clouds inherited through acquisitions, hand-maintained clusters, VM estates, bare metal. Each demands its own tooling, team, and care. Control Plane lifts every one of them to the same abstraction: a region of your Global Virtual Cloud. Deploy a workload once and it runs across any combination of clouds and hardware, with networking, identity, TLS, observability, and failover handled by the platform. And your applications keep using the services they depend on (BigQuery, DynamoDB, Entra ID, and 600+ more), brokered securely by Universal Cloud Identity, with no embedded credentials. - Runs in your existing accounts and clusters: your infrastructure stays yours - Adopt incrementally: one workload, one cluster, one region at a time - Standardize operations across providers and reduce vendor lock-in [Explore the platform→](https://controlplane.com/platform) Your agent of choice ![Claude](https://controlplane.com/images/illustrations/claude-color.png)ClaudeCodex![Antigravity](https://controlplane.com/images/illustrations/antigravity.png)Antigravityany MCP-capable agent MCP server Control PlaneYour Virtual Cloud · every substrateYour Virtual Cloud · GVC Every agent action passes through Universal Cloud IdentityPoliciesAudit trail Add a Frankfurt region and deploy api-gateway there. Applied: policy-checked · identity-brokered · audit-logged Right-sized scaling ## Cut compute spend 30–50%, continuously Capacity AI right-sizes every workload at runtime, scaling up to peak demand and down to zero when idle, so capacity tracks what your applications actually use, not what someone provisioned for peak. On Control Plane's managed capacity, billing is usage-based: you pay for the millicores and memory your workloads consume: no idle nodes, no per-region load balancers and NAT gateways. On your own infrastructure (Managed Kubernetes or BYOK), the platform is a simple flat fee per core, and right-sizing packs the same workloads onto fewer nodes, cutting the bill you pay your cloud provider. Real-time cost visibility is built into every virtual cloud, so finance and engineering see the same numbers: current spend, projections, and what changed. > “We've reduced our AWS spend by 75% using Control Plane.” > > Engineering Leader, SAFE Health [See how cost reduction works→](https://controlplane.com/benefits/cost-reduction) Capacity AI · right-sizing at runtime 30–50% saved Static provisioning: paid for, mostly idleCapacity AI allocationActual demand Security & Compliance ## Military-grade security. Instant compliance. Control Plane is zero-trust at every layer: continuous identity verification, least-privilege access, micro-segmentation, and encryption, applied uniformly across every cloud and every substrate in your virtual cloud. Every action (API, CLI, console, or Terraform) lands in an immutable audit trail. Fine-grained policies govern who and what can touch every resource. And because workloads run in your own environments, you keep the compliance posture you've already certified, while the platform brings SOC 2 Type II, PCI DSS Level 1, HIPAA, and GDPR coverage out of the box. [Explore security→](https://controlplane.com/benefits/tenfold-enhancement/security)[Compliance details→](https://controlplane.com/benefits/tenfold-enhancement/security#compliance) Zero-trust, on every substrate - Continuous identity verification & least-privilege access - Fine-grained policies on every resource, every action - Immutable audit trail: API, CLI, UI, and IaC alike - Encrypted mesh + Cloud Wormhole® into private networks Compliance, out of the box SOC 2 Type IIPCI DSS Level 1HIPAAGDPR ## Small steps toward a superpowered cloud. ### No rip-and-replace Control Plane virtualizes what you run today. It doesn't replace it. Existing estates become regions of your virtual cloud instead of technical debt to migrate off. ### Start with one workload Move workloads one at a time, prove value, and expand. No big-bang migration, no parallel platform program to staff. ### Keep your cloud's strengths Teams keep using each cloud's native services, now reachable from anywhere, without credentials to manage. ## Built by cloud architects from SAP, Dell, and VMware VMware virtualized the server and gave enterprise hardware a new lease on life. Control Plane was founded by the architects who lived that playbook — to do the same thing one layer up. What VMware did for the server, Control Plane does for the cloud. [Read our story→](https://controlplane.com/about) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Pricing — Control Plane Source: https://controlplane.com/pricing Pricing calculator # Estimate your bill A typical workload costs less than $5 per month per location. No contracts, minimums, or lock-ins. Provided by Control Plane Self-Hosted ## CPU Capacity AI allocates a continuously optimized number of vCPU millicores (1/1000 of a vCPU) and RAM to guarantee a significant cost saving. [About CPU pricing →](https://docs.controlplane.com/reference/workload/containers#cpu) $0.00/ month vCPU $0.06205654 per millicore-month Millicores Cores ## RAM Capacity AI reduces RAM consumption by approx. 10x, achieving major savings. [About RAM pricing →](https://docs.controlplane.com/reference/workload/containers#memory) $0.00/ month Memory $0.00706330 per megabyte-month MB GB ## Volumes Control Plane offers optional persistent storage for your workloads. You pay per GB-month of provisioned storage. [About Volumes pricing →](https://docs.controlplane.com/reference/volumeset) $0.00/ month General Purpose SSD $0.21224989 per GB-month GB TB High Throughput SSD $0.34099982 per GB-month GB TB Shared Storage $0.35 per GB-month Additional CPU and memory charges apply per shared volume mount point. GB TB Snapshots $5 per snapshot-month Snapshot ## Observability Pay per GB-month of storage. The first 100 GB-months are free. $0.00/ month Logging Storage $0.15 per GB-month GB TB Tracing Storage $0.15 per GB-month GB TB Metrics Storage $0.15 per GB-month GB TB Metrics Collection $0.5 per 10M samples-month First 50M samples free, then $0.5 per 10M samples. Million Samples ## Egress traffic Egress traffic represents the amount of data that is sent to the internet from your workloads. $0.00 Egress $0.12 per GB GB TB ## Dedicated load balancing For advanced use cases, you can provision a dedicated load balancer per GVC. You pay per load balancer-month. [About Dedicated load balancing pricing →](https://docs.controlplane.com/reference/gvc#dedicated-load-balancer) $0.00/ month Dedicated load balancers $60 per load balancer-month Load Balancers Estimated total$0.00/ month - Provided by Control Plane$0.00 - Self-Hosted$0.00 - CPU$0.00 - RAM$0.00 - Volumes$0.00 - Observability$0.00 - Egress traffic$0.00 - Dedicated load balancing$0.00 Billed monthly Clear [Sign Up for Free](https://console.cpln.io/signup) GPUs ## Pay-as-you-go GPU compute Per-second billing on NVIDIA accelerators. Subject to availability. | GPU | Memory | Per GPU-hour | | --- | --- | --- | | NVIDIA B200 | — | $7.93 | | NVIDIA H200 | 141 GB | $4.44 | | NVIDIA H100 | 80 GB | $4.18 | | NVIDIA A100 | 80 GB | $2.23 | | NVIDIA A100 | 40 GB | $2.02 | | NVIDIA V100 | 16 GB | $1.59 | | NVIDIA A10 | 24 GB | $1.29 | | NVIDIA A6000 | 48 GB | $1.15 | | NVIDIA A40 | 48 GB | $0.82 | | NVIDIA L40S | 48 GB | $0.79 | | NVIDIA A5000 | 24 GB | $0.77 | | NVIDIA A4000 | 16 GB | $0.69 | | NVIDIA L4 | 24 GB | $0.44 | | NVIDIA T4 | 16 GB | $0.35 | ## What you don't pay for Built in. Always. No surprise charges or per-feature add-ons. - [NAT gateways](https://docs.controlplane.com/reference/ipset) - [Internet gateways](https://docs.controlplane.com/reference/workload/firewall) - [TLS certificates](https://docs.controlplane.com/reference/domain) - [DNS and global DNS](https://docs.controlplane.com/guides/configure-domain) - [Secrets storage and management](https://docs.controlplane.com/reference/secret) - [Container registry](https://docs.controlplane.com/reference/image) - [Log storage and consolidation](https://docs.controlplane.com/core/logs) - [Metrics (first 50M samples)](https://docs.controlplane.com/guides/default-metrics) - [Shared load balancing](https://docs.controlplane.com/reference/workload/load-balancing) - [Audit trail](https://docs.controlplane.com/core/audittrail) - [Container orchestration (Kubernetes)](https://docs.controlplane.com/concepts/workload) - [Service mesh (Istio)](https://docs.controlplane.com/core/security) - [VPN between VPCs](https://docs.controlplane.com/guides/native-networking/native-networking-setup) - [Auto-scaling](https://docs.controlplane.com/reference/workload/autoscaling) - [Geo-routing & failover](https://docs.controlplane.com/reference/gvc) Kubernetes ## Pricing comparison calculator Already running a Kubernetes cluster? Use our open-source K8s cost analyzer to calculate what the same workloads would cost on Control Plane versus your cloud provider. [Get the K8s cost analyzer](https://github.com/controlplane-com/k8s-cost-analyzer) Demo ## Schedule a Demo Reduce cloud complexity and costs by 30–50% with Control Plane. Enter your information below to book a demo directly with one of our product specialists. ![Minga logo](https://controlplane.com/images/customers/minga-logo.png) > When we initially migrated to Control Plane, our cost savings were probably 30 to 40%. Possibly even more. ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga ![BÆRSkin logo](https://controlplane.com/images/customers/baerskin-logo.svg) > Control Plane positively impacted our daily operations by enabling us to host services in multiple regions with 99.999% availability and ultra-low latency — enhancing our customer trust. ![Gus Fune](https://controlplane.com/images/customers/gus-fune.jpeg) Gus Fune CTO, BÆRSkin First Name\* Last Name\* Work Email\* Role\* Select your roleDeveloper / EngineerDevOps / Platform / SREEngineering Leader (Director, VP, CTO)ArchitectFounderOther What infrastructure are you running today?\* Single cloud Multi-cloud Hybrid On-prem Average monthly spend\* Under $10k / mo Message (Optional) We'll only use your details to arrange your demo. Send ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # MCP Server for AI Agents — Control Plane Source: https://controlplane.com/mcp MCP Server # Teach your AI coding agent to use Control Plane Control Plane's MCP server connects your agent of choice (Claude, Codex, Gemini, or any MCP-capable agent) to your entire virtual cloud. Every agent action passes through the same identity, policy, and audit guardrails as a human operator, so agents get real capability without uncontrolled risk. [Set Up Your Agent](https://docs.controlplane.com/ai/overview)[Sign Up for Free](https://console.cpln.io/signup) ## Connect your agent Two paths: the AI Plugin for Claude Code, Codex, and Antigravity CLI, or the MCP Server for any other MCP-compatible client. MCP server endpoint https://mcp.cpln.io/mcp 1. 01Sign in to Control Plane with Google, GitHub, Microsoft, or SAML. 2. 02Pick the orgs this AI client may access, and click Authorize. Per-client consent lets you scope each AI tool to the smallest org set that makes sense for its job. ## What your agent can do ### Manage Resources Create and configure GVCs, workloads, identities, and more ### Deploy Applications Build images and deploy applications across global locations ### Query Infrastructure Get real-time information about your Control Plane resources ### Automate Workflows Streamline DevOps tasks through conversational AI ## Which path for which tool ### AI Plugin Recommended Includes the MCP server plus skills, agents, slash commands, and guardrails. - Claude Code - Codex - Antigravity CLI [Set up AI Plugin →](https://docs.controlplane.com/ai/plugin) ### MCP Server For any other MCP-compatible AI. - Cursor - Claude Web - Claude Desktop - VS Code - Antigravity IDE - Amp - OpenCode [Set up MCP Server →](https://docs.controlplane.com/ai/overview) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Your code runs anywhere — Control Plane Source: https://controlplane.com/benefits/freedom-to-run-compute-anywhere Solutions # Freedom to run compute anywhere Run unbreakable apps across one or multiple cloud environments and/or on-premises infrastructure from a single, intuitive platform. [Sign Up for Free](https://console.cpln.io/signup)[Talk to an Engineer](https://controlplane.com/contactus) See how Control Plane unifies development across every cloud. ## Seamlessly develop, deploy, and manage with Control Plane Control Plane offers a unified interface to streamline the developer experience across multiple environments. Tasks performed via the Control Plane UI are executable programmatically using CLI, API, Terraform, Pulumi, and more. Integration with any CI/CD provider is seamless. ## Global Virtual Clouds™ built for flexibility Create an unlimited number of Global Virtual Clouds™ (GVC™): collections of locations within one or multiple cloud regions, including on-premises environments. Locations can encompass those from AWS, GCP, Azure, secondary cloud providers like Hetzner, Oracle, or Linode, as well as on-premises bare metal machines or virtual machines. ## Geo-routing and resilience Deployed backend code within a GVC® instantly serves as TLS endpoints with built-in geo-routing. In case of outages, users are seamlessly redirected to the nearest healthy location, backed by an SLA of 99.999% availability and ultra-low latency for all end users. Ensure high availability and low latency for your users by automatically distributing your workloads across strategic cloud locations. ![Control Plane console showing a workload deployed across multiple locations within a GVC.](https://controlplane.com/images/screenshots/benefits/workload-deployments.png) Enlarge Workloads deployed across multiple locations within a single GVC. ## Customization options Engineers have the flexibility to select locations based on organizational needs, ensuring high availability, ultra-low latency, and meeting security and compliance requirements. Tailor your network security by precisely controlling the flow of traffic to and from your applications. ![Control Plane firewall configuration with flexible inbound and outbound request controls.](https://controlplane.com/images/screenshots/benefits/firewall.png) Enlarge Flexible inbound and outbound request controls. ## Components of a GVC® A GVC® can consist of the following: - Locations provided by Control Plane: workloads run on Control Plane's pre-existing clusters across AWS, GCP, and Azure, removing the need to set up your own clusters or cloud accounts. - Locations provided by you or your customers. - A hybrid combination of both. ## Run apps on Control Plane anywhere, anytime — with the flip of a switch. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Minimize Compute Spend — Control Plane Source: https://controlplane.com/benefits/cost-reduction Solutions # Cost reduction of 30–50% on cloud compute Kiss cloud sticker shock goodbye. Businesses typically save 30–50% on their cloud bills with Control Plane's cost optimization engine. [Sign Up for Free](https://console.cpln.io/signup)[Talk to an Engineer](https://controlplane.com/contactus) How Control Plane's usage-based billing eliminates idle spend. ## Only pay for what you use Stop overpaying for Kubernetes nodes, load balancers, and observability tools. Control Plane bills only for actual usage: no idle capacity, no per-feature add-ons. Real-time usage data for every Global Virtual Cloud is built into the platform. ![Control Plane console showing current and projected costs for a Global Virtual Cloud.](https://controlplane.com/images/screenshots/benefits/usage.png) Enlarge Visualization of current and projected costs for a Global Virtual Cloud. > We've reduced our AWS spend by 75% using Control Plane. Engineering Leader, SAFE Health ## Continuous cost optimization Capacity AI continuously right-sizes every workload at runtime, eliminating over-provisioning. The platform scales workloads up to peak demand and down to zero when idle, so you stop paying for capacity you aren't using. ## Kubernetes cost-savings calculator Customers typically cut 30–50% from their monthly cloud bills. The sample analysis below projects $15,875.88 per month, over $190,000 a year. Use our open-source cost-savings calculator to see what migration would save your team. ![Kubernetes cost analysis report showing infrastructure spec, application spec, and projected monthly savings.](https://controlplane.com/images/screenshots/benefits/k8s-cost-analysis.png) Enlarge Sample report showing infrastructure spec, application spec, and an expected savings of $15,875.88/month with Control Plane. ## Accelerated time-to-market Without specialized DevOps and SRE hires, engineering teams ship faster on Control Plane. Unlimited scalability is built in, with no bespoke infrastructure work required. > Control Plane accelerated our time-to-market by six months, giving us a competitive edge. David Chen, Principal Engineer, Allio ## Discover how Control Plane slashes your cloud spend by 30–50%. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Mix any AWS, GCP, Azure services — Control Plane Source: https://controlplane.com/benefits/flexibility Solutions # Mix Any Combination of backing services Gain complete portability and avoid cloud vendor lock-in. Control Plane's Universal Cloud Identity™ lets your workloads run on any cloud or on-prem while consuming a comprehensive mix of services from AWS, GCP, and Azure. [Sign Up for Free](https://console.cpln.io/signup)[Talk to an Engineer](https://controlplane.com/contactus) See how Universal Cloud Identity™ unlocks true multi-cloud freedom. > Control Plane has allowed us to go from concept to production so much faster than before. Something that would take days or weeks can be accomplished in hours. Max Feinberg, CTO, Verdova ## Unlock true multi-cloud agility Run apps anywhere: on AWS, Azure, GCP, Linode, Hetzner, on-prem, and more. Tailor your infrastructure while avoiding cloud lock-in. Some examples: - Use AWS S3 + GCP BigQuery + Azure Cosmos DB - Deploy apps on Linode while using AWS database services - Deploy apps on Azure while using on-prem data stores - Run ML workloads leveraging services across all major clouds > Control Plane simplified our operations, offering seamless multi-cloud management and streamlined Kubernetes operations. Jay Eberhard, Senior Platform Engineer, Outrider ## Break free from cloud-service constraints Avoid individual cloud-service limitations and leverage any service from the hyperscalers, even when running compute off-cloud on secondary providers like Hetzner, Linode, or on-premises infrastructure. ## Cost optimization and performance: the sky's the limit Unlock the true potential of cloud computing with Control Plane, empowering you to craft your ideal cloud environment. Drive innovation while minimizing overhead costs and avoiding vendor lock-in. ## Maximize efficiency with service flexibility By offering the flexibility to mix and match services, organizations can optimize costs, streamline workflows, and effectively implement multi-cloud strategies. ### Best-in-class services Curate your cloud ecosystem with the finest services available, ensuring optimal performance and functionality. ### Avoid all-in-one lock-in Steer clear of expensive single-vendor solutions, maintaining the freedom to choose services tailored to your organization's needs. ### Advanced multi-cloud strategies Strategically leverage multiple cloud providers to enhance resilience, scalability, and agility. ### Streamline multi-cloud workflows Seamlessly integrate workflows and DevOps practices across multiple cloud environments for enhanced efficiency and collaboration. ### Cost-effective compliance Meet regulatory and compliance requirements without breaking the bank by selecting cost-effective yet compliant solutions. ### Seamless provider migration Effortlessly migrate between cloud providers as needed, ensuring flexibility and adaptability in your cloud strategy. ## Achieve ultimate cloud agility with Control Plane's combined-service flexibility. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Developer self-service — Control Plane Source: https://controlplane.com/benefits/tenfold-enhancement Solutions # 10× enhancement in developer experience Maximize your engineering ROI. Control Plane simplifies complexity, boosts efficiency, and ensures compliance. [Sign Up for Free](https://console.cpln.io/signup)[Talk to an Engineer](https://controlplane.com/contactus) ## Cloud ops with single-pane-of-glass clarity Control Plane eliminates the complexity of managing Kubernetes, Istio, Prometheus, Grafana, Vault, Envoy, OpenTelemetry, and KNative, letting teams focus on core development work instead of infrastructure. Monitor and manage deployments across one or multiple cloud providers and regions from a single intuitive console. ![Control Plane console showing workloads across multiple cloud providers with health, location, CPU, and memory utilization.](https://controlplane.com/images/screenshots/benefits/workload-deployments.png) Enlarge A clear, consolidated view of every deployment (health, location, CPU, and memory) across multiple cloud providers and regions. ## Spare your team from significant technical burden Stop maintaining 100+ tools to keep your platform running. Control Plane consolidates observability, security, and compliance into a unified platform, achieving instant cloud-native maturity without the tool fragmentation. ![CNCF landscape showing the typical cumbersome stack of over 100 tools required to achieve sophisticated cloud infrastructure.](https://controlplane.com/images/screenshots/benefits/cncf.png) Enlarge The typical stack (100+ tools) required to assemble sophisticated cloud infrastructure without Control Plane. ## Maximize your engineering ROI Integrate seamlessly with your preferred tools while removing operational overhead. Real-time visibility into application logs across all cloud environments lets you troubleshoot, monitor, and resolve issues quickly. ![Control Plane centralized log management interface showing application logs across a Global Virtual Cloud.](https://controlplane.com/images/screenshots/benefits/workload-logs.png) Enlarge Centralized log management: query and view application logs across your entire Global Virtual Cloud. ## Three pillars of platform maturity ### Observability Real-time visibility into your applications, streamlining issue resolution and optimization. ### Security Fortify every layer of your cloud infrastructure with a zero-trust approach. ### Compliance Adhere to industry standards like SOC 2, PCI DSS, HIPAA, and GDPR with ease. ## Maximize engineering ROI with the platform that consolidates 100+ tools into one. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Military-Grade Security & Instant Compliance — Control Plane Source: https://controlplane.com/benefits/tenfold-enhancement/security Solutions # Military-grade security and instant compliance Every layer of your cloud infrastructure is secure, so teams can innovate with peace of mind. [Sign Up for Free](https://console.cpln.io/signup)[Talk to an Engineer](https://controlplane.com/contactus) ## Scale with compliance Control Plane is SOC 2 Type II, PCI DSS Level 1, HIPAA, and GDPR compliant. The platform provides important compliance controls, operating integrity, and standardized audit processes across multiple operating environments, addressing regulatory concerns whether you're in a multi-cloud or single-cloud setup. ## Reduce the compliance burden Engineering teams gain freedom to focus on functionality and development without being mired in infrastructure or compliance concerns. Control Plane's abstraction of security and compliance allows for least-privilege access and the ability to extend policies and standards across different cloud providers. Engineers have reported an order-of-magnitude increase in productivity due to the reduced scope around compliance, observability, auditability, and general security controls. ## Continuous security verification Control Plane embraces a zero-trust security approach: continuous identity verification, least-privilege access, continuous monitoring, micro-segmentation, and encryption. ## Secure networking across clouds Cloud Wormhole® provides secure access to private network resources via a software-defined VPN implementing the WireGuard protocol. Combined with VPC peering, AWS PrivateLink, and equivalent private-link methods on Azure and GCP, you get cross-cloud secure networking that spans one or multiple clouds, granting workloads precise access to specific network services with granular access control. ![Cloud Wormhole identity configuration with FQDN, accessible ports, and cloud connectivity options.](https://controlplane.com/images/screenshots/benefits/wormhole.png) Enlarge Configure a Cloud Wormhole identity: FQDN, accessible ports, and cloud-specific connectivity. ## Fine-grained access control Create detailed access-control policies that define who can access what, down to the finest detail. ### Resource-specific permissions Define precise permissions for every resource in your organization. Map actions like create, delete, and edit to specific users, service accounts, groups, or identities, for a robust zero-trust security posture. ![Control Plane policy editor showing a 'user-a' policy granting read-only permissions.](https://controlplane.com/images/screenshots/benefits/policy.png) Enlarge A 'user-a' policy granting a specific user read-only access: zero-trust permissions, resource by resource. ## Immutable record of actions A complete, tamper-proof audit trail of every action across your cloud environment. ### Comprehensive audit trail Control Plane's audit-trail service provides an immutable record of all resource mutations, whether initiated by API, CLI, UI, Terraform, or other means. Search, filter, and review actions to gain visibility into timestamps, resource details, user information, and raw event data. ### Streamlined audit review Apply filters by resource type, audit context, resource name or ID, subject name, and date range, streamlining audit review and ensuring compliance with ease. ![Connect tab in the Control Plane console for SSH sessions to specific containers within workloads.](https://controlplane.com/images/screenshots/benefits/workload-connect.png) Enlarge The Connect tab: establish SSH sessions directly to specific containers within your workloads. ![Audit trail for a workload showing timestamp, name, version, status, modification details, and acting user.](https://controlplane.com/images/screenshots/benefits/audit-trail.png) Enlarge Detailed audit trail per workload: timestamp, version, status, what changed, and who changed it. How the immutable audit trail works in practice. ![Audit trail UI showing a diff with clear color differentiation between previous and current versions.](https://controlplane.com/images/screenshots/benefits/audit-diff.png) Enlarge Audit-trail diff view: every action on a workload, with clear before-and-after color differentiation. ## Audit-trail details Every entry includes: - Timestamp - Name of resource - Kind of resource - Version - Result - Message - Subject (acting user), IP address, and authentication attributes - Link to the raw JSON of the event ## Comprehensive secrets management Hardcoded secrets, inadequate encryption, access-control gaps, and limited visibility — solved. ### Simplified and standardized Control Plane's secrets-management subsystem reduces cognitive load for software and DevOps engineers by providing a secure, standardized approach to managing secrets across any cloud or on-prem environment. ### Seamless secrets injection Secrets can be seamlessly injected into containers as environment variables or mounted as files — enhancing security and reducing the risk of exposure. ## Innovate fearlessly with Control Plane's scalable, multilayered cloud security. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Best-in-class observability — Control Plane Source: https://controlplane.com/benefits/tenfold-enhancement/observability Solutions # Unprecedented observability across your entire cloud Aggregated logging, metrics, and tracing: eliminate blind spots in your applications, no matter where they're deployed. [Sign Up for Free](https://console.cpln.io/signup)[Talk to an Engineer](https://controlplane.com/contactus) ## Real-time visibility, everywhere Gain real-time visibility into your application logs across all cloud environments. Troubleshoot, monitor, and resolve issues quickly. Control Plane centralizes logs, metrics, and tracing from workloads executing across one or multiple locations, presenting them as if they originated from a single source. ## Centralized log management Gain complete visibility into your application logs, enabling faster issue resolution, improved monitoring, and optimized performance across your entire cloud footprint. ### Cloud-agnostic log aggregation Seamlessly collect and centralize logs from workloads running across multiple cloud providers and locations. Access centralized logs through the Control Plane UI and CLI, with a user-friendly interface for executing queries and inspecting log data. ### Real-time logging and flexible querying Identify issues quickly with real-time log ingestion and powerful querying using LogQL. Filter logs by location, container, start/end dates, and more to pinpoint workload-specific problems effortlessly. ### Integrated Grafana explorer Visualize and analyze log data through the built-in Grafana explorer. Filter by GVC™, workload, time range, and more, gaining deeper insights into your cloud infrastructure for quick identification and resolution of issues. ### External log-provider integration Seamlessly ship logs to external providers like Coralogix, Datadog, Amazon S3, and Logz.io, leveraging their storage and visualization capabilities for a consolidated view of your data. ![Control Plane centralized log management interface showing application logs across a Global Virtual Cloud.](https://controlplane.com/images/screenshots/benefits/workload-logs.png) Enlarge Centralized log management: query and view application logs across your entire Global Virtual Cloud. Walkthrough of the centralized log experience. ![Grafana explorer interface fully integrated into Control Plane.](https://controlplane.com/images/screenshots/benefits/grafana.png) Enlarge Integrated Grafana explorer: filter by GVC, workload, and time range without leaving the console. ![Configuration screen for shipping logs to external providers like CloudWatch, Datadog, Logz.io, and S3.](https://controlplane.com/images/screenshots/benefits/org-external-logs.png) Enlarge Ship logs to external providers: CloudWatch, Datadog, Logz.io, S3, and more. ## Master metrics management with ease Embrace data-driven decision-making with Control Plane's powerful metric collection. Gain a comprehensive view of your cloud operations to identify bottlenecks, optimize resource utilization, and deliver a superior experience to your customers. ### Prometheus-formatted metric collection Collect and centralize custom metrics from your workloads in the widely-adopted Prometheus format, with no complex integrations required. Build unlimited custom dashboards in Grafana and set alerts via PagerDuty, SMS, email, Slack, and more. ### Granular configuration Configure metric collection at the container level, giving you fine-grained control over which metrics are collected and from where. ### Flexibility and scalability As your applications scale and evolve, Control Plane's metric collection grows with you, providing a future-proof solution for your monitoring needs. ![Prometheus-based metric collection and dashboard within Grafana.](https://controlplane.com/images/screenshots/benefits/grafana-metrics.png) Enlarge Prometheus-formatted metrics streamed straight into Grafana dashboards. Setting up Prometheus-based metric collection end-to-end. ## Flexible distributed tracing Gain precision, clarity, and control in understanding and optimizing your application's performance. Interact with your microservices end-to-end and never miss a trace. ### Seamless OpenTelemetry integration Direct integration with the OpenTelemetry Protocol (OTLP) ensures your tracing data is collected with unparalleled accuracy and efficiency. Choose your preferred tracing backend and let Control Plane handle the complexities. ### Advanced visualization in Grafana A comprehensive view of logs and traces across GVCs, locations, workloads, and container replicas, translated into clear, actionable insights through customizable dashboards. ### Customizable Envoy/Istio configuration Flexible configurations let you tailor your tracing strategy to your operational requirements, accommodating diverse preferences for tracing data collection and analysis. ![Control Plane tracing configuration with integrations for Lightstep, OpenTelemetry, and native tracing.](https://controlplane.com/images/screenshots/benefits/gvc-tracing.png) Enlarge Seamless integration with Lightstep, OpenTelemetry, and Control Plane's native tracing. ![Tracing visualization in Grafana with detailed filters for workloads, locations, and container metrics.](https://controlplane.com/images/screenshots/benefits/tracing-3.png) Enlarge Tracing visualization in Grafana: filter performance data by workload, location, and container. ## Eliminate backend visibility challenges with Control Plane. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Compare Control Plane: vs Render, VMware, Kubernetes, AWS and More | Control Plane Source: https://controlplane.com/compare Control Plane comparisons # How Control Plane compares Compare Control Plane to other technologies and platforms for deploying and hosting apps and agents ## Top comparisons Start here if you are deciding between Control Plane and one of the major platforms. [### Control Plane vs AWS AWS-native container services vs a cloud-agnostic layer in your own accounts. Read the comparison→](https://controlplane.com/compare/control-plane-vs-aws)[### Control Plane vs Azure Azure-native container hosting vs one layer that spans every cloud. Read the comparison→](https://controlplane.com/compare/control-plane-vs-azure)[### Control Plane vs Kubernetes Running clusters yourself vs no cluster, network, or identity stack to operate. Read the comparison→](https://controlplane.com/compare/control-plane-vs-kubernetes)[### Control Plane vs Google Cloud Run Single-cloud serverless containers vs the same model across AWS, GCP, Azure, and on-prem. Read the comparison→](https://controlplane.com/compare/control-plane-vs-cloud-run)[### Control Plane vs Render A managed developer PaaS vs running the same apps in your own cloud, on one cloud or several. Read the comparison→](https://controlplane.com/compare/control-plane-vs-render)[### Control Plane vs Railway Push-to-deploy simplicity vs a full platform you own, with scale-to-zero and no lock-in. Read the comparison→](https://controlplane.com/compare/control-plane-vs-railway)[### Control Plane vs Fly.io Edge machines and per-region control vs one unified virtual cloud across providers. Read the comparison→](https://controlplane.com/compare/control-plane-vs-fly-io)[### Control Plane vs Heroku The classic PaaS vs the same developer experience running in your own cloud. Read the comparison→](https://controlplane.com/compare/control-plane-vs-heroku)[### Control Plane vs OpenShift An enterprise Kubernetes stack you operate vs a managed multi-cloud layer. Read the comparison→](https://controlplane.com/compare/control-plane-vs-openshift)[### Control Plane vs VMware Cloud virtualization vs server virtualization, and what modernizing off Broadcom licensing looks like. Read the comparison→](https://controlplane.com/compare/control-plane-vs-vmware) ## The full comparison library Compare Control Plane to other tools and platforms in the DevOps landscape [vs Nutanix](https://controlplane.com/compare/control-plane-vs-nutanix)[vs Rancher](https://controlplane.com/compare/control-plane-vs-rancher)[vs Qovery](https://controlplane.com/compare/control-plane-vs-qovery)[vs Coolify](https://controlplane.com/compare/control-plane-vs-coolify)[vs HashiCorp Nomad](https://controlplane.com/compare/control-plane-vs-nomad)[vs Porter](https://controlplane.com/compare/control-plane-vs-porter)[vs Koyeb](https://controlplane.com/compare/control-plane-vs-koyeb)[vs DigitalOcean App Platform](https://controlplane.com/compare/control-plane-vs-digitalocean-app-platform)[vs Aptible](https://controlplane.com/compare/control-plane-vs-aptible)[vs Docker Swarm](https://controlplane.com/compare/control-plane-vs-docker-swarm)[vs Crossplane](https://controlplane.com/compare/control-plane-vs-crossplane) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Control Plane vs AWS (ECS, EKS, Fargate): Multi-Cloud vs AWS-Native Containers (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-aws [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs AWS (ECS, EKS, Fargate) Comparison # Control Plane vs AWS (ECS, EKS, Fargate) 8 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated September 21, 2026First published July 9, 2026 ## Summary **Control Plane** runs your standard containers and full virtual machines across AWS, GCP, Azure, and on-prem as one virtual cloud in your own accounts, with no single-cloud lock-in and no Kubernetes cluster you are forced to operate. Each workload reaches native services on any cloud credential-free, scales to zero when idle, and runs under one identity and network model. AWS-native services (ECS, Fargate, EKS) run your containers on AWS alone, tied to AWS IAM, VPC networking, and AWS billing. So Control Plane runs your workloads across any cloud, including AWS, where AWS-native primitives tie your platform to just one. | At a glance | Control Plane | AWS | | --- | --- | --- | | Runs across clouds | ●●●●● | ●●●●● | | Cluster to operate | None required (run your own if you want) | Nodes on EKS; ECS/Fargate less | | Scale-to-zero | ✓ Yes | Limited | | Lock-in / exit | Your accounts | AWS-native | | Identity | Cross-cloud | IAM (AWS only) | | Workload types | Serverless to VMs in one model, plus Sandboxes | ECS, EKS, Fargate, EC2 separately | Control Plane runs in your AWS account, and can run on GCP, Azure, and on-prem at the same time, so this is not about leaving AWS. ECS, Fargate, and EKS run your containers on AWS alone, tied to AWS IAM, VPC networking, and billing. The difference is architectural: with Control Plane, your workloads and their identity and networking live one level above any single provider, so AWS becomes a place your platform runs instead of the thing your platform is made of. ## The core difference: AWS-native primitives vs a cloud-agnostic layer ECS, Fargate, and EKS are AWS-native container services. ECS is AWS's own orchestrator, Fargate is the serverless way to run ECS or EKS tasks without managing servers, and EKS is managed Kubernetes. All three integrate with AWS-only services: AWS IAM for identity, VPC for networking, CloudWatch, and ALB. That integration exists only on AWS, and with EKS you still operate a cluster and its node groups. Control Plane sits one level up as a cloud virtualization platform. It turns any mix of clouds, regions, Kubernetes clusters, and on-prem servers into one virtual cloud, so you build your own cloud rather than adopting a single provider's. You deploy standard containers to that layer. They run across AWS, GCP, Azure, and your own servers under one identity and network model, with nothing to operate underneath. It is built on Kubernetes, but on Control Plane's managed compute you never have to operate a cluster or bring Kubernetes expertise to do so. Teams that already run Kubernetes keep that option: Managed Kubernetes (MK8s), where Control Plane operates fully managed Kubernetes clusters for you, and Bring Your Own Kubernetes (BYOK), where you connect and run your own existing clusters under Control Plane, both sit alongside the managed compute. The resource model is simple: an Org contains GVCs (global virtual clouds), and a GVC contains Workloads. The same model extends past containers. Control Plane runs full Linux and Windows virtual machines as first-class workloads next to serverless, standard, stateful, and cron containers, so VM-based apps lift in as they are and containerize on your schedule instead of being re-architected first. Sandboxes do the same for AI agents and untrusted code: isolated workloads you create and tear down like any other, under the same identity, network, and deployment model. On AWS those shapes live in separate services with separate models, EC2 for VMs and ECS or EKS for containers; here they are entries in one deployment surface. ## Why teams look past AWS-only AWS-native services couple your platform to AWS by design. When your compute, identity, and networking are ECS tasks, AWS IAM roles, and VPCs, your platform is portable in name only. Moving later means re-plumbing IAM, rebuilding networking, and renegotiating billing. All of that raises the cost of ever leaving and weakens your position at renewal time. The drivers that push teams to a cloud-agnostic layer are concrete: resilience against a single provider's outages or region failures, data sovereignty rules that require workloads in specific jurisdictions or clouds, cost leverage from running where each workload is cheapest, and acquisitions that suddenly leave you operating across two or three clouds at once. Adopting a portable layer early is far easier than retrofitting one later, once your compute, identity, and networking are already wired to AWS IAM, VPC, and billing. ## Which one should you pick? ### Choose Control Plane if... - You want to mix and match the compute and cloud services each app needs, and change that later without re-plumbing. - You want day-two operations handled: security, cost control, observability, and resilience built in. - You want credential-free access to native services like S3, DynamoDB, and BigQuery across clouds. - You want the freedom to never operate a Kubernetes cluster, while keeping the option to run your own with Managed Kubernetes (MK8s) or Bring Your Own Kubernetes (BYOK). - You want headroom to run across AWS, GCP, Azure, and on-prem, whether for resilience, data sovereignty, cost leverage, or an acquisition. ### Choose AWS-native if... - Your spend is committed under an AWS Enterprise Discount Program and consolidating on AWS-native services is part of that math. - Your team already carries deep AWS IAM and VPC expertise, and multi-cloud, acquisitions, and data-residency constraints are realistically off the table for you. - You are all-in on AWS managed services end to end and accept the coupling to one provider as the price of that integration. If any of those stop being true later, the coupling is the cost: ECS, EKS, and Fargate exist only on AWS, wired to AWS IAM, VPC, CloudWatch, and ALB, and with EKS you also operate the cluster and its node groups. ## Control Plane vs AWS, side by side | Dimension | Control Plane | AWS (ECS / EKS / Fargate) | | --- | --- | --- | | Clouds supported | AWS, GCP, Azure, and on-prem as one layer | AWS only | | Lock-in | Standard containers, your own accounts, portable | AWS IAM, networking, and billing | | Identity | Universal Cloud Identity, credential-free access across clouds | AWS IAM only | | What you operate | No cluster required; run your own if you want, with MK8s or BYOK | Cluster and nodes on EKS, less on ECS and Fargate | | Networking | One network model across clouds | Per-account VPC setup | | Scale-to-zero and right-sizing | Yes, plus Capacity AI right-sizing | Varies by service | | Workload types | Serverless, standard, stateful, cron, and VM in one model, plus Sandboxes for AI agents and untrusted code | ECS, EKS, Fargate, and EC2 as separate services | | Compliance | PCI DSS Level 1, SOC 2 Type II, HIPAA, and GDPR at the platform level, applied across every cloud you run on | Broad certifications, on AWS only, under the shared-responsibility model | | Best for | Adaptable apps and day-two operations, with multi-cloud headroom when you need it | All-in on AWS-native | ## What credential-free access actually looks like "Credential-free" can sound like magic until you see the configuration. On Control Plane, cloud access is declared on an identity, and the workload links to it. This is the entire setup for a workload that needs an S3 bucket: ``` kind: identity name: my-app-identity gvc: my-gvc aws: cloudAccountLink: //cloudaccount/my-aws policyRefs: - my-app-s3-policy # or an AWS-managed policy: aws::AmazonS3ReadOnlyAccess --- kind: workload name: my-app gvc: my-gvc spec: identityLink: /org/my-org/gvc/my-gvc/identity/my-app-identity ``` Control Plane provisions a matching least-privilege IAM role in your AWS account and hands the workload short-lived credentials at runtime through the native identity interface, the same way an EC2 instance receives its role. The AWS SDK finds them with zero configuration in your code, no keys are stored anywhere, and the identity works the same whether the workload happens to be running on AWS, GCP, Azure, or on-prem. The full mechanics are in the [identity docs](https://docs.controlplane.com/reference/identity). ## Which fits your scenario **Control Plane fits: a team that cannot afford to be anchored to one cloud.** Picture a company running its platform on AWS today, but facing a data-sovereignty rule to keep some workloads in the EU, or absorbing an acquisition that runs on GCP. The platform layer absorbs both events instead of the team: EU workloads deploy to EU regions, the acquired GCP estate joins the same deployment surface, and nothing about identity or networking gets rebuilt per cloud. Each workload keeps reaching native services like S3, DynamoDB, or BigQuery credential-free through [Universal Cloud Identity](https://docs.controlplane.com/reference/identity), with no Kubernetes cluster anyone is forced to operate. **What AWS-native is.** ECS, EKS, and Fargate run containers on AWS alone, integrated with AWS IAM, VPC, CloudWatch, and the surrounding tooling. Even if you run only on AWS today, Control Plane runs the same containers in your own AWS account with no cluster you are required to operate, credential-free access to those AWS services, and true scale-to-zero, and it leaves you free to add another cloud later without re-plumbing IAM and networking. Adopting it early costs nothing and removes the lock-in that AWS-native primitives build in. **Why teams consolidate on Control Plane.** The moment resilience, data sovereignty, cost leverage, virtual machines, or workloads spanning more than one cloud enter the picture, AWS-native primitives stop being enough, and re-plumbing IAM and networking later is far harder than adopting a portable layer early. With the portable layer in place, adding a cloud is a deployment target rather than a migration project, and you keep the whole AWS ecosystem without running two platforms. > "We've reduced our AWS spend by 75% using Control Plane. We spend less for compute because we can scale to zero with Capacity AI, and a lot of the extras we had to pay for in AWS are built in for free." Engineering Leader, SAFE Health75% lower AWS spend **What about Control Plane's own cost?** A fair question: Control Plane is itself a paid layer, and cutting your AWS bill only counts if your total spend goes down. Control Plane bills on consumption, and the layer pays for itself through what it eliminates. Scale-to-zero stops billing for idle services, Capacity AI right-sizes CPU and memory from actual usage so you pay for what workloads consume rather than what someone once reserved, and the observability, load balancing, and security extras that appear as separate line items on an AWS bill are built in. That mechanism, not a discount, is how teams typically cut cloud compute costs 30 to 50 percent, and how SAFE Health cut AWS spend by 75%. ## Frequently asked questions - Is Control Plane a replacement for AWS ECS, EKS, or Fargate? Yes, and it runs in your AWS account too, so it is not about leaving AWS. ECS, EKS, and Fargate run your containers only on AWS, tied to AWS IAM, VPC networking, and AWS billing. Control Plane runs the same standard containers across AWS, GCP, Azure, and on-prem as one layer in your own cloud accounts, with credential-free cross-cloud access to native services and no Kubernetes cluster you have to operate. It gives you AWS and every other cloud under one identity and network model, so your platform is not locked to a single provider. - Does Control Plane run on AWS or does it replace AWS? It runs on AWS, in your own AWS account, and also on GCP, Azure, and on-prem at the same time. Control Plane is a cloud virtualization platform that turns any mix of clouds, regions, Kubernetes clusters, and on-prem servers into one virtual cloud. You keep using AWS; you just stop being locked to only AWS for compute, identity, and networking. - How does Control Plane handle access to AWS services like S3 and DynamoDB? Through Universal Cloud Identity, which gives each workload credential-free, least-privilege access to native cloud services using temporary session credentials, regardless of which cloud the workload runs in. A workload running on GCP can call DynamoDB or read from S3 with a real AWS IAM role. A workload on AWS can reach BigQuery or Microsoft Entra ID the same way, with no long-lived keys to store or rotate. - What is the difference between AWS-native container services and Control Plane? ECS, EKS, and Fargate are AWS-native primitives. They integrate with AWS-only services, and tie your platform to AWS IAM, VPC networking, and AWS billing. With EKS you still operate a cluster. Control Plane is a cloud-agnostic layer one level above the providers: your workloads, identity, and networking are defined once and placed on any mix of AWS, GCP, Azure, and on-prem in your own accounts, with no cluster to operate and credential-free access to each cloud's native services. - Does Control Plane just shift my AWS bill somewhere else? No. Control Plane bills on consumption, and the savings come from what the platform eliminates rather than from moving spend: scale-to-zero stops billing for idle services, Capacity AI right-sizes CPU and memory from actual usage, and observability, load balancing, and security extras that are separate line items on an AWS bill are built in. Teams typically cut cloud compute costs 30 to 50 percent net of the platform. - Do I have to operate a Kubernetes cluster with Control Plane? You never have to. Control Plane is built on Kubernetes, but its managed compute means there is no control plane to run, no nodes to patch, and no Kubernetes expertise needed to ship. Teams that want Kubernetes keep it: Managed Kubernetes (MK8s) has Control Plane operate fully managed clusters for you, and Bring Your Own Kubernetes (BYOK) connects your existing clusters under Control Plane. That contrasts with EKS, where operating the cluster and its node groups is mandatory. ECS and Fargate reduce AWS-specific operational surface but do not remove it. You deploy workloads and Control Plane handles the rest. ## Committed to AWS, but not to being locked in? One layer, every cloud, your own accounts. You never have to operate a Kubernetes cluster, and you get credential-free access to native services wherever a workload runs. Test it on one real workload, in your own AWS account, and see. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) 99.999% uptime SLA · SOC 2 Type II · PCI DSS Level 1 --- # Control Plane vs Azure (Container Apps, AKS): Multi-Cloud vs Single-Cloud Containers (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-azure [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Azure (Container Apps, AKS) Comparison # Control Plane vs Azure (Container Apps, AKS) 7 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated September 8, 2026First published July 9, 2026 ## Summary **Control Plane** runs the same containers across AWS, GCP, Azure, and on-prem as one layer in your own accounts, free of single-cloud lock-in, with credential-free access to native services including Entra ID and no cluster you have to operate. Azure Container Apps and AKS are single-cloud services that run your containers inside Azure and tie your platform to one provider's identity, networking, and billing. Both can run in your own Azure account, but if you want portability across clouds, one identity and network model, and full VMs alongside containers under one model, Control Plane is the layer that covers it, where an Azure-native container service stops at one cloud. | At a glance | Control Plane | Azure | | --- | --- | --- | | Clouds supported | All + on-prem | Azure only | | Runs across clouds | ●●●●● | ●●●●● | | Cluster to operate | None required | AKS you run | | Right-sizing | ✓ Capacity AI | Manual | | Identity | Cross-cloud + Entra | Entra ID only | Control Plane is a cloud virtualization platform that runs the same standard containers across AWS, GCP, Azure, and on-prem as one surface, in your own accounts, with credential-free cross-cloud identity and no cluster you have to operate. Azure's container services work only inside Azure: Azure Container Apps runs serverless containers with scale-to-zero, and AKS runs managed Kubernetes, both tied to Microsoft Entra ID, Azure networking, and Azure billing. That trade is one cloud versus one layer across every cloud. ## The core difference: single-cloud depth vs a multi-cloud layer Azure Container Apps and AKS are Azure services. They run your containers inside Azure, authenticate through Microsoft Entra ID, use Azure networking, and bill through your Azure subscription. That tight coupling ties them to the rest of the Microsoft ecosystem, and it is also what anchors your platform to one provider. Control Plane sits one level up. Instead of being a service inside a single cloud, it is a layer that runs the same standard containers across AWS, GCP, Azure, and on-prem, in your own cloud accounts, from one UI, CLI, and API. It is built on Kubernetes. On its managed compute you never have to touch Kubernetes: no clusters, nodes, upgrades, or patching to run. When you do want to run Kubernetes, you can, either with Managed Kubernetes (MK8s), where Control Plane operates fully managed clusters for you, or Bring Your Own Kubernetes (BYOK), where you connect your existing clusters under Control Plane. Identity, networking, security, and scaling work the same way regardless of which cloud a given workload lands on. Importantly, this is not "leave Azure." Control Plane runs in your Azure account too, so you can keep Azure and add other clouds as one layer rather than rebuilding a platform in each. ## Why teams look past an Azure-only platform Azure-native services integrate tightly with the Microsoft ecosystem, but the trade is lock-in. When your identity is Entra ID, your networking is Azure, and your billing is a single subscription, moving or spreading workloads later is expensive by design. Teams start weighing a multi-cloud layer for a handful of concrete reasons: resilience against a single provider's outages, data sovereignty and regional requirements, cost leverage across providers, and acquisitions that leave you with workloads in more than one cloud overnight. Adaptability is the through-line: mixing and matching the compute and services an app needs and changing them as requirements shift. Control Plane runs in your Azure account too, so you can keep Azure while removing the single-provider ceiling. ## Which one should you pick? ### Choose Control Plane if... - You want to mix and match the compute and services your app needs and change them later, running the same containers across AWS, GCP, Azure, and on-prem as one layer. - You want to avoid tying your platform to one provider's identity, networking, and billing. - You want credential-free, least-privilege access to native services, including Entra ID, from any cloud. - You want no cluster or nodes you must operate, with scale-to-zero and automatic right-sizing built in, and the option to run your own Kubernetes through MK8s or BYOK when you want it. - You need resilience, sovereignty, cost leverage, or you inherited workloads across clouds through an acquisition. ### Where Azure differs - It runs your containers only inside Azure, through Container Apps or AKS. - It authenticates through Entra ID and bills through a single Azure subscription. - With AKS you operate the cluster and node pools yourself. These are single-cloud characteristics. Control Plane runs the same containers across Azure, AWS, GCP, and on-prem as one layer, reaches Entra ID and other native services credential-free from any cloud, and leaves no cluster you have to operate. ## Control Plane vs Azure-native, side by side | Dimension | Control Plane | Azure (Container Apps / AKS) | | --- | --- | --- | | Clouds supported | AWS, GCP, Azure, and on-prem, as one layer | Azure only | | Lock-in | Standard containers in your own cloud accounts | Entra ID, Azure networking, and Azure billing | | Identity | Universal Cloud Identity: credential-free access to native services including Entra ID from a workload on any cloud, using temporary session credentials with no long-lived secrets | Entra ID only | | What you operate | No cluster or nodes required; run your own with MK8s or BYOK if you want | Cluster and node pools on AKS; less on Container Apps | | Multi-cloud | Native, one layer across providers | Single-cloud | | Scale-to-zero and right-sizing | Yes, plus Capacity AI right-sizing | Container Apps scale-to-zero (AKS via add-ons) | | Workload types | Serverless, standard, stateful, cron, and VM workloads, plus Sandboxes for AI agents and untrusted code, as one layer | Container Apps and AKS as separate services | | Compliance | PCI DSS Level 1, SOC 2 Type II, HIPAA, and GDPR at the platform level, applied across every cloud you run on | Broad certifications, on Azure only, under the shared-responsibility model | | Best for | Mixing and matching compute and services and changing them later, across AWS, GCP, Azure, and on-prem | Workloads kept inside Azure and the Microsoft ecosystem (Control Plane runs in that Azure account too) | ## Which fits your scenario **Control Plane fits: a team that wants Azure without being limited to it.** Picture a company running on Azure today that needs resilience against a single provider's outages, has workloads that must sit in specific regions or clouds for sovereignty, or inherited an AWS estate through an acquisition. Control Plane runs the same standard containers across Azure, AWS, and GCP in their own accounts, under one identity and network model. Each workload reaches native services including Entra ID credential-free through [Universal Cloud Identity](https://docs.controlplane.com/reference/identity), with no cluster they have to operate. **What Azure-native is.** An org whose center of gravity is Azure, invested in Entra ID and Azure-native integrations, can run its containers on Container Apps or AKS inside a single cloud. Control Plane runs in your Azure account too and reaches those same Entra ID and Azure-native services credential-free, so you keep that depth without anchoring your whole platform to one provider's identity, networking, and billing. **Why teams consolidate on Control Plane.** The moment resilience, sovereignty, cost leverage, VMs, or workloads spanning more than one cloud enter the picture, an Azure-only service stops being enough. Control Plane runs the same containers across Azure, AWS, GCP, and on-prem in your own accounts, reaches Entra ID and other native services credential-free from any cloud, and adds full VMs, Sandboxes for AI agents and untrusted code, and one identity and network model, so you keep Azure without being limited to it and avoid running two platforms. > "I would have had to hire a dedicated DevOps engineer, maybe two, in order to get the same level of sophistication we get from Control Plane out of the box." Jim Nasr, CEO, Acoer7 regions across 3 clouds ## Frequently asked questions - Is Control Plane a replacement for Azure Container Apps or AKS? It can be, and it does not have to mean leaving Azure. Azure Container Apps and AKS run your containers inside Azure and bind them to Azure identity, networking, and billing. Control Plane runs the same standard containers as one layer across AWS, GCP, Azure, and on-prem, including in your own Azure account. You get multi-cloud portability and no cluster you have to operate, and you can still run Kubernetes yourself through Managed Kubernetes (MK8s) or Bring Your Own Kubernetes (BYOK). Because Control Plane also runs in your Azure account, you can start on one cloud and consolidate onto a single layer without rebuilding your platform in each cloud. - Does Control Plane run in my own Azure account? Yes. Control Plane runs workloads in your own cloud accounts, including Azure, alongside AWS, GCP, and on-prem, as one layer. This is not a lift-and-shift away from Azure. You can keep running on Azure and add other clouds when you need them, all under one identity, networking, and deployment model. - Can Control Plane access Entra ID and other Azure services? Yes. Control Plane's Universal Cloud Identity gives workloads credential-free, least-privilege access to native cloud services using temporary session credentials. That includes Microsoft Entra ID, along with services like S3, DynamoDB, and BigQuery. This works regardless of which cloud the workload runs in, so a workload on AWS or GCP can still reach Entra ID without long-lived secrets. - What is the difference between Azure-native containers and Control Plane? Azure Container Apps and AKS are single-cloud container services tied to the Microsoft ecosystem, so they bind your platform to one provider's identity (Entra ID), networking, and billing. Control Plane is a cloud virtualization platform: it runs the same standard containers across AWS, GCP, Azure, and on-prem as one layer in your own accounts, with credential-free cross-cloud access to native services and no cluster you have to operate. - Do I have to operate a Kubernetes cluster with Control Plane? You never have to. Control Plane is built on Kubernetes, and on its managed compute there are no clusters, nodes, upgrades, or patching for you to run. If you want to run Kubernetes yourself, you can: Managed Kubernetes (MK8s) has Control Plane operate fully managed clusters for you, and Bring Your Own Kubernetes (BYOK) connects your existing clusters under Control Plane. With AKS you always operate the cluster and node pools. Control Plane lets you choose, across any of the clouds you run on. ## Committed to Azure but wary of lock-in? Run your standard containers across AWS, GCP, Azure, and on-prem as one layer, in your own accounts. You get credential-free access to native services including Entra ID, and no cluster you have to operate. Keep Azure, and stop being limited to it. Test it on one real workload and see. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) 99.999% uptime SLA · SOC 2 Type II · PCI DSS Level 1 --- # Control Plane vs Kubernetes: Operate the Cluster Yourself or Have It Operated for You (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-kubernetes [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Kubernetes Comparison # Control Plane vs Kubernetes 7 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated September 3, 2026First published July 9, 2026 ## Summary **Control Plane** runs your containerized workloads across one cloud or several, and you choose how much of Kubernetes you operate. On managed compute there is no cluster to operate: you deploy workloads and Control Plane runs the hardened, security-isolated Kubernetes clusters underneath, so the control plane, nodes, upgrades, and patching are handled for you rather than by your team. Self-managed Kubernetes takes the opposite approach: you get the full API and total control, and you own every Day-2 operation that comes with running the cluster. If you want cluster-level control without operating the whole stack, Control Plane also runs Managed Kubernetes (MK8s), which operates fully managed clusters for you, and Bring Your Own Kubernetes (BYOK), which connects your existing clusters under Control Plane, where you get full Kubernetes with CRDs, operators, and Helm. | At a glance | Control Plane | Self-managed K8s | | --- | --- | --- | | Cluster to operate | None required | Yours | | Runs across clouds | ●●●●● | ●●●●● | | Scale-to-zero | ✓ Built in | Add-ons | | Ops burden | Low | High | | Security by default | ✓ Kata microVM, mTLS | You configure | | Kubernetes expertise needed | None required | High | Control Plane is built on Kubernetes; the difference is who operates the cluster. With self-managed Kubernetes you get the full API and total control, and you take on every Day-2 operation that comes with it. On Control Plane's managed compute the cluster is operated for you, and you work with simple workload, identity, and policy primitives instead. With Managed Kubernetes (MK8s) you can have Control Plane run a full cluster for you, and with BYOK you connect your own; either way you keep the full Kubernetes API, with Control Plane adding operational levers on top. ## The core difference: run the cluster or have it run for you Self-managed Kubernetes gives you the full Kubernetes API and total control over the cluster. You can install any operator, define custom resources, tune the kubelet, shape networking with your own CNI, and control storage, RBAC, and admission exactly how you want. The cost is that you own the cluster end to end: the control plane, the nodes, upgrades, security patches, networking, storage, and RBAC. Those Day-2 operations never stop, and if you run in more than one cloud you generally do all of it again per cloud. Control Plane is built on Kubernetes and orchestrates hardened, security-isolated Kubernetes clusters for you, so you never have to operate one yourself. It runs across any mix of clouds, regions, existing Kubernetes clusters, and on-prem servers as one layer, so you can build your own cloud from the substrates you already have. On its managed locations, you skip kubeconfig access to nodes and namespaces. Instead, you deploy through an Org to GVC to Workload model with five workload types (serverless, standard, stateful, cron, and VM), plus Sandboxes, microVM-isolated ephemeral environments for AI agents and untrusted code that carry zero stored credentials, auto-sleep, and spin up in under a second. Identity, networking, security, and scaling come as built-in primitives. ## Why teams look past self-managed Kubernetes in 2026 The catalyst is almost always operational overhead. Running clusters means owning upgrades, patching, networking, RBAC, storage, and the full security surface, and staying on top of CVEs and version skew indefinitely. The security surface alone is significant: misconfigured RBAC, exposed API tokens, and unpatched nodes are common sources of incidents. With self-managed Kubernetes you provision and pay for whole nodes, so idle capacity costs money whether or not it is busy. Cost creeps up unless someone is actively right-sizing. And all of this needs deep Kubernetes expertise, which is both scarce and expensive to hire and retain. Most teams conclude they do not need to run clusters to ship containers. They need workloads that run reliably, securely, and cost-effectively; when a platform operates hardened Kubernetes and exposes simple primitives, cluster operations become work they would rather not own. ## Which one should you pick? ### Choose Control Plane if... - You want to ship containerized workloads on managed compute with no cluster to operate, or run full Kubernetes on Managed Kubernetes (MK8s) or BYOK when you want cluster-level control. - You want to run natively across AWS, GCP, and Azure, and extend to other clouds and on-prem via BYOK, as one layer rather than a cluster per cloud. - You want hardened, security-isolated clusters and deny-by-default security without configuring it yourself. - You want scale-to-zero and continuous right-sizing instead of manually tuning capacity. - You have a platform team you want focused higher up the stack, on products and developer experience, instead of routine Kubernetes operations. ### Where self-managed Kubernetes differs - It gives you direct, raw access to the full Kubernetes API and control plane. - It lets you tune the kubelet, CNI, storage, and admission at the lowest level. - It puts kernel-level cluster customization entirely in your hands. These come with owning every Day-2 operation, per cloud. Control Plane operates hardened Kubernetes for you, and its Managed Kubernetes and BYOK clusters give you full CRDs, operators, Helm, and direct API access, with BYOK keeping kubelet, CNI, storage, and kernel-level tuning in your hands, all without owning the whole operational stack. ## Control Plane vs self-managed Kubernetes, side by side | Dimension | Control Plane | Self-managed Kubernetes | | --- | --- | --- | | What you operate | Nothing on managed compute; on Managed Kubernetes and BYOK you keep cluster-level control while Control Plane runs the operational surface | The full cluster: control plane, nodes, upgrades, patches | | Kubernetes API access | Workload, identity, and policy primitives on managed compute; full raw Kubernetes API on Managed Kubernetes and BYOK | Full raw Kubernetes API | | Multi-cloud + on-prem | One layer across clouds and on-prem | A cluster per cloud to build and operate | | Security by default | Kata microVM isolation, deny-by-default firewalls, mTLS, audit | You configure and own all of it | | Identity | Universal Cloud Identity, credential-free cross-cloud | You wire IAM and RBAC per cloud | | Cost controls | Scale-to-zero plus Capacity AI right-sizing | Manual right-sizing and overprovisioning | | Kubernetes expertise needed | None required to run on managed compute | High | | Compliance | PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR | You achieve it yourself | | Best for | Shipping workloads with or without operating a cluster (managed compute, Managed Kubernetes, or BYOK) | Owning and operating raw clusters end to end | ## Which fits your scenario **Control Plane fits: a platform team that wants to work higher up the stack.** A company running roughly forty containerized microservices across AWS and GCP, whose platform team would rather invest in developer experience and product surfaces than spend its days on cluster upgrades, CVE patching, and per-cloud RBAC. Control Plane runs those workloads on hardened, security-isolated clusters it operates for them, under one identity and network model across both clouds. Quiet services scale to zero, and deny-by-default security is on without their configuring it. The platform team's time shifts to where it adds the most value. **What self-managed Kubernetes is.** Self-managed Kubernetes means owning and operating the cluster control plane yourself: tuning the kubelet and CNI, and taking on every upgrade, patch, and per-cloud RBAC, security, and networking configuration. When raw cluster access is a hard requirement, Control Plane covers that too. Its Managed Kubernetes and BYOK clusters give you full CRDs, operators, Helm, and direct API access on a platform that handles the operational surface, so wanting cluster-level control never means running the whole stack by hand. **Why teams consolidate on Control Plane.** The moment cluster operations, multi-cloud sprawl, and the cost of idle capacity add up, running clusters by hand stops being worth it. Control Plane operates hardened Kubernetes across every cloud and on-prem as one virtual cloud, under one identity, network, and policy model, and still gives you full cluster access on Managed Kubernetes or BYOK where you need it, so the platform team spends its time where deep control actually matters instead of on routine cluster operations everywhere. > "Control Plane makes it very easy to deploy containers into a Kubernetes-like environment, with all the benefits and none of the pain." Joe Klimowicz, Director of Cloud and Platform Engineering, PrimeRx ## Frequently asked questions - Is Control Plane just managed Kubernetes? Not quite. Control Plane is built on Kubernetes and orchestrates hardened, security-isolated Kubernetes clusters for you, but it does not hand you a cluster to run. Instead of kubeconfig access to nodes and namespaces on its managed locations, you work with higher-level workload, identity, and policy primitives. So it is closer to a platform that operates Kubernetes on your behalf than to a managed control plane you still administer. If you want to own and tune the cluster itself, Control Plane's Managed Kubernetes (MK8s) and Bring Your Own Kubernetes (BYOK) clusters give you that cluster-level control without operating the whole stack. - Do I lose Kubernetes if I use Control Plane? It depends which compute you use. On Control Plane's managed compute you work with higher-level primitives and do not touch the raw Kubernetes API, kubelet, or namespaces. But Control Plane also runs Managed Kubernetes (MK8s), which operates fully managed clusters for you, and Bring Your Own Kubernetes (BYOK), which connects your existing clusters, and on those you get full Kubernetes: CRDs, operators, Helm charts, and direct API access, with Control Plane adding identity, networking, and operational levers on top. So needing CRDs or operators does not mean leaving Control Plane; it means running them on an MK8s or BYOK cluster rather than managed compute. - What is the difference between Control Plane and self-managed Kubernetes? Self-managed Kubernetes gives you the full Kubernetes API and total control, and in exchange you operate the cluster: control plane, nodes, upgrades, patches, networking, RBAC, storage, and security. Control Plane is built on Kubernetes but you never have to operate a cluster. It orchestrates hardened, security-isolated clusters for you and exposes simple workload, identity, and policy primitives, across one cloud or several. The real choice is whether you operate the cluster yourself or have Control Plane operate it for you. - Why do teams move away from self-managed Kubernetes? Usually because of operational overhead and cost. Running clusters means owning upgrades, patching, networking, RBAC, storage, and the security surface, and doing it again per cloud if you are multi-cloud. That work needs deep Kubernetes expertise, which is scarce and expensive, and idle clusters cost money whether or not they are busy. Most teams conclude they do not actually need to run clusters to ship containers, so they hand the cluster operations to a platform and keep the workloads. - Can Control Plane run across multiple clouds and on-prem? Yes. Control Plane runs containers and VMs across AWS, GCP, Azure, and on-prem from one UI, CLI, and API, as a single layer. With self-managed Kubernetes you typically build and operate a separate cluster per cloud and wire identity, networking, and policy together yourself. Control Plane gives you one identity, network, and policy model across all of them, including Universal Cloud Identity for credential-free access to native cloud services. ## Tired of operating clusters? Run your containers and VMs across AWS, GCP, Azure, and on-prem as one virtual cloud, on hardened Kubernetes clusters that are operated for you, with no upgrades, patching, networking, or RBAC to own. Test it on one real workload and see. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) 99.999% uptime SLA · SOC 2 Type II · PCI DSS Level 1 --- # Control Plane vs Google Cloud Run: Enterprise Runtime vs GCP-Only Serverless (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-cloud-run [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Google Cloud Run Comparison # Control Plane vs Google Cloud Run 6 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated September 8, 2026First published July 9, 2026 ## Summary **Control Plane** runs the same scale-to-zero containers across AWS, GCP, Azure, and on-prem as one virtual cloud, on managed infrastructure by default or in your own accounts, and adds the networking, security, cross-cloud identity, stateful and VM workloads, placement control, and right-sizing that production apps need. Google Cloud Run is a narrower tool: simple, GCP-only serverless containers. Both scale to zero, and both can meet strong compliance, Cloud Run through Google Cloud. The difference is functionality and reach: if you need VMs, stateful and cron workloads, one identity model across clouds, or to run beyond a single cloud without standing up a second platform, Control Plane covers it, where Cloud Run stops at single-cloud serverless. | At a glance | Control Plane | Cloud Run | | --- | --- | --- | | Clouds supported | AWS, GCP, Azure + BYOK/on-prem | GCP only | | Runs across clouds | ●●●●● | ●●●●● | | Scale-to-zero | ✓ Yes | ✓ Yes | | Lock-in / exit | Managed infra or your accounts | GCP-native | | Workload types | Serverless, standard, stateful, cron, VM + Sandboxes | Serverless containers | | Compliance | Portable across clouds | Broad, via Google Cloud | These two products both run scale-to-zero serverless containers, but they are not the same class of tool. Google Cloud Run is a simple single-cloud service: it runs your containers on Google Cloud, deeply integrated with the rest of GCP, and it only runs there. Its simplicity is its appeal and also its ceiling. Control Plane is a full multi-cloud runtime. It adds the networking, security, identity, stateful and VM workloads, placement control, and right-sizing production apps need, with one set of compliance controls kept consistent across every cloud. It runs that same serverless-style container across any mix of clouds and on-prem, on managed infrastructure by default or in your own accounts. The question is whether Cloud Run's feature set is enough for your app, and whether you want it on one cloud or many. ## The core difference: simple single-cloud serverless vs a multi-cloud runtime Cloud Run's model is deliberately narrow: you hand it a container image, it runs it, scales it from zero to many and back, and bills you for requests. It is tightly wired into Google Cloud: IAM service accounts, VPC connectors, Cloud Build, Artifact Registry, Pub/Sub, and the rest. That integration is exactly why it is so simple, and it is also why it only runs on Google Cloud. Control Plane applies the same serverless container model but with a full multi-cloud runtime around it. By default it runs your workloads on hardened, managed infrastructure. Optionally it runs them across any mix of substrates you define, from an AWS region to a GCP project, an Azure subscription, a Kubernetes cluster, or an on-prem server, all as one layer, with identity, networking, security, placement, and scaling handled uniformly. It runs five workload types, serverless, standard, stateful, cron, and VM, plus Sandboxes for AI agents and untrusted code, with policy-based placement, right-sizing, and compliance controls kept consistent across all of them. The container you would ship to Cloud Run runs unchanged, with scale-to-zero, in any of those places. It runs on Kubernetes without asking you to operate a cluster: teams never have to run one, but can bring their existing clusters with Bring Your Own Kubernetes (BYOK) or have Control Plane operate fully managed clusters with Managed Kubernetes (MK8s). ## Why teams look past Cloud Run in 2026 Teams look past Cloud Run for two reasons, and only one is about multi-cloud. The first is adaptability. Cloud Run is deliberately simple, and production apps outgrow it: they need richer networking and security, fine-grained identity, stateful or VM workloads alongside serverless ones, control over placement, and right-sizing. That gap, along with the day-two operations of running real production apps, shows up whether you run on one cloud or several. The second is reach. Cloud Run only runs on Google Cloud. Several things push teams to look elsewhere: an existing footprint on AWS or Azure, an acquisition or customer requirement that forces a second cloud, a data-residency or resilience mandate that spans providers, or a decision not to be locked to a single cloud's control plane. Once workloads must run in more than one cloud, a GCP-only serverless platform means running a second, different platform everywhere else and stitching identity, networking, and deployment across the seam. This is not about leaving Google Cloud. Control Plane can run in your GCP account too, so you keep your Google spend, commitments, and native services. It is about getting a full multi-cloud runtime, and making GCP one option among several rather than the only option, with one identity and one deployment surface across everything. ## Which one should you pick? ### Choose Control Plane if... - You need more than simple serverless: richer networking, security, identity, stateful or VM workloads, placement control, or right-sizing, even on a single cloud. - You run, or expect to run, on more than one cloud and want one layer across AWS, GCP, Azure, and on-prem. - You want the same scale-to-zero serverless containers everywhere, not a different platform per cloud. - You want to avoid single-cloud lock-in, with the option to deploy into your own accounts, including your GCP account. - You want credential-free access to native services across clouds through one identity model. ### Where Cloud Run differs - It runs only on Google Cloud, with native integration to Google IAM and services. - It builds from source or a container image with gcloud (Control Plane also offers git-driven buildpack builds and per-PR preview environments). - It runs primarily stateless serverless containers, without a full VM, stateful, or cron workload type. These are single-cloud characteristics. Control Plane runs the same scale-to-zero containers across AWS, GCP, Azure, and on-prem, including in your own GCP account, and adds VMs, stateful and cron workloads, Sandboxes for AI agents and untrusted code, right-sizing, and compliance controls kept consistent across all of them. ## Control Plane vs Cloud Run, side by side | Dimension | Control Plane | Google Cloud Run | | --- | --- | --- | | Where your app runs | Managed clusters in Control Plane's cloud accounts by default, or your own accounts / on-prem (AWS, GCP, Azure) | Google Cloud's infrastructure | | What you operate | Nothing on managed compute; no cluster required, with optional MK8s or BYOK | Nothing, fully managed | | Deploy model | Git-driven builds with buildpacks and per-PR preview environments, or prebuilt containers via CLI, Terraform, Pulumi, API, and UI | gcloud deploy (source or container) | | Regions | Runs natively on AWS, GCP, and Azure across their regions, plus your own accounts and on-prem via BYOK | 39 Google Cloud regions | | Multi-cloud plus on-prem | Yes, one layer across clouds and on-prem | Google Cloud only | | Scaling | Horizontal and concurrency-based autoscaling | Automatic, rapid, concurrency-based | | Scale-to-zero and right-sizing | Scale-to-zero plus Capacity AI right-sizing | Scale-to-zero (native); no automatic right-sizing | | Pricing model | Consumption by the milli-core on managed compute, or your node cost with BYOK; no per-seat fees | Pay-per-use (requests + CPU/memory), billed to the 100ms; free tier | | Workload types | Serverless, standard, stateful, cron, and VM, plus Sandboxes for AI agents and untrusted code | Services, jobs, functions, and worker pools; primarily stateless (volume mounts and GPUs available) | | Databases | Managed databases including CockroachDB, Postgres, Redis, MySQL, Cassandra, and Kafka | None native; integrates with Cloud SQL, Firestore, Memorystore | | Networking | One network model across clouds, deny-by-default firewalls, mTLS between workloads | Direct VPC egress (GA) or VPC connectors, Cloud Load Balancing, TLS | | Secrets management | Built-in secrets, encrypted, injected at runtime | Secret Manager integration | | Access control (RBAC) | Policy-based RBAC plus Universal Cloud Identity for credential-free cross-cloud access | Google Cloud IAM | | Observability | Built-in logs and metrics aggregated across clouds and regions | Cloud Monitoring and Logging | | Compliance | PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR | PCI DSS, HIPAA BAA, SOC 2, and further certifications (via Google Cloud) | | Lock-in and exit | Standard containers, portable across clouds, no single-vendor lock-in | Google Cloud | | Best for | Multi-cloud, VMs and stateful workloads, avoiding single-cloud lock-in | Simple, stateless services all-in on Google Cloud | ## Which fits your scenario **Control Plane fits: a team whose production app has outgrown simple serverless and also needs to run beyond one cloud.** The app needs more than Cloud Run's feature set covers: custom networking, fine-grained identity, stateful services and the occasional VM alongside its serverless containers, and formal compliance. On top of that a new enterprise customer or acquisition pushes it onto GCP and Azure. Rather than standing up Cloud Run in GCP, a separate serverless layer in each other cloud, and stitching identity and networking across the seams, the team runs the same standard containers, plus stateful, cron, and VM workloads and Sandboxes for AI agents and untrusted code, across AWS, GCP, Azure, and on-prem. Everything runs under one identity and network model, with scale-to-zero everywhere and no cluster required. [Universal Cloud Identity](https://docs.controlplane.com/reference/identity) lets a workload in one cloud reach native services in another, such as S3, DynamoDB, or BigQuery, with a real role and no long-lived keys. A GCP-only platform cannot do that across providers. **What Cloud Run is.** Cloud Run is a single-cloud serverless service for teams all-in on Google Cloud: hand it an image and it runs the service, wired directly into GCP IAM and services. Control Plane runs that same scale-to-zero container model in your own GCP account, and adds VMs, stateful and cron workloads, one identity model across clouds, and the option to run on AWS, Azure, and on-prem too, so GCP stays in the mix as one option rather than the only one. **Why teams consolidate on Control Plane.** The moment an app needs more than stateless serverless, whether that is richer networking, stateful or VM workloads, or right-sizing, or has to run in more than one cloud, a GCP-only serverless service stops being enough. Control Plane runs the same scale-to-zero containers in your GCP account and everywhere else, and adds full VMs, stateful and cron workloads, Sandboxes for AI agents and untrusted code, one identity and network model across every cloud, and compliance controls kept consistent across all of them, so you keep GCP in the mix without ending up running a second platform per cloud. > "Control Plane has really, really simplified how we manage our infrastructure. It allows us to move faster and focus on what matters for our customers." Cam Long, Co-Founder, Jora AI~60% lower cloud bill ## Frequently asked questions - Is Control Plane a replacement for Google Cloud Run? Often yes, for two reasons. First, Cloud Run is simple but limited. Control Plane is a full multi-cloud runtime that adds the networking, security, identity, stateful and VM workloads, placement control, and right-sizing production apps often need, which matters even if you stay on one cloud. Second, Control Plane runs the same scale-to-zero container model across AWS, GCP, Azure, and on-prem, on its managed infrastructure by default or in your own accounts, so you are not locked to only GCP. This is not about leaving Google Cloud; Control Plane runs in your Google Cloud account too. - Does Control Plane scale to zero like Cloud Run? Yes. Serverless workloads on Control Plane scale to zero when idle and back up on demand. Standard and stateful workloads can also scale on custom signals through KEDA. The difference from Cloud Run is that scale-to-zero works everywhere Control Plane runs, not just on Google Cloud. - Can Control Plane run in my own Google Cloud account? Yes. By default Control Plane runs workloads on managed infrastructure, and as an option it runs them in your own cloud accounts, including your Google Cloud account, alongside AWS, Azure, and on-prem. When you use your own accounts you keep your GCP spend, discounts, and data residency; either way Control Plane adds one deployment surface, one identity model, and scale-to-zero across all of them so GCP is one option rather than the only option. - What is the difference between Cloud Run and Control Plane? Cloud Run is a simple single-cloud service: fully managed, scale-to-zero serverless containers that run on Google Cloud and integrate deeply with Google services, but with a limited feature set. Control Plane is a full multi-cloud runtime. It adds the networking, security, identity, stateful and VM workloads, placement control, and right-sizing production apps need. It runs the same serverless-style containers across any mix of clouds, regions, clusters, and on-prem, on managed infrastructure by default or in your own accounts, with credential-free access to native services in each cloud. - How does Control Plane handle identity across clouds compared to Cloud Run? Cloud Run uses Google Cloud service accounts to reach Google services. Control Plane adds Universal Cloud Identity, which gives a workload credential-free access to native services across clouds using temporary session credentials. A workload running on one cloud can call another cloud's service, such as S3, DynamoDB, BigQuery, or Entra ID, with a real role and no long-lived keys to manage. ## Outgrowing Cloud Run? Get a full multi-cloud runtime with the networking, security, identity, stateful and VM workloads, placement control, and right-sizing production apps need. It runs the same scale-to-zero containers across AWS, GCP, Azure, and on-prem, on managed infrastructure or in your own accounts, with credential-free access to native services in each provider and no cluster required. Google Cloud stays in the mix. Test it on one real workload and see. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) 99.999% uptime SLA · SOC 2 Type II · PCI DSS Level 1 --- # Control Plane vs Render: Single-Vendor PaaS vs Multi-Cloud Enterprise Platform (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-render [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Render Comparison # Control Plane vs Render 6 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated September 17, 2026First published July 9, 2026 ## Summary **Control Plane** runs your containers and virtual machines across managed infrastructure, your own cloud accounts, or on-prem, on one cloud or several, as a single virtual cloud, with no Kubernetes cluster you have to operate. It runs serverless, standard, stateful, cron, and VM workloads, plus Sandboxes for AI agents and untrusted code, and adds built-in CI/CD, scale-to-zero, automatic right-sizing, and platform-level PCI DSS Level 1, SOC 2 Type II, HIPAA, and GDPR compliance for regulated workloads. Render is a narrower tool: a single-vendor git-push PaaS that hosts your app on its own infrastructure. Both let you ship a container without operating servers, but if you need compliance, VMs, control over where workloads run, or true multi-cloud, Control Plane is the platform that covers it where a single-vendor PaaS stops. | At a glance | Control Plane | Render | | --- | --- | --- | | Runs across clouds | ●●●●● | ●●●●● | | Can run in your account | ✓ Yes | ✗ No | | Scale-to-zero | ✓ Yes + right-sizing | Free tier only | | Cost model | By the milli-core; no seat fees | Instance tiers, always-on | | Workload types | Serverless, standard, stateful, cron, and VM, plus Sandboxes and GPUs | Web, static sites, private services, workers, cron | | Compliance built in | PCI DSS L1, SOC 2, HIPAA, GDPR | SOC 2, HIPAA, ISO 27001 | Render and Control Plane both let you ship a container without babysitting servers, but they answer a different question about where that container lives. Render is a managed, single-vendor developer PaaS: you push to git, Render builds and runs your app on its own infrastructure. Control Plane is a cloud virtualization platform. It turns any mix of clouds, regions, Kubernetes clusters, and on-prem servers into one virtual cloud you deploy to as a single surface. Your containers run on managed infrastructure by default, in your own cloud accounts, or on-prem, with no cluster you have to operate. ## The core difference: a single-vendor managed PaaS vs an enterprise multi-cloud platform Render is a single-vendor platform. You connect a git repository, Render detects the app, builds it, and runs it as a web service, background worker, or cron job on infrastructure Render owns and operates. There is nothing to provision, and there is also no way to place a workload in your own cloud account, region, or on-prem: it runs on Render's infrastructure or not at all. Control Plane starts from a different premise. It runs your standard containers on hardened, managed Kubernetes clusters in the regions you choose. Those clusters run in Control Plane's own cloud accounts by default; you can also use your own AWS, GCP, or Azure accounts, or on-prem, as one layer. It is built on Kubernetes, and you never have to touch a cluster, patch a node, or write a manifest, though you can run clusters when you want them through Managed Kubernetes (MK8s), where Control Plane operates the cluster for you, or Bring Your Own Kubernetes (BYOK), where you connect clusters you already run. You work with an Org, a Global Virtual Cloud, and Workloads. Control Plane handles identity, networking, security, and scaling uniformly across whatever infrastructure you plug in, so you get the operational ease of a managed platform with control over where each workload runs. Deploys go through the console UI, CLI, Terraform, Pulumi, or the API, with git-driven builds straight from a GitHub or GitLab repo, buildpacks, built-in CI/CD, managed databases, and per-PR preview environments, and stay portable across clouds. ## Why teams look past Render in 2026 Teams that start on Render usually hit one of five walls. Cost at scale, as always-on managed instances add up and the bill grows faster than the workload. Ownership and data residency, when an app must run in a specific cloud account or region rather than the vendor's infrastructure. Multi-cloud, when a single-vendor platform cannot span the clouds the business already uses. Compliance, when workloads need PCI DSS Level 1, which Render does not hold, or a compliance posture tied to infrastructure and regions you control rather than the vendor's. And simply outgrowing a single-vendor PaaS, when the platform's ceiling starts shaping architecture decisions. For workloads that need enterprise-grade functionality, control over where they run, VMs alongside containers, or portability across clouds, Control Plane covers what a single-vendor PaaS cannot. ## Which one should you pick? ### Choose Control Plane if... - You want control over where your containers run, on Control Plane's managed infrastructure or your own cloud accounts, on one cloud or several. - You need data residency, a specific region, or a specific account, not the vendor's infrastructure. - You want no Kubernetes cluster you have to operate, with Managed Kubernetes or your own clusters available if you want them, plus scale-to-zero and automatic right-sizing to control cost. - You have regulated workloads that need PCI DSS Level 1, which Render does not hold, or a compliance posture tied to infrastructure and regions you control. - You are outgrowing a single-vendor PaaS and want to span more than one cloud under one layer. ### Where Render differs - It is a single-vendor PaaS that runs your app only on Render's own infrastructure. - It builds from source on a git push, with no option for your own cloud accounts or on-prem. - It offers no full virtual-machine workload type and no platform-level PCI DSS Level 1. Control Plane covers the same push-to-deploy workflow with built-in CI/CD, and adds the option to run in your own cloud accounts or on-prem, VMs alongside containers, PCI DSS Level 1, true scale-to-zero, and automatic right-sizing. ## When a region, a cloud, or an account goes down Every platform has outages, and so do the clouds underneath all of us. On Control Plane, a workload runs in every location of its Global Virtual Cloud (GVC) at the same time, across AWS, GCP, and Azure regions and your own clusters. Traffic goes to the nearest healthy location using latency-based DNS geo-routing. When a location stops passing health checks, it drops out of routing and the others keep serving. One workload on three clouds. The AWS location fails its health checks, leaves routing, and GCP and Azure keep serving. ### A region fails The GVC routes around it. Users who were reaching that region land on the next-nearest healthy location. If you want a specific backup instead of the closest one, priority tiers send traffic to the location you chose. ### A cloud provider fails With locations on more than one provider, a provider-wide outage takes out only that provider's locations. Your GCP and Azure locations keep serving the same workload behind the same endpoint while AWS recovers. ### A cloud account fails Locations can run in Control Plane's cloud accounts or in your own accounts and clusters (BYOK). Spread a GVC across more than one account, and an account that is suspended or misconfigured becomes one more location for the GVC to route around. Two conditions apply. Failover needs at least two replicas in at least two locations, which is also the condition on our 99.999% SLA. And data does not move by itself: each replica gets its own volume, so a database that has to survive the loss of a location needs replication at the application level, such as Postgres WAL streaming between locations. ### Render's public incident reports - [How Render Services Stayed Up During the AWS October Outage](https://render.com/blog/how-render-services-stayed-up-during-the-aws-october-outage) (October 20, 2025) - [An upstream provider major incident is affecting some Render services](https://status.render.com/incidents/20fstv9p6qwv) (November 18, 2025) ## Control Plane vs Render, side by side 58 capabilities, scored from each vendor's public documentation with the same rules applied to both columns. Hover a capability for what it measures, or a verdict for the reason behind it. | Capability | Control Plane | Render | | --- | --- | --- | | Workload placement & topology | | | | Can one logical environment span two different cloud providers at once? | YYes | NNo | | Number of publicly published regions or locations | YYes | YYes | | Can you attach your own Kubernetes cluster as a managed target? | YYes | NNo | | Automatic failover of a running workload to another location | YYes | NNo | | Fine-grained traffic steering across locations (priority, latency bias) | YYes | NNo | | Getting to first deploy | | | | Git push to a branch triggers build and deploy with no external CI | YYes | YYes | | Built-in image builder (no Dockerfile required) | YYes | YYes | | Named framework guides (Next.js, Django, Rails, Laravel…) | PPartial | YYes | | One-click template or app catalog | YYes | YYes | | Documented free tier | YYes | YYes | | Local development story (emulator, local run, tunnel) | PPartial | NNo | | Migration in | | | | Import from an existing platform (Heroku, compose, Kubernetes manifests) | YYes | PPartial | | Scaling & efficiency | | | | Metric-driven horizontal autoscaling | YYes | PPartial | | Automatic vertical resizing of a running workload | YYes | NNo | | Scale to zero with automatic wake | YYes | PPartial | | Published cold-start or wake latency figures | NNo | YYes | | Spot or preemptible instance support | PPartial | NNo | | Networking & edge | | | | First-party CDN or edge caching | NNo | YYes | | First-party managed WAF | NNo | NNo | | Egress control: restrict which destinations a workload may reach | YYes | NNo | | Private connectivity into a customer VPC or on-prem network | YYes | PPartial | | Encrypted service-to-service networking as a platform default | YYes | PPartial | | Application-layer request authentication at the edge | YYes | NNo | | Static IP addresses for inbound or outbound traffic | YYes | YYes | | Storage & data services | | | | Managed relational or key-value databases as a first-party product | YYes | YYes | | Persistent volumes attachable to a scaled-out workload | YYes | NNo | | Automatic volume growth before capacity is exhausted | YYes | NNo | | Backup and restore with scheduled retention | PPartial | YYes | | Static site hosting as a first-class product | NNo | YYes | | First-class background jobs, queues and cron | PPartial | YYes | | Identity & secrets | | | | How a workload authenticates to external cloud services | YYes | PPartial | | Secrets management with access control on retrieval | YYes | PPartial | | Role-based access control granularity | YYes | PPartial | | Audit trail of platform changes | YYes | PPartial | | Third-party compliance certifications | YYes | YYes | | Multi-tenancy for the customer's own end customers | PPartial | NNo | | Operations & observability | | | | Metrics with a queryable interface | YYes | PPartial | | Distributed tracing | YYes | NNo | | Managed log export to third-party destinations | YYes | YYes | | Default log retention | YYes | PPartial | | Built-in alerting with notification channels | YYes | PPartial | | Shell, file copy and port-forward into a running workload | YYes | PPartial | | Progressive delivery: weighted traffic between versions | YYes | NNo | | Ephemeral preview environment per pull request | YYes | YYes | | Automation & extensibility | | | | First-party infrastructure-as-code provider (Terraform or equivalent) | YYes | YYes | | Complete public API reference | YYes | YYes | | MCP server for AI-agent operation of the platform | YYes | PPartial | | Machine-readable documentation (llms.txt, per-page markdown) | YYes | YYes | | Ephemeral sandboxes for running untrusted or AI-generated code | YYes | NNo | | Core product available as open source | NNo | NNo | | Specialized compute | | | | Run full virtual machines, not just containers | YYes | NNo | | Run GPU workloads alongside standard services | YYes | NNo | | Commercial terms | | | | Published compute and memory unit prices | NNo | PPartial | | Published uptime SLA with a number | YYes | NNo | | Documented path to migrate off the platform | PPartial | NNo | | Public community channel | PPartial | YYes | | Named reference customers published | PPartial | YYes | | Vendor continuity risk signals | PPartial | YYes | Scored from public documentation as of September 2026. “No” means not documented, not necessarily absent; breadth is not a quality ranking, and specialists doing one thing well score narrow by design. ## Which fits your scenario **Control Plane fits: a company running the same containers across AWS and GCP that must keep regulated data in its own accounts.** Render runs everything on its own infrastructure, so it cannot place workloads in the specific accounts and regions a PCI DSS Level 1 audit needs, and it does not span both clouds the business already uses. Control Plane runs those containers across AWS, GCP, Azure, and on-prem, under one identity and network model, with no cluster you have to operate. Each service reaches native cloud resources like S3 or BigQuery credential-free through [Universal Cloud Identity](https://docs.controlplane.com/reference/identity). **What Render is.** Render is a single-vendor PaaS: connect a git repository and it builds from source and runs a web service, worker, or cron job on its own infrastructure. Its appeal is that simplicity, but Control Plane matches it without the trade-offs. Control Plane is free to start with no cloud account, deploys straight from a GitHub or GitLab repo with buildpacks, and a typical workload runs under $5 per month per location with serverless scale-to-zero when idle. So even for a small app, Control Plane is the cheaper choice, and it adds VMs, multi-cloud, and PCI DSS Level 1 the moment you need them, without ever switching platforms. **Why teams consolidate on Control Plane.** The moment regulated data, virtual machines, your own cloud accounts, or workloads spanning more than one cloud enter the picture, a single-vendor PaaS stops being enough. Control Plane gives you the same git-push-style deploy pipeline and preview environments through built-in CI/CD, and adds platform-level compliance, full VMs, and one identity and network model across every cloud and on-prem, so you do not outgrow it and end up running two platforms. ## What the switch looks like Moving a Render app to Control Plane does not mean re-architecting it. You bring the same container image, or build straight from a GitHub or GitLab repo with buildpacks and no Dockerfile, and you can import an existing Docker Compose file with `cpln stack`. Managed data comes from an 87-template catalog, including Postgres (high-availability and multi-location), Redis, MySQL, MongoDB, Kafka, and ClickHouse, and workloads can also reach native cloud databases like Amazon RDS or Google Cloud SQL credential-free through Universal Cloud Identity. Per-PR Review Workloads give you preview environments, Capacity AI right-sizes CPU and memory in place, and serverless workloads scale to zero so idle previews cost nothing. NAT gateways, TLS certificates, DNS and global DNS, secrets management, the container registry, logs, metrics, the service mesh, autoscaling, and geo-routing are included at no extra charge rather than billed as add-ons. Teams that have moved off a single-vendor PaaS this way, such as Upsie, have cut hosting costs by roughly half. > "Control Plane has been a game-changer for our team, cutting our server costs by 90% and eliminating the time we spent on DevOps." Desean Prentice, Co-Founder & CTO, Qualifi90% lower server costs ## Frequently asked questions - Is Control Plane a Render alternative? Yes. Render is a managed platform that hosts your app on Render's own infrastructure with a git-push workflow. Control Plane is an enterprise platform that runs the same standard containers on its managed infrastructure by default, with the option to run in your own cloud accounts or on-prem (one cloud or several), plus no cluster you have to operate, scale-to-zero, and automatic right-sizing. Control Plane also builds straight from a GitHub or GitLab repo with buildpacks and provides per-PR preview workloads, so you keep a push-to-deploy pipeline while staying portable across clouds. - Does Control Plane support git-push deploys like Render? Control Plane deploys standard container images through the CLI, Terraform or Pulumi, the API, and the UI, and has built-in CI/CD, so a push can build and deploy without a separate service. Render builds from source on a git push. On Control Plane you bring a built container image, or use its CI/CD, and Control Plane runs it on managed infrastructure or, if you choose, in your own cloud accounts or on-prem. Teams wire their existing pipeline, or Control Plane's built-in CI/CD, into the same push-to-deploy flow without giving up multi-cloud, VMs, or compliance. - Where does my app run on Control Plane versus Render? On Render your app runs on Render's own infrastructure, which the platform owns and operates. On Control Plane your app runs on Control Plane's managed infrastructure by default, in the regions you choose, with the option to run inside your own cloud accounts on AWS, GCP, Azure, or on-prem. Control Plane is a cloud virtualization layer that combines its managed infrastructure with your own cloud accounts and on-prem into one virtual cloud you deploy to as a single surface, with no Kubernetes cluster you have to operate. - Why do teams look past Render? The common reasons are cost at scale, ownership and data residency, multi-cloud needs, compliance, and simply outgrowing a single-vendor platform. When your app must run in a specific cloud account or region, meet PCI DSS Level 1 requirements, span more than one cloud, or when the bill for always-on managed instances climbs, teams look for a platform with more control over where their containers run and no single-vendor lock-in. - Do I have to manage Kubernetes to use Control Plane? No. Control Plane is built on Kubernetes, and you never have to operate a cluster, patch nodes, or write manifests. You work at the level of an Org, a Global Virtual Cloud, and Workloads. If you do want clusters, you can run Managed Kubernetes (MK8s), where Control Plane operates the cluster for you, or Bring Your Own Kubernetes (BYOK), where you connect clusters you already run. Either way you get the low operational overhead of a managed platform like Render, with control over where workloads run, on Control Plane's managed infrastructure or your own cloud accounts. ## Outgrowing a single-vendor PaaS? Run the same standard containers across AWS, GCP, Azure, and on-prem as one virtual cloud, with control over where they run, no cluster you have to operate, scale-to-zero, and automatic right-sizing. Test it on one real workload and see. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) 99.999% uptime SLA · SOC 2 Type II · PCI DSS Level 1 --- # Control Plane vs Railway: Enterprise Platform vs Managed PaaS (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-railway [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Railway Comparison # Control Plane vs Railway 6 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated September 8, 2026First published July 9, 2026 ## Summary **Control Plane** runs your containers on managed clusters, in Control Plane's cloud accounts or your own, on one cloud or several, with no cluster to operate. It builds from Git with buildpacks and per-PR preview environments for push-to-deploy delivery, and adds scale-to-zero, automatic right-sizing, full VMs, Sandboxes for AI agents and untrusted code, and platform-level PCI DSS Level 1 for regulated workloads. Railway is a single-vendor push-to-deploy PaaS that hosts your app on its own infrastructure. Both get a container into production, but if you need control over where workloads run, more than one cloud or on-prem, VMs, or PCI DSS Level 1, Control Plane is the layer that covers it, where a single-vendor PaaS stops at one vendor's infrastructure. Control Plane runs workloads active-active across regions and clouds, backed by a 99.999% uptime SLA. | At a glance | Control Plane | Railway | | --- | --- | --- | | Runs across clouds | ●●●●● | ●●●●● | | Where workloads run | Managed clusters, your accounts, or on-prem | Railway's infrastructure only | | Scale-to-zero | ✓ Yes | Serverless sleep (holds a slot) | | Cost model | Consumption, milli-core billing | Usage on Railway | | Workload types | Serverless, standard, stateful, cron, VM, plus Sandboxes | Services, cron jobs, functions, databases | | Compliance built in | ✓ PCI L1, SOC 2, HIPAA | SOC 2, HIPAA BAA | These two products solve the same job (get my container running in production without babysitting servers) from opposite ends. Railway is a managed developer PaaS you rent: you push code, Railway builds and hosts it on Railway's infrastructure, and you pay for what you use. Control Plane is a cloud virtualization platform. It runs the same standard containers on hardened, managed clusters, presenting any mix of clouds, regions, and on-prem as one virtual cloud you deploy to as a single surface. Those clusters run in Control Plane's cloud accounts by default, or in your own AWS, GCP, Azure, and on-prem accounts, with no cluster to operate. Railway runs your app on a single vendor's platform. Control Plane runs across multiple clouds and your own accounts, with control over where every workload runs and platform-level PCI DSS Level 1, without having to run the infrastructure yourself. ## The core difference: a single-vendor PaaS vs an enterprise platform across clouds Railway is built around one workflow: connect a repository, push, and it builds and deploys your service, wires up integrated managed databases, and bills per usage. There is nothing to operate because there is nothing that is yours to operate: the platform and the underlying infrastructure are both Railway's, and the workload cannot leave them. That is the workflow Railway provides for a solo developer or a small team shipping a straightforward app to one vendor. Control Plane sits one level up. It runs your standard containers on hardened, managed clusters, in the regions you choose. Those clusters run in Control Plane's own cloud accounts by default, or across your AWS, GCP, Azure, and on-prem accounts. Control Plane presents all of it as one virtual cloud you deploy to as a single surface. It is built on Kubernetes, so you can run Managed Kubernetes (MK8s) or Bring Your Own Kubernetes (BYOK) when you want direct cluster access, and let Control Plane operate the cluster for you when you do not. You get scale-to-zero, Capacity AI that continuously right-sizes CPU and memory, credential-free access to native cloud services, and deny-by-default security, all with control over where each workload runs. Deploys go through git-driven builds and buildpacks, or the CLI, API, and infrastructure-as-code, which fits CI/CD pipelines and keeps them portable across clouds. ## Why teams look past Railway Teams outgrow Railway for specific reasons. The first is cost: usage-based pricing is friendly at small scale but climbs as traffic grows. Past a certain point, managed clusters with scale-to-zero and right-sizing, on Control Plane's compute or your own accounts, cost less. The second is control and data residency: regulated or data-sensitive teams need to control where the workload runs and in which regions, and some need it in their own accounts. The third is multi-cloud and on-prem: Railway is single-vendor, so if you need more than one cloud or a private datacenter, a single-vendor PaaS cannot get you there. The fourth is compliance: workloads that require PCI DSS Level 1 need controls Railway does not carry. The fifth is simply outgrowing a single-vendor PaaS as your team, traffic, and workload types expand. These are the moments where control over your infrastructure and portability start to matter more than single-vendor convenience, which is exactly what Control Plane is built for. ## Which one should you pick? ### Choose Control Plane if... - You want an enterprise platform with control over where workloads run: Control Plane's managed compute, your own cloud accounts, or on-prem. - You need more than one cloud, or cloud plus on-prem, under one layer. - You have compliance or data-residency requirements like PCI DSS Level 1 or GDPR. - You want scale-to-zero and automatic right-sizing to control cost as you scale. - You want no Kubernetes cluster to operate and more workload types than a PaaS offers. ### Where Railway differs - Your app runs only on Railway's own infrastructure, not in your cloud accounts or on-prem. - It is a single, opinionated self-serve product built around a fast, UI-driven workflow. - It runs in a small number of Railway regions. Control Plane gives you the same git-driven builds, buildpacks, per-PR previews, and managed databases, and runs them across your own cloud accounts, multiple clouds, and on-prem, without giving up control over where workloads run or PCI DSS Level 1. ## When a region, a cloud, or an account goes down Every platform has outages, and so do the clouds underneath all of us. On Control Plane, a workload runs in every location of its Global Virtual Cloud (GVC) at the same time, across AWS, GCP, and Azure regions and your own clusters. Traffic goes to the nearest healthy location using latency-based DNS geo-routing. When a location stops passing health checks, it drops out of routing and the others keep serving. One workload on three clouds. The AWS location fails its health checks, leaves routing, and GCP and Azure keep serving. ### A region fails The GVC routes around it. Users who were reaching that region land on the next-nearest healthy location. If you want a specific backup instead of the closest one, priority tiers send traffic to the location you chose. ### A cloud provider fails With locations on more than one provider, a provider-wide outage takes out only that provider's locations. Your GCP and Azure locations keep serving the same workload behind the same endpoint while AWS recovers. ### A cloud account fails Locations can run in Control Plane's cloud accounts or in your own accounts and clusters (BYOK). Spread a GVC across more than one account, and an account that is suspended or misconfigured becomes one more location for the GVC to route around. Two conditions apply. Failover needs at least two replicas in at least two locations, which is also the condition on our 99.999% SLA. And data does not move by itself: each replica gets its own volume, so a database that has to survive the loss of a location needs replication at the application level, such as Postgres WAL streaming between locations. ### Railway's public incident reports - [Incident Report: May 19, 2026- GCP Account Suspension](https://blog.railway.com/p/incident-report-may-19-2026-gcp-account-outage) (May 19, 2026) ## Control Plane vs Railway, side by side 58 capabilities, scored from each vendor's public documentation with the same rules applied to both columns. Hover a capability for what it measures, or a verdict for the reason behind it. | Capability | Control Plane | Railway | | --- | --- | --- | | Workload placement & topology | | | | Can one logical environment span two different cloud providers at once? | YYes | NNo | | Number of publicly published regions or locations | YYes | YYes | | Can you attach your own Kubernetes cluster as a managed target? | YYes | NNo | | Automatic failover of a running workload to another location | YYes | PPartial | | Fine-grained traffic steering across locations (priority, latency bias) | YYes | NNo | | Getting to first deploy | | | | Git push to a branch triggers build and deploy with no external CI | YYes | YYes | | Built-in image builder (no Dockerfile required) | YYes | YYes | | Named framework guides (Next.js, Django, Rails, Laravel…) | PPartial | YYes | | One-click template or app catalog | YYes | YYes | | Documented free tier | YYes | PPartial | | Local development story (emulator, local run, tunnel) | PPartial | YYes | | Migration in | | | | Import from an existing platform (Heroku, compose, Kubernetes manifests) | YYes | YYes | | Scaling & efficiency | | | | Metric-driven horizontal autoscaling | YYes | NNo | | Automatic vertical resizing of a running workload | YYes | YYes | | Scale to zero with automatic wake | YYes | PPartial | | Published cold-start or wake latency figures | NNo | NNo | | Spot or preemptible instance support | PPartial | NNo | | Networking & edge | | | | First-party CDN or edge caching | NNo | YYes | | First-party managed WAF | NNo | PPartial | | Egress control: restrict which destinations a workload may reach | YYes | NNo | | Private connectivity into a customer VPC or on-prem network | YYes | NNo | | Encrypted service-to-service networking as a platform default | YYes | YYes | | Application-layer request authentication at the edge | YYes | NNo | | Static IP addresses for inbound or outbound traffic | YYes | YYes | | Storage & data services | | | | Managed relational or key-value databases as a first-party product | YYes | YYes | | Persistent volumes attachable to a scaled-out workload | YYes | PPartial | | Automatic volume growth before capacity is exhausted | YYes | PPartial | | Backup and restore with scheduled retention | PPartial | YYes | | Static site hosting as a first-class product | NNo | PPartial | | First-class background jobs, queues and cron | PPartial | YYes | | Identity & secrets | | | | How a workload authenticates to external cloud services | YYes | NNo | | Secrets management with access control on retrieval | YYes | PPartial | | Role-based access control granularity | YYes | PPartial | | Audit trail of platform changes | YYes | PPartial | | Third-party compliance certifications | YYes | YYes | | Multi-tenancy for the customer's own end customers | PPartial | NNo | | Operations & observability | | | | Metrics with a queryable interface | YYes | PPartial | | Distributed tracing | YYes | NNo | | Managed log export to third-party destinations | YYes | NNo | | Default log retention | YYes | PPartial | | Built-in alerting with notification channels | YYes | PPartial | | Shell, file copy and port-forward into a running workload | YYes | PPartial | | Progressive delivery: weighted traffic between versions | YYes | NNo | | Ephemeral preview environment per pull request | YYes | YYes | | Automation & extensibility | | | | First-party infrastructure-as-code provider (Terraform or equivalent) | YYes | NNo | | Complete public API reference | YYes | YYes | | MCP server for AI-agent operation of the platform | YYes | PPartial | | Machine-readable documentation (llms.txt, per-page markdown) | YYes | YYes | | Ephemeral sandboxes for running untrusted or AI-generated code | YYes | YYes | | Core product available as open source | NNo | PPartial | | Specialized compute | | | | Run full virtual machines, not just containers | YYes | PPartial | | Run GPU workloads alongside standard services | YYes | NNo | | Commercial terms | | | | Published compute and memory unit prices | NNo | YYes | | Published uptime SLA with a number | YYes | NNo | | Documented path to migrate off the platform | PPartial | NNo | | Public community channel | PPartial | YYes | | Named reference customers published | PPartial | YYes | | Vendor continuity risk signals | PPartial | YYes | Scored from public documentation as of September 2026. “No” means not documented, not necessarily absent; breadth is not a quality ranking, and specialists doing one thing well score narrow by design. ## Which fits your scenario **Control Plane fits: teams that need to own where their workloads run.** When production is ready to move into your own AWS and GCP accounts, keep a service or two on Azure, or add an on-prem datacenter, Control Plane runs the same standard containers across all of them under one identity and network model, with no cluster to operate. Railway is single-vendor and cannot span those accounts. Scale-to-zero and automatic right-sizing hold down cost as you grow, and platform-level compliance up to PCI DSS Level 1 comes with the platform instead of becoming a project of your own. Each service reaches native resources like S3 and BigQuery through [Universal Cloud Identity](https://docs.controlplane.com/reference/identity) without stored credentials. **What Railway is.** Railway is a single-vendor push-to-deploy PaaS: connect a Git repository and it builds, deploys, and hosts your service on Railway's own infrastructure, with integrated managed databases. Control Plane delivers push-to-deploy from Git with buildpacks and per-PR preview environments and its own managed databases too, and also runs across multiple clouds and on-prem in your own accounts, adds VMs, and carries PCI DSS Level 1, so you do not outgrow it as the workload and the team expand. **Why teams consolidate on Control Plane.** The moment regulated data, cost at scale, or workloads spanning more than one cloud or on-prem enter the picture, a single-vendor PaaS stops being enough. Control Plane gives you the deploy pipeline through your own CI/CD, managed databases of its own, and adds control over where every workload runs, platform-level compliance, and one identity and network model across every cloud, so you do not outgrow it and end up running two platforms. > "Control Plane accelerated our time-to-market by six months, giving us a competitive edge." David Chen, Principal Engineer, Allio Finance6 months faster to market ## Frequently asked questions - Is Control Plane a Railway replacement? Yes. Control Plane is an enterprise-grade platform that runs the same standard containers on managed clusters, on Control Plane's cloud accounts by default or in your own accounts or on-prem, with no cluster to operate, scale-to-zero, automatic right-sizing, and compliance. Railway hosts your app on Railway's own single-vendor infrastructure with a git-push workflow and integrated managed databases. Once you want control over where workloads run, portability across clouds, or platform-level compliance, Control Plane replaces Railway and gives you the same push-to-deploy pipeline through your own CI/CD. - Does Control Plane give me a git-push deploy like Railway? Yes. Control Plane builds directly from a connected GitHub or GitLab repository, with buildpacks and per-PR preview environments, for push-to-deploy delivery. It also deploys prebuilt containers and VMs through the CLI, Terraform, Pulumi, and API, so you are not tied to one vendor's build system, and deploys stay portable across clouds. Railway's push-to-deploy flow builds from a connected repository and ships to Railway's own infrastructure only. - Where does my app run on Control Plane vs Railway? On Railway, your app runs on Railway's infrastructure; Railway operates the platform and you rent capacity on it. On Control Plane, your app runs on hardened, managed Kubernetes clusters, in Control Plane's cloud accounts by default (you choose the regions), or optionally in your own AWS, GCP, Azure, or on-prem accounts. Either way Control Plane operates the platform layer so there is no Kubernetes cluster for you to run, and you control where the workload runs and its data residency. - Why do teams outgrow Railway? Usually one of five reasons: usage-based cost that climbs as traffic grows, wanting control over where workloads run and their data residency, needing more than one cloud or on-prem, compliance requirements like PCI DSS Level 1 or GDPR, or simply outgrowing a single-vendor PaaS as the team and workload types expand. Railway works well early on; scaling startups and enterprises reach a point where control over infrastructure and portability matter more than the convenience. - Can I run databases on Control Plane like Railway does? Yes. Control Plane offers many managed databases, including CockroachDB, Postgres, Redis, MySQL, Cassandra, and Kafka, that you provision from its catalog and run on its managed clusters or in your own accounts. It also connects to your existing cloud managed databases through Universal Cloud Identity. Railway offers integrated managed databases you provision in a click; Control Plane gives you a broader managed-database set plus control over where they run. ## Outgrowing Railway? Run the same standard containers on managed clusters, on Control Plane's compute or your own accounts across AWS, GCP, Azure, and on-prem, as one virtual cloud with no cluster to operate, plus scale-to-zero and automatic right-sizing. Teams typically cut cloud compute costs 30 to 50 percent after moving to Control Plane. Test it on one real workload and see. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) 99.999% uptime SLA · SOC 2 Type II · PCI DSS Level 1 --- # Control Plane vs Fly.io: Multi-Cloud Runtime vs Global Edge (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-fly-io [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Fly.io Comparison # Control Plane vs Fly.io 6 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated September 8, 2026First published July 9, 2026 ## Summary **Control Plane** runs the same containers and full VMs across the major clouds and on-prem as one virtual cloud, on managed infrastructure by default or in your own accounts, with control over where each workload runs, geo-intelligent routing to the nearest deployment, no cluster you have to operate, and scale-to-zero. It adds platform-level PCI DSS Level 1 for regulated workloads. Fly.io hosts your app as Fly Machines on its own global edge network. Both get a container running close to users, but if you need control over where workloads run, virtual machines, multi-cloud portability, or PCI DSS Level 1, Control Plane is the layer that covers it, where a single-vendor edge stops at its own network. | At a glance | Control Plane | Fly.io | | --- | --- | --- | | Where workloads run | Managed infra or your own accounts/on-prem | Fly's edge network only | | Runs across clouds | ●●●●● | ●●●●● | | Scale-to-zero | ✓ Yes | Auto-stop | | Cost model | Consumption-based | Usage on Fly | | Workload types | Containers, VMs, Sandboxes | Machines / apps | | Compliance built in | PCI L1, SOC 2, HIPAA | SOC 2, HIPAA | Both platforms take a standard container and get it running close to your users without you managing servers. They differ on functionality and portability. Control Plane is a multi-cloud runtime: it runs the same container on hardened, managed infrastructure by default, or in your own AWS, GCP, Azure, and on-prem accounts, stitched into one virtual cloud with geo-intelligent routing, full VMs, and platform-level compliance. You control where each workload runs and stay portable across the major clouds. Fly.io deploys your app as Fly Machines onto its own global edge network, tied to Fly's platform and region footprint. ## The core difference: a portable multi-cloud runtime vs a single-vendor edge Control Plane is a runtime that unifies clouds. By default it runs your standard containers on hardened, managed clusters in its own cloud accounts, in the regions you choose. It can also run them across any mix of clouds, regions, Kubernetes clusters, and on-prem servers in your own accounts, stitched into one virtual cloud, with placement, identity, networking, security, and scaling handled uniformly on top. Requests are steered by geo-intelligent DNS with health-based failover to the nearest healthy deployment, typically around 20 to 30 milliseconds away. You get edge-like proximity while keeping control over which cloud and region each workload runs in, plus full VMs and platform-level compliance. Fly.io works differently: you hand it a container, pick some regions, and it runs your app as Fly Machines on its own edge infrastructure, working at the machine level for each instance. The infrastructure is Fly's own, so workloads run on Fly's network rather than in your cloud accounts, and your global footprint is limited to Fly's region list. The question is whether you want an app tied to a single vendor's edge or a compliance-grade layer that unifies clouds, runs VMs, and lets you own where each workload runs. ## Why teams look past Fly.io The reasons teams weigh Control Plane against Fly.io come down to functionality, control, and portability. The first is control over where workloads run: teams that need data, compute, and spend to sit inside their own AWS, GCP, or Azure agreements, or in specific regions, cannot commit everything to a third party's edge. The second is data residency and compliance, where you must be able to say exactly which cloud and region a workload runs in, backed by controls like PCI DSS Level 1, SOC 2 Type II, HIPAA, and GDPR. The third is portability beyond a single provider's footprint: if your users or your regulators require specific regions across the major clouds, running across those clouds beats being limited to one network's edge locations. The fourth is scale and workload mix, when you need containers, VMs, cron, and stateful services, plus Sandboxes for AI agents and untrusted code, under one model. Fly.io hosts an app on its own edge; Control Plane covers those functionality, control, and portability requirements that a single-vendor edge does not. ## Which one should you pick? ### Choose Control Plane if... - You want control over where the app runs, on managed infrastructure or in your own AWS, GCP, Azure, and on-prem accounts. - You need data residency and compliance: PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR, with control over which cloud and region runs each workload. - You want global reach across the major clouds, with geo-routing to the nearest deployment around 20 to 30 milliseconds away. - You want no cluster or machines to operate by default, with the option to run Managed Kubernetes (MK8s) or Bring Your Own Kubernetes (BYOK) when you want a cluster, plus scale-to-zero and automatic right-sizing. - You run a mix of containers, VMs, cron, and stateful services, plus Sandboxes for AI agents and untrusted code, under one model. ### Where Fly.io differs - It hosts your app as Fly Machines on its own global edge network. - It works at the machine level, where you size and configure each instance. - Its footprint is Fly's own region list, not your cloud accounts. These are single-vendor edge characteristics. Control Plane gives you geo-routing to the nearest deployment across the major clouds and on-prem, without giving up control over placement, compliance, VMs, or multi-cloud portability. ## When a region, a cloud, or an account goes down Every platform has outages, and so do the clouds underneath all of us. On Control Plane, a workload runs in every location of its Global Virtual Cloud (GVC) at the same time, across AWS, GCP, and Azure regions and your own clusters. Traffic goes to the nearest healthy location using latency-based DNS geo-routing. When a location stops passing health checks, it drops out of routing and the others keep serving. One workload on three clouds. The AWS location fails its health checks, leaves routing, and GCP and Azure keep serving. ### A region fails The GVC routes around it. Users who were reaching that region land on the next-nearest healthy location. If you want a specific backup instead of the closest one, priority tiers send traffic to the location you chose. ### A cloud provider fails With locations on more than one provider, a provider-wide outage takes out only that provider's locations. Your GCP and Azure locations keep serving the same workload behind the same endpoint while AWS recovers. ### A cloud account fails Locations can run in Control Plane's cloud accounts or in your own accounts and clusters (BYOK). Spread a GVC across more than one account, and an account that is suspended or misconfigured becomes one more location for the GVC to route around. Two conditions apply. Failover needs at least two replicas in at least two locations, which is also the condition on our 99.999% SLA. And data does not move by itself: each replica gets its own volume, so a database that has to survive the loss of a location needs replication at the application level, such as Postgres WAL streaming between locations. ### Fly.io's public incident reports - [Infra Log, 2025-02-22 (IAD outage)](https://fly.io/infra-log/2025-02-22.md) (February 16, 2025) ## Control Plane vs Fly.io, side by side 58 capabilities, scored from each vendor's public documentation with the same rules applied to both columns. Hover a capability for what it measures, or a verdict for the reason behind it. | Capability | Control Plane | Fly.io | | --- | --- | --- | | Workload placement & topology | | | | Can one logical environment span two different cloud providers at once? | YYes | NNo | | Number of publicly published regions or locations | YYes | YYes | | Can you attach your own Kubernetes cluster as a managed target? | YYes | NNo | | Automatic failover of a running workload to another location | YYes | PPartial | | Fine-grained traffic steering across locations (priority, latency bias) | YYes | PPartial | | Getting to first deploy | | | | Git push to a branch triggers build and deploy with no external CI | YYes | NNo | | Built-in image builder (no Dockerfile required) | YYes | YYes | | Named framework guides (Next.js, Django, Rails, Laravel…) | PPartial | PPartial | | One-click template or app catalog | YYes | NNo | | Documented free tier | YYes | NNo | | Local development story (emulator, local run, tunnel) | PPartial | NNo | | Migration in | | | | Import from an existing platform (Heroku, compose, Kubernetes manifests) | YYes | PPartial | | Scaling & efficiency | | | | Metric-driven horizontal autoscaling | YYes | NNo | | Automatic vertical resizing of a running workload | YYes | PPartial | | Scale to zero with automatic wake | YYes | YYes | | Published cold-start or wake latency figures | NNo | YYes | | Spot or preemptible instance support | PPartial | NNo | | Networking & edge | | | | First-party CDN or edge caching | NNo | NNo | | First-party managed WAF | NNo | NNo | | Egress control: restrict which destinations a workload may reach | YYes | PPartial | | Private connectivity into a customer VPC or on-prem network | YYes | PPartial | | Encrypted service-to-service networking as a platform default | YYes | YYes | | Application-layer request authentication at the edge | YYes | NNo | | Static IP addresses for inbound or outbound traffic | YYes | YYes | | Storage & data services | | | | Managed relational or key-value databases as a first-party product | YYes | PPartial | | Persistent volumes attachable to a scaled-out workload | YYes | PPartial | | Automatic volume growth before capacity is exhausted | YYes | PPartial | | Backup and restore with scheduled retention | PPartial | YYes | | Static site hosting as a first-class product | NNo | NNo | | First-class background jobs, queues and cron | PPartial | NNo | | Identity & secrets | | | | How a workload authenticates to external cloud services | YYes | PPartial | | Secrets management with access control on retrieval | YYes | PPartial | | Role-based access control granularity | YYes | NNo | | Audit trail of platform changes | YYes | NNo | | Third-party compliance certifications | YYes | PPartial | | Multi-tenancy for the customer's own end customers | PPartial | YYes | | Operations & observability | | | | Metrics with a queryable interface | YYes | YYes | | Distributed tracing | YYes | NNo | | Managed log export to third-party destinations | YYes | NNo | | Default log retention | YYes | PPartial | | Built-in alerting with notification channels | YYes | NNo | | Shell, file copy and port-forward into a running workload | YYes | YYes | | Progressive delivery: weighted traffic between versions | YYes | PPartial | | Ephemeral preview environment per pull request | YYes | PPartial | | Automation & extensibility | | | | First-party infrastructure-as-code provider (Terraform or equivalent) | YYes | NNo | | Complete public API reference | YYes | YYes | | MCP server for AI-agent operation of the platform | YYes | PPartial | | Machine-readable documentation (llms.txt, per-page markdown) | YYes | YYes | | Ephemeral sandboxes for running untrusted or AI-generated code | YYes | YYes | | Core product available as open source | NNo | PPartial | | Specialized compute | | | | Run full virtual machines, not just containers | YYes | PPartial | | Run GPU workloads alongside standard services | YYes | NNo | | Commercial terms | | | | Published compute and memory unit prices | NNo | PPartial | | Published uptime SLA with a number | YYes | YYes | | Documented path to migrate off the platform | PPartial | NNo | | Public community channel | PPartial | YYes | | Named reference customers published | PPartial | YYes | | Vendor continuity risk signals | PPartial | NNo | Scored from public documentation as of September 2026. “No” means not documented, not necessarily absent; breadth is not a quality ranking, and specialists doing one thing well score narrow by design. ## Which fits your scenario **Control Plane fits: a company running in regulated AWS and Azure accounts that is expanding into new regions.** The same standard containers run across AWS, GCP, Azure, and on-prem in the company's own accounts under one identity and network model, with geo-routing to the nearest deployment and no cluster it has to operate. Fly.io would host that workload on its own edge instead of the company's regulated accounts, so data residency and cloud-agreement ownership become hard to guarantee. Control Plane also reaches native cloud services credential-free through [Universal Cloud Identity](https://docs.controlplane.com/reference/identity), so a workload in one cloud uses another cloud's services on temporary, least-privilege session credentials. **What Fly.io is.** Fly.io is a single-vendor edge platform: you hand it a container and it runs as Fly Machines on Fly's own global network, working at the machine level in Fly's regions. Control Plane delivers the same edge-like proximity through geo-intelligent routing to the nearest deployment, and also runs across AWS, GCP, Azure, and on-prem in your own accounts, adds full VMs, and carries PCI DSS Level 1, so you keep placement control and portability instead of committing everything to one network. **Why teams consolidate on Control Plane.** The moment regulated data, virtual machines, or workloads spanning more than one cloud and on-prem enter the picture, a single-vendor edge stops being enough. Control Plane gives you the same edge-like proximity through geo-routing to the nearest deployment, and adds control over which cloud and region each workload runs in, platform-level compliance, full VMs, and one identity and network model across every cloud, so you do not outgrow it and end up running two platforms. > "Before Control Plane, our releases were unpredictable, sometimes taking over an hour. Now, our deployments happen in a matter of minutes, drastically improving our engineering efficiency." Pete Torres, SVP of Engineering, Linker FinanceDeploys: hours to minutes ## Frequently asked questions - What is the difference between Control Plane and Fly.io? Fly.io hosts your app on its own global edge infrastructure, deploying containers as Fly Machines to Fly's regions with machine-level control. Control Plane is a multi-cloud runtime. By default it runs your standard containers on hardened, managed clusters in Control Plane's own cloud accounts, in the regions you choose. It can also run them in your own AWS, GCP, Azure, and on-prem accounts, all as one virtual cloud with geo-intelligent routing to the nearest deployment, no cluster you have to operate, scale-to-zero, and compliance. Short version: Fly.io ties you to its edge network; Control Plane gives you a portable multi-cloud runtime with control over where workloads run across the major clouds. - Does Control Plane run on my own cloud accounts? It can. By default Control Plane runs your workloads on hardened, managed clusters in its own cloud accounts, in the regions you pick. As an option, through BYOK or managed Kubernetes, it runs them inside your own AWS, GCP, Azure, and on-prem accounts, so data, compute, and spend stay under your ownership and cloud agreements. Fly.io runs your app on Fly's own edge infrastructure and does not offer that choice. - Can Control Plane route traffic globally like Fly.io? Yes. Control Plane uses geo-intelligent DNS with health-based failover to send each request to the nearest healthy deployment, typically around 20 to 30 milliseconds away. The difference is reach: instead of Fly's own edge regions, Control Plane routes across deployments you place in AWS, GCP, Azure, and on-prem regions, so your global footprint follows the major clouds rather than a single provider's network. - Do I have to operate Kubernetes or machines with Control Plane? You do not have to. Control Plane is built on Kubernetes, and by default you never touch it: there is no cluster, node pool, or machine to configure, because the platform places, scales, and heals each workload for you. If you do want a cluster, you can run one through Managed Kubernetes (MK8s), where Control Plane operates the cluster on your behalf, or Bring Your Own Kubernetes (BYOK), where it runs inside a cluster you already have. On Fly.io you work at the machine level, configuring and sizing Fly Machines, which is more to manage than Control Plane's default model. - Does Control Plane support scale-to-zero and right-sizing? Yes. Serverless workloads scale to zero when idle and back up on demand, and Standard and Stateful workloads can scale on demand through KEDA. Capacity AI right-sizes CPU and memory automatically and bills on consumed or reserved capacity, so you are not manually sizing machines to peak the way you typically do on Fly.io. ## Outgrowing the edge? Run your standard containers across AWS, GCP, Azure, and on-prem as one virtual cloud, on managed infrastructure or in your own accounts, with geo-intelligent routing to the nearest deployment, no cluster you have to operate, scale-to-zero, and compliance. Test it on one real workload and see. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) 99.999% uptime SLA · SOC 2 Type II · PCI DSS Level 1 --- # Control Plane vs Heroku: Enterprise Platform vs Classic PaaS (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-heroku [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Heroku Comparison # Control Plane vs Heroku 6 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated September 7, 2026First published July 9, 2026 ## Summary **Control Plane** runs your containerized apps on managed infrastructure, in Control Plane's cloud accounts by default or in your own accounts and on-prem, across one cloud or several, without having to operate a cluster yourself. It builds from Git with buildpacks and per-PR preview environments for push-to-deploy delivery, and also deploys through the CLI, Terraform, Pulumi, API, and UI. It goes further than a single-vendor PaaS: it runs in your own cloud accounts across AWS, GCP, and Azure and on-prem, adds full Linux and Windows VMs, true scale-to-zero with Capacity AI right-sizing, and consumption pricing by the milli-core instead of per-dyno. Heroku is the classic git-push PaaS, but it hosts every app on its own infrastructure, with no control over where workloads run or the ability to move them across clouds. | At a glance | Control Plane | Heroku | | --- | --- | --- | | Where workloads run | Managed infra or your own accounts/on-prem | Heroku's infrastructure only | | Active development | ✓ Active | Sustaining engineering (Feb 2026) | | Scale-to-zero | ✓ Yes | No (Eco dynos sleep) | | Cost model | Consumption, milli-core billing | Dyno pricing | | Workload types | Containers, VMs, plus Sandboxes | Dynos + add-ons | Control Plane is an enterprise platform that runs your containerized apps on managed clusters, on its own cloud accounts by default or across your accounts and on-prem, combining one cloud or several into one layer, without having to operate a cluster yourself, built-in CI/CD-ready deploys, managed databases, per-PR preview environments, scale-to-zero, automatic right-sizing, and platform-level compliance. Heroku is the classic single-vendor developer PaaS: you git push and it builds, runs, and manages your app on Heroku's own infrastructure. Both take the operational pain out of running apps, but they draw the line in different places: Heroku keeps everything on its own infrastructure, while Control Plane gives you control over where your app runs and the freedom to move it across clouds. ## The core difference: a single-vendor PaaS vs an adaptable enterprise platform Control Plane runs your standard containers on hardened, managed clusters. Those run on Control Plane's own cloud accounts by default or across your AWS, GCP, Azure, and on-prem accounts as one layer, with identity, networking, security, and scaling handled uniformly. It is built on Kubernetes but requires no Kubernetes expertise, so you never have to operate a cluster yourself, though you can run Managed Kubernetes (MK8s) or Bring Your Own Kubernetes (BYOK) when you want that control. You get the operational ease of a PaaS, plus control over where the workloads run, scale-to-zero, automatic right-sizing, managed databases, and platform-level compliance built in. Deploys go through git-driven builds and buildpacks, or the CLI, API, and infrastructure as code such as Terraform and Pulumi, which fits CI/CD pipelines and keeps workloads portable across clouds. Heroku draws the line differently. You commit code and run git push heroku main, and the platform builds a slug, provisions dynos, wires up add-ons, and serves your app, all on Heroku's own single-vendor infrastructure. That model keeps every app on Heroku, with no say over where the workload runs or the ability to move it across clouds, and in February 2026 Heroku moved to what it calls a sustaining engineering model, focused on stability, security, and support rather than major new features. ## Why teams are looking past Heroku in 2026 The first catalyst is roadmap. In February 2026 Heroku moved to a sustaining engineering model, focused on stability, security, and support rather than major new features, and teams planning years ahead weigh that carefully. Beyond the roadmap, several themes recur. Cost climbs at scale, and dyno-based scaling has a ceiling. Control over where workloads run and their data residency is limited, since on Heroku everything lives on Heroku's own infrastructure. And the single-vendor model constrains teams that want to run across more than one cloud, in their own accounts, or on-prem. As teams outgrow a single-vendor PaaS, a comparison like this goes on the table. ## Which one should you pick? ### Choose Control Plane if... - You want an enterprise platform that runs the same apps on managed clusters, on Control Plane's compute or your own accounts, one cloud or several, plus on-prem. - You want control over where workloads run and their data residency, including your own accounts if you need it. - You want scale-to-zero and automatic right-sizing instead of always-on dynos. - You need compliance that applies across your own cloud accounts and multiple clouds, not just one vendor's platform. - You are outgrowing a single-vendor PaaS and want operational ease without having to operate a cluster yourself, while keeping the option to run Managed Kubernetes (MK8s) or bring your own. ### Where Heroku differs - It is a single-vendor PaaS with a git-push deploy from a connected repository. - It runs apps as dynos with an add-on marketplace, on Heroku's own infrastructure. - In February 2026 it moved to a sustaining engineering model, focused on stability and support rather than new features. Control Plane's CLI, Terraform, Pulumi, and API deploys wire into your own CI/CD for the same push-to-deploy pipeline, and add control over where workloads run, VMs, multi-cloud, and platform-level compliance. ## When a region, a cloud, or an account goes down Every platform has outages, and so do the clouds underneath all of us. On Control Plane, a workload runs in every location of its Global Virtual Cloud (GVC) at the same time, across AWS, GCP, and Azure regions and your own clusters. Traffic goes to the nearest healthy location using latency-based DNS geo-routing. When a location stops passing health checks, it drops out of routing and the others keep serving. One workload on three clouds. The AWS location fails its health checks, leaves routing, and GCP and Azure keep serving. ### A region fails The GVC routes around it. Users who were reaching that region land on the next-nearest healthy location. If you want a specific backup instead of the closest one, priority tiers send traffic to the location you chose. ### A cloud provider fails With locations on more than one provider, a provider-wide outage takes out only that provider's locations. Your GCP and Azure locations keep serving the same workload behind the same endpoint while AWS recovers. ### A cloud account fails Locations can run in Control Plane's cloud accounts or in your own accounts and clusters (BYOK). Spread a GVC across more than one account, and an account that is suspended or misconfigured becomes one more location for the GVC to route around. Two conditions apply. Failover needs at least two replicas in at least two locations, which is also the condition on our 99.999% SLA. And data does not move by itself: each replica gets its own volume, so a database that has to survive the loss of a location needs replication at the application level, such as Postgres WAL streaming between locations. ### Heroku's public incident reports - [Incident Review: Intermittent Disruption and Degradation of Heroku Services on October 20, 2025](https://www.heroku.com/blog/incident-review-intermittent-disruption-of-services-on-october-2025) (October 20, 2025) - [Summary of Heroku June 10 Outage](https://www.heroku.com/blog/summary-of-june-10-outage/) (June 10, 2025) ## Control Plane vs Heroku, side by side 58 capabilities, scored from each vendor's public documentation with the same rules applied to both columns. Hover a capability for what it measures, or a verdict for the reason behind it. | Capability | Control Plane | Heroku | | --- | --- | --- | | Workload placement & topology | | | | Can one logical environment span two different cloud providers at once? | YYes | NNo | | Number of publicly published regions or locations | YYes | YYes | | Can you attach your own Kubernetes cluster as a managed target? | YYes | NNo | | Automatic failover of a running workload to another location | YYes | NNo | | Fine-grained traffic steering across locations (priority, latency bias) | YYes | NNo | | Getting to first deploy | | | | Git push to a branch triggers build and deploy with no external CI | YYes | YYes | | Built-in image builder (no Dockerfile required) | YYes | YYes | | Named framework guides (Next.js, Django, Rails, Laravel…) | PPartial | YYes | | One-click template or app catalog | YYes | YYes | | Documented free tier | YYes | NNo | | Local development story (emulator, local run, tunnel) | PPartial | YYes | | Migration in | | | | Import from an existing platform (Heroku, compose, Kubernetes manifests) | YYes | PPartial | | Scaling & efficiency | | | | Metric-driven horizontal autoscaling | YYes | PPartial | | Automatic vertical resizing of a running workload | YYes | NNo | | Scale to zero with automatic wake | YYes | PPartial | | Published cold-start or wake latency figures | NNo | NNo | | Spot or preemptible instance support | PPartial | NNo | | Networking & edge | | | | First-party CDN or edge caching | NNo | NNo | | First-party managed WAF | NNo | NNo | | Egress control: restrict which destinations a workload may reach | YYes | NNo | | Private connectivity into a customer VPC or on-prem network | YYes | PPartial | | Encrypted service-to-service networking as a platform default | YYes | NNo | | Application-layer request authentication at the edge | YYes | PPartial | | Static IP addresses for inbound or outbound traffic | YYes | PPartial | | Storage & data services | | | | Managed relational or key-value databases as a first-party product | YYes | YYes | | Persistent volumes attachable to a scaled-out workload | YYes | NNo | | Automatic volume growth before capacity is exhausted | YYes | PPartial | | Backup and restore with scheduled retention | PPartial | YYes | | Static site hosting as a first-class product | NNo | NNo | | First-class background jobs, queues and cron | PPartial | YYes | | Identity & secrets | | | | How a workload authenticates to external cloud services | YYes | NNo | | Secrets management with access control on retrieval | YYes | PPartial | | Role-based access control granularity | YYes | PPartial | | Audit trail of platform changes | YYes | PPartial | | Third-party compliance certifications | YYes | YYes | | Multi-tenancy for the customer's own end customers | PPartial | NNo | | Operations & observability | | | | Metrics with a queryable interface | YYes | PPartial | | Distributed tracing | YYes | PPartial | | Managed log export to third-party destinations | YYes | YYes | | Default log retention | YYes | PPartial | | Built-in alerting with notification channels | YYes | PPartial | | Shell, file copy and port-forward into a running workload | YYes | PPartial | | Progressive delivery: weighted traffic between versions | YYes | NNo | | Ephemeral preview environment per pull request | YYes | YYes | | Automation & extensibility | | | | First-party infrastructure-as-code provider (Terraform or equivalent) | YYes | YYes | | Complete public API reference | YYes | YYes | | MCP server for AI-agent operation of the platform | YYes | PPartial | | Machine-readable documentation (llms.txt, per-page markdown) | YYes | YYes | | Ephemeral sandboxes for running untrusted or AI-generated code | YYes | PPartial | | Core product available as open source | NNo | PPartial | | Specialized compute | | | | Run full virtual machines, not just containers | YYes | NNo | | Run GPU workloads alongside standard services | YYes | NNo | | Commercial terms | | | | Published compute and memory unit prices | NNo | PPartial | | Published uptime SLA with a number | YYes | NNo | | Documented path to migrate off the platform | PPartial | PPartial | | Public community channel | PPartial | PPartial | | Named reference customers published | PPartial | YYes | | Vendor continuity risk signals | PPartial | PPartial | Scored from public documentation as of September 2026. “No” means not documented, not necessarily absent; breadth is not a quality ranking, and specialists doing one thing well score narrow by design. ## Which fits your scenario **Control Plane fits: a growing team whose Heroku bill is climbing and that now needs to run across more than one cloud.** You run the same standard containers across AWS, GCP, Azure, and on-prem in your own accounts under one identity and network model, without having to operate a cluster yourself, scale-to-zero, and automatic right-sizing to hold down cost. Heroku keeps every app on its single-vendor platform, so it cannot give you ownership, data residency, or multi-cloud reach. [Universal Cloud Identity](https://docs.controlplane.com/reference/identity) lets those workloads reach native services like S3, DynamoDB, and BigQuery with temporary session credentials instead of stored keys. **What Heroku is.** Heroku is the classic single-vendor git-push PaaS: git push heroku main builds and runs your app on Heroku's own infrastructure, with an add-on marketplace for Postgres, Redis, and more. Control Plane delivers push-to-deploy from Git with buildpacks and per-PR preview environments too, and also lets you run in your own cloud accounts across multiple clouds and on-prem, add VMs, and pay by consumption, so you do not outgrow it as you scale. **Why teams consolidate on Control Plane.** The moment a climbing bill, regulated data, VMs, or workloads spanning more than one cloud enter the picture, a single-vendor PaaS stops being enough. Control Plane matches the Heroku workflow, with git-driven builds, buildpacks, per-PR preview environments, and managed databases, and adds control over where workloads run, your own cloud accounts, full VMs, scale-to-zero, automatic right-sizing, and consumption pricing across every cloud and on-prem, so you run one platform instead of two. > "We can do the same things we could do in Heroku (so we don't have to go low-level in AWS) but Control Plane gives us fine-grained control over the resources allocated to an individual process." Jame Mackson, CTO, Upsie50% savings over Heroku ## Frequently asked questions - Is Control Plane a Heroku replacement? For teams scaling past a single-vendor PaaS, often yes. Heroku hosts your app on its own platform with a git-push workflow. Control Plane is an enterprise platform that runs the same containerized apps on managed clusters, on its cloud accounts by default or in your own accounts across AWS, GCP, Azure, and on-prem, without having to operate a cluster yourself. Deploys use git-driven builds, or standard containers via CLI, Terraform, and API, which keeps them portable across clouds. - Is Heroku still being developed in 2026? In February 2026 Heroku moved to what it calls a sustaining engineering model, focused on stability, security, and support rather than major new features. It continues to run existing apps, but teams planning long-term growth weigh that roadmap when deciding where to invest. Control Plane is under active development, with scale-to-zero, VMs, multi-cloud, and the ability to run in your own cloud accounts. - Does Control Plane deploy from Git like Heroku? Yes. Control Plane supports git-driven builds with buildpacks and per-PR preview environments for push-to-deploy delivery, and also deploys prebuilt containers and VMs through the CLI, Terraform, Pulumi, API, and UI. You get the push-to-deploy workflow without being locked to one vendor's infrastructure, and workloads stay portable across clouds. - What is the difference between Heroku and Control Plane? Heroku is a managed, single-vendor PaaS: you rent capacity on Heroku's own infrastructure and deploy with git push. Control Plane is a cloud virtualization platform. It runs your standard containers on hardened, managed clusters, on its own cloud accounts by default or in your own accounts or on-prem, one cloud or several, without having to operate a cluster yourself. Scale-to-zero, automatic right-sizing, identity, networking, and compliance are built in. Heroku hosts your app on its own infrastructure; Control Plane lets you control where the workload runs and move it across clouds. - Can I move Heroku apps to Control Plane? Most Heroku apps are already twelve-factor and containerize cleanly. Once in a container they run on Control Plane's managed clusters, on its cloud accounts by default or in your own accounts, with scale-to-zero and automatic right-sizing. Add-ons like Postgres, Redis, Kafka, and Mongo have equivalents in the Control Plane Template Catalog. The main change is the deploy workflow: git push becomes a container build plus CLI, API, or IaC deploy. ## Outgrowing Heroku? Run the same apps as standard containers on managed clusters, on Control Plane's compute or your own accounts across AWS, GCP, Azure, and on-prem. It is one layer with operational ease and no cluster you have to operate yourself, plus scale-to-zero, automatic right-sizing, and compliance. Test it on one real workload and see. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) 99.999% uptime SLA · SOC 2 Type II · PCI DSS Level 1 --- # Control Plane vs Red Hat OpenShift: Managed Cloud vs Enterprise Kubernetes You Operate (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-openshift [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Red Hat OpenShift Comparison # Control Plane vs Red Hat OpenShift 7 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated September 4, 2026First published July 9, 2026 ## Summary **Control Plane** gives you Kubernetes-grade infrastructure that is operated for you, so there is no cluster you have to run and no per-core licensing. It runs your workloads across AWS, GCP, Azure, and on-prem in your own accounts, deployed through one UI, CLI, and API, with built-in scale-to-zero, Capacity AI right-sizing, and credential-free cross-cloud identity. OpenShift is Red Hat's enterprise Kubernetes distribution: a supported, opinionated stack you install, operate, and license per core, keeping the control plane, worker nodes, and upgrades as your responsibility. Both are built on Kubernetes; the difference is that Control Plane runs the clusters for you, and for teams that do want to own a cluster it also offers Managed Kubernetes (MK8s) and Bring Your Own Kubernetes (BYOK). | At a glance | Control Plane | OpenShift | | --- | --- | --- | | Cluster to operate | None required, or run your own | The OpenShift cluster | | Runs across clouds | ●●●●● | ●●●●● | | Licensing | Consumption | Per-core subscription | | Scale-to-zero | ✓ Yes | Add-ons | | Security by default | ✓ Kata microVM, mTLS | SCCs, SELinux, RBAC | | Kubernetes expertise needed | None required | Deep K8s + OpenShift | Both are ways to run modern workloads on Kubernetes, but they sit on opposite sides of one question: who operates the cluster? Control Plane is a cloud virtualization platform that operates hardened, security-isolated Kubernetes clusters on your behalf across AWS, GCP, Azure, and on-prem, so there is no cluster you have to run and no per-core licensing. OpenShift is an enterprise Kubernetes distribution you install, run, and license per core yourself, on-prem or in a cloud, keeping the control plane and worker nodes alive as your own responsibility. ## The core difference: a Kubernetes distribution you operate vs a platform run for you OpenShift is Red Hat's enterprise Kubernetes platform. It takes upstream Kubernetes, wraps it in an opinionated set of defaults, developer tooling, CI/CD, and security policy, and backs it with commercial support. Whatever that bundle adds, the operating model does not change: you still install OpenShift, run the control plane and worker nodes, apply upgrades, and license the whole thing per core. The underlying Kubernetes complexity is managed, not removed, and it stays your responsibility. Control Plane applies the idea one level up. Instead of shipping you a Kubernetes distribution to operate, it orchestrates hardened, security-isolated Kubernetes clusters for you across AWS, GCP, Azure, and on-prem. It exposes the parts you actually deploy against: workload, identity, networking, and policy primitives. You get Kubernetes-grade infrastructure without running the cluster, upgrading nodes, or exposing Kubernetes API tokens to your workloads. The resource model is simple: an Org contains GVCs, and a GVC contains Workloads, with five workload types: Serverless, Standard, Stateful, Cron, and VM, plus Sandboxes, microVM-isolated ephemeral environments for AI agents and untrusted code that spin up in under a second with no stored credentials. You build your own cloud on top, and the cluster operations happen underneath you. ## Why teams look past OpenShift in 2026 The catalyst is usually operational overhead and cost. OpenShift is opinionated and supported, but it is still a cluster (often several) that your team installs, secures, upgrades, and keeps healthy. That means you still need deep Kubernetes and OpenShift expertise on staff. The per-core subscription bundles mean cost scales with the size of the clusters you provision, whether or not that capacity is busy. And because the underlying Kubernetes complexity remains, the promise of a simpler developer experience often runs into the reality of a platform team spending its time on the platform. Add multi-cloud, where the common pattern is a separate OpenShift cluster per environment that you operate and stitch together, and the operational surface grows fast. For a growing number of teams, that overhead is exactly what they want to hand off, which is where Control Plane comes in. ## Which one should you pick? ### Choose Control Plane if... - You want Kubernetes-grade infrastructure operated for you, with no cluster to run unless you choose to. - You want to run across AWS, GCP, Azure, and on-prem as one layer, not a cluster per environment. - You want to escape per-core licensing and pay for consumption in your own cloud accounts. - You want deny-by-default security, mTLS, and Kata microVM isolation on by default rather than configured. - You want to ship workloads without deep Kubernetes or OpenShift expertise on staff. ### Where OpenShift differs - It is a Kubernetes distribution you install and operate yourself, on-prem or in a cloud. - It exposes the raw Kubernetes API and lets you tune the control plane, nodes, and networking directly. - It is sold with commercial Red Hat support and integrates with the Red Hat ecosystem. These come with owning and operating the cluster, its upgrades, and per-core licensing. Control Plane runs hardened, security-isolated Kubernetes clusters for you across clouds and on-prem, so you deploy workloads without any of that operational surface. ## Control Plane vs OpenShift, side by side | Dimension | Control Plane | OpenShift | | --- | --- | --- | | What you operate | Nothing by default: clusters are run for you, or run your own via MK8s or BYOK | The OpenShift cluster, upgrades, and nodes | | Licensing / cost | Consumption in your own cloud accounts | Per-core-pair subscription (self-managed); consumption on managed ROSA/ARO | | Multi-cloud and on-prem | One layer across AWS, GCP, Azure, and on-prem | A cluster per environment you operate | | Kubernetes API access | Workload, identity, and policy primitives; raw Kubernetes API via MK8s or BYOK | Full platform plus raw Kubernetes API | | Security by default | Kata microVM isolation, deny-by-default firewalls, mTLS, audit | SCCs, SELinux, RBAC on by default; microVM isolation and mTLS not built in | | Cost controls | Scale-to-zero plus Capacity AI right-sizing | Autoscaling available; scale-to-zero only via the Serverless add-on; capacity provisioned up front | | Kubernetes expertise needed | None required, no cluster to operate | Deep Kubernetes and OpenShift expertise | | Compliance | PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR, carried at the platform level | Shared responsibility: you configure and maintain it on the clusters you run | | Best for | Ship workloads without cluster ops or licensing | A self-run Kubernetes distribution you operate yourself (Control Plane also offers this via MK8s and BYOK) | ## Which fits your scenario **Control Plane fits: a team running the same services across AWS, GCP, Azure, and on-prem that would rather not run a cluster in every environment.** You deploy your standard containers across all four in your own accounts under one identity and network model, with no OpenShift cluster to install, upgrade, or license per core in each environment. [Universal Cloud Identity](https://docs.controlplane.com/reference/identity) gives workloads credential-free, least-privilege access to native services in every account, which removes the separate-cluster-per-environment stitching that OpenShift leaves to you. **What OpenShift is.** OpenShift is a Red Hat Kubernetes distribution you install and operate yourself, with raw Kubernetes API access, commercial Red Hat support, and Red Hat ecosystem integration, along with the operations, upgrades, and per-core licensing that come with running it. When owning and tuning a cluster is a hard requirement, Control Plane covers that too: its Managed Kubernetes (MK8s) and Bring Your Own Kubernetes (BYOK) clusters give you full Kubernetes and raw API access without the install, upgrade, and patch burden or a per-core subscription. **Why teams consolidate on Control Plane.** The moment multi-cloud, on-prem, and cloud burst workloads enter the picture, running and stitching together a separate OpenShift cluster per environment stops scaling. Control Plane runs hardened, security-isolated Kubernetes clusters for you across every cloud and on-prem as one layer, with credential-free identity and built-in scale-to-zero, so new services ship without standing up another cluster to operate or paying per core for idle capacity. > "Control Plane eliminates over 50% of our DevOps work. We have two DevOps engineers and they're running out of things to do. It's a good problem to have." Jude Lee, CEO, IIInigence50% less DevOps work ## Frequently asked questions - Is Control Plane an OpenShift replacement? For teams that want Kubernetes-grade infrastructure without running a cluster, often yes. OpenShift is an enterprise Kubernetes distribution you install, operate, and license per core, whether on-prem or in a cloud. Control Plane orchestrates hardened, security-isolated Kubernetes clusters on your behalf across AWS, GCP, Azure, and on-prem, so there is no cluster you have to run and no per-core licensing. For teams that do want to own and tune a cluster, Control Plane also offers Managed Kubernetes (MK8s) and Bring Your Own Kubernetes (BYOK), without per-core licensing or the install-and-upgrade burden. - Do I still need Kubernetes expertise with Control Plane? No. Control Plane is built on Kubernetes and orchestrates hardened, security-isolated clusters for you, but you never run the control plane, upgrade nodes, or manage namespaces on managed locations. You deploy workloads through one UI, CLI, and API. OpenShift, by contrast, still requires deep Kubernetes and OpenShift operational expertise even though it is opinionated and supported. - How does licensing differ between Control Plane and OpenShift? Self-managed OpenShift is a Red Hat subscription priced per core-pair (two cores or four vCPUs), so cost scales with the cluster size you provision whether or not it is busy; managed ROSA and ARO are consumption-priced per vCPU plus a Red Hat fee and your cloud infrastructure. Control Plane is consumption-based in your own cloud accounts, with scale-to-zero and Capacity AI right-sizing so you do not pay for idle capacity, and no Red Hat licensing layer on top. - What is the difference between OpenShift and Control Plane? OpenShift is an enterprise Kubernetes platform you operate: an opinionated, supported stack you install on-prem or in a cloud and license per core. You own the cluster, upgrades, and nodes. Control Plane is a platform run for you: it orchestrates hardened, security-isolated Kubernetes clusters on your behalf across clouds and on-prem, exposing workload, identity, and policy primitives so you deploy applications without operating any cluster. - Can Control Plane run across multiple clouds and on-prem? Yes. Control Plane runs containers and virtual machines across AWS, GCP, Azure, and on-prem from one UI, CLI, and API, in your own accounts, as a single layer. With OpenShift you typically stand up and operate a separate cluster in each environment and stitch them together yourself. ## Looking past OpenShift? Run your containers and VMs across AWS, GCP, Azure, and on-prem as one layer, in your own accounts, on hardened security-isolated clusters that are run for you, with no cluster to operate and no per-core licensing. Teams typically cut cloud compute costs 30 to 50 percent after moving to Control Plane. Test it on one real workload and see. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) 99.999% uptime SLA · SOC 2 Type II · PCI DSS Level 1 --- # Control Plane vs VMware: Cloud Virtualization vs Server Virtualization (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-vmware [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs VMware Comparison # Control Plane vs VMware 9 min read [Summary](#summary)[Background](#background)[Side by side](#compare)[Why Control Plane](#case-cp)[Where VMware differs](#case-vmware)[Which fits you](#scenarios)[FAQ](#faq) Last updated September 3, 2026First published July 8, 2026 ## Summary **Control Plane** runs your containers and full virtual machines across AWS, GCP, Azure, and your own servers as one platform, with platform-level compliance, unified identity and networking, scale-to-zero, and no hypervisor or per-core licensing to manage. VMware virtualizes servers: it turns the physical machines in your datacenter into virtual machines you manage centrally on your own hardware. Both virtualize, but they solve different problems. If you are modernizing toward the cloud and want to escape per-core licensing, Control Plane runs your VMs and containers directly under one model. VMware differs in one area: deployments anchored to bare-metal hardware features (vSphere, NSX, vSAN internals, device passthrough) or fully air-gapped datacenters may remain on it. | At a glance | Control Plane | VMware | | --- | --- | --- | | Runs across clouds | ●●●●● | ●●●●● | | Infra to operate | No hosts | Hosts + vCenter | | Scale-to-zero | ✓ Yes | ✗ No | | Cost model | Consumption | Per-core license | | Workload types | Containers + VMs | VMs first | | Compliance built in | ✓ PCI L1, SOC 2, HIPAA | Self-managed | ## What each one is VMware and Control Plane both virtualize, but at different layers. **VMware is a software-defined datacenter stack.** It rests on three pillars. **vSphere** is compute virtualization: the ESXi hypervisor runs many isolated virtual machines on one physical server, and vCenter manages them centrally, with live migration and automated resource balancing. **NSX** is software-defined networking: virtual switches, routing, and a distributed firewall that lets you micro-segment traffic between VMs without re-cabling anything. **vSAN** is software-defined storage: it pools the local disks across your servers into one shared datastore governed by policy. Together they turn a rack of hardware into a centrally managed pool of compute, network, and storage. Server virtualization has run the enterprise datacenter for two decades. **Control Plane is cloud virtualization.** You point it at whatever substrates you have (an AWS account, a GCP project, a Kubernetes cluster, your own Linux servers) and it runs your workloads across all of them as one platform, with identity, networking, security, and scaling handled uniformly. You do not manage hosts or a hypervisor; you deploy applications and it places them. Control Plane runs full VMs as well as containers, so a VM-based app keeps its architecture, minus the VMware-specific stack (vSphere, NSX, vSAN). Broadcom's acquisition of VMware and shift to per-core pricing is why many VMware teams are re-evaluating whether to stay on their own hardware or move to the cloud. Control Plane is a common destination when they move. ## Control Plane vs VMware, side by side | Dimension | Control Plane | VMware | | --- | --- | --- | | What it virtualizes | The cloud: clouds, regions, clusters, servers into one virtual cloud | Physical servers into virtual machines | | Where it runs | AWS, GCP, Azure, and on-prem, as one layer | Your datacenter hardware (cloud via VCF add-ons) | | Workload types | Containers plus VMs (Linux and Windows), serverless, cron, stateful, plus Sandboxes for AI agents and untrusted code | Virtual machines (containers via Tanzu) | | What you operate | No hypervisor hosts or vCenter; you run the platform and your apps (your own clusters too) | ESXi hosts, vCenter, upgrades, patching | | Multi-cloud | Native, one network and identity model across clouds | Datacenter-first; cloud through add-ons | | Pricing model | Consumption in your own cloud accounts | Per-core subscription bundles (Broadcom) | | Cost controls | Scale-to-zero plus Capacity AI right-sizing | Provision hosts and VMs to peak | | Compliance | PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR | Self-managed; you own the audits and controls | **What you operate.** With VMware you run the infrastructure: ESXi hosts, vCenter, patching, upgrades, and capacity planning. Control Plane has no hypervisor hosts or vCenter to run; you operate the platform and your applications on it. Running Kubernetes is optional: bring your own clusters (Bring Your Own Kubernetes, BYOK) or use Managed Kubernetes (MK8s) when you want them. **Workload types.** VMware is VM-first; containers arrive through Tanzu as a separate layer. Control Plane runs full Linux and Windows VMs and containers as first-class workload types on the same platform. This matters for the common real-world estate that is half containerized and half on VMs nobody wants to re-architect yet, because both run under one model instead of two parallel stacks. **Multi-cloud and cost.** VMware is datacenter-first, with cloud reached through add-on products, and it bills per core whether or not a VM is busy. Control Plane is natively multi-cloud with one network and identity model, bills for consumption in your own accounts, and scales idle workloads to zero while Capacity AI right-sizes the rest. **Compliance.** Control Plane ships with PCI DSS Level 1 and SOC 2 Type II, and supports HIPAA and GDPR, at the platform level. On VMware the platform is capable, but the certifications and controls are yours to build and maintain. ## The case for moving to Control Plane Leaving VMware is a chance to modernize, not just re-platform. - **Stop paying Broadcom per core.** Control Plane bills for consumption in your own cloud accounts, scales idle workloads to zero, and right-sizes the rest automatically with Capacity AI. Teams typically cut cloud compute costs 30 to 50 percent after moving, and some far more: SAFE Health reports a 75 percent drop in AWS spend. - **Bring your VMs, and modernize on your own schedule.** Control Plane runs full Linux and Windows VMs and containers as first-class workloads on one platform, so you lift VM-based apps as they are and containerize when it suits you, with no forced re-architecture. - **One platform across every cloud and on-prem.** Run across AWS, GCP, Azure, and your own servers as a single layer with unified identity, networking, and scaling. Deploy active-active across regions for resilience and low latency, without rebuilding your stack in each provider. - **Nothing underneath you must operate.** No ESXi hosts, no vCenter, and no cluster you are forced to patch or upgrade. Your team ships applications instead of maintaining infrastructure. - **Enterprise compliance and uptime built in.** PCI DSS Level 1, SOC 2 Type II, HIPAA, and GDPR at the platform level, with a 99.999% uptime SLA. ## Where VMware differs VMware operates at the hardware layer, so a few capabilities are specific to it: - **Hardware-level datacenter features.** NSX micro-segmentation, vSAN storage policies, vSphere DRS, and direct device passthrough and host tuning operate against physical hardware. Control Plane is not a bare-metal hypervisor and does not replace these; re-expressing an audit posture built directly on them is architecture work. - **Fully air-gapped deployments.** Workloads that must run completely disconnected from the internet fit VMware's on-hardware model, since Control Plane's managed layer needs outbound connectivity. Data sovereignty alone is different: Control Plane can keep data in your own datacenter by running on your on-prem servers. - **Bare-metal hypervisor management.** VMware manages ESXi hosts and vCenter directly on your servers. Control Plane places workloads onto your servers as managed locations but does not administer the hypervisor itself. Control Plane does not require you to give up your own servers: you point it at your own on-prem Linux machines and they become managed locations, running alongside the public clouds. The deciding factor is whether a deployment depends on those hardware-level features, not whether you own hardware. ## Which fits your scenario **Control Plane fits: a team modernizing to the cloud.** A company running roughly forty containerized microservices plus a handful of Windows VMs for a legacy billing system. They want active-active across AWS and GCP for latency and resilience, and they just got a renewal quote several times their old VMware bill. Control Plane runs the containers and those VMs as one platform across both clouds in their own accounts, and scales the quiet services to zero overnight. **Where VMware still applies: a manufacturer anchored on-prem.** A medical-device maker running latency-sensitive control software on specialized hardware inside an air-gapped datacenter, with NSX micro-segmentation mapped directly to their audit boundaries. Here the hardware and network dependencies have no cloud equivalent and the estate cannot leave the building, so it remains on VMware. **Why teams consolidate on Control Plane.** The moment workloads move toward the cloud, span more than one provider, or mix containers with VMs, running everything under one platform beats maintaining a datacenter stack plus per-core licensing. Control Plane runs the containers and the VMs together across every cloud and your own servers, with platform-level compliance and unified identity, so a retailer can move spiky, customer-facing ecommerce and modernizing services onto it and retire the pieces of the VMware estate that no longer need dedicated hardware. ## Modernizing off VMware? Run your containers and VMs across AWS, GCP, Azure, and on-prem as one virtual cloud, in your own accounts, with no hypervisor or cluster to operate. Test it on one real workload. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) 99.999% uptime SLA · SOC 2 Type II · PCI DSS Level 1 > "Control Plane positively impacted DIV Brands' daily operations by enabling us to host services in multiple regions with 99.999% availability and ultra-low latency." Gus Fune, CTO, DIV Brands99.999% availability, multi-region ## Frequently asked questions - Is Control Plane a VMware replacement? For workloads you are moving to the cloud, often yes. VMware virtualizes physical servers in your datacenter; Control Plane virtualizes the cloud, running your containers and virtual machines across AWS, GCP, Azure, and on-prem as one layer with no hypervisor to operate. It is not a like-for-like swap for a hardware-anchored VMware estate that depends on vSphere, NSX, or vSAN internals. - What do vSphere, NSX, and vSAN actually do? They are the three pillars of the VMware software-defined datacenter. vSphere is compute virtualization: the ESXi hypervisor that runs virtual machines on your servers, managed by vCenter. NSX is software-defined networking: virtual switches, routing, and a distributed firewall for micro-segmentation, without re-cabling hardware. vSAN is software-defined storage: it pools the local disks across your servers into one shared datastore with policy-based management. - Can Control Plane run virtual machines like VMware? Yes. Control Plane has a VM workload type that runs full Linux and Windows virtual machines alongside containers, cron jobs, and stateful services, plus Sandboxes for AI agents and untrusted code, all in your own cloud accounts. What it does not do is manage bare-metal hypervisor hosts in your datacenter the way VMware vSphere does. - Why are teams leaving VMware in 2026? The main driver is cost. After Broadcom acquired VMware and moved to per-core subscription bundles, many customers saw renewal costs jump sharply, with reported increases ranging from the low hundreds of percent to roughly tenfold in the largest court-documented cases. That, plus a broader push to modernize off datacenter hardware, is why teams are evaluating cloud-native alternatives. - Does Control Plane require you to give up your own servers? No. Your own on-prem servers can be one of the substrates Control Plane runs on, alongside AWS, GCP, and Azure. Control Plane is not a bare-metal hypervisor: it does not replace ESXi, vCenter, or hardware-level features like NSX micro-segmentation and vSAN storage policies. The deciding factor is whether you depend on those hardware-level features, not whether you own servers. --- # Control Plane vs Nutanix: Cloud Virtualization vs Hyperconverged Infrastructure (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-nutanix [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Nutanix Comparison # Control Plane vs Nutanix 4 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated August 6, 2026First published August 6, 2026 ## Summary Choose Control Plane to run containers and VMs across AWS, GCP, Azure, and your own servers as one virtual cloud, with no hypervisor stack to own. Choose Nutanix to build and operate a private cloud on hardware in your own datacenter. Short version: Nutanix virtualizes your servers; Control Plane virtualizes the cloud. | At a glance | Control Plane | Nutanix | | --- | --- | --- | | Runs across public clouds | ●●●●● | ●●●●● | | Can run in your own accounts | ✓ Yes | Datacenter, or your AWS/Azure/GCP account via NC2 | | What you operate | Nothing underneath | Hosts, hypervisor, storage | | Scale-to-zero | ✓ Yes | ✗ No | | Compliance built in | PCI DSS L1, SOC 2, HIPAA | Product certs; your estate is yours to certify | Nutanix and Control Plane are both in the business of making infrastructure disappear behind one surface; they just start from opposite ends. Nutanix is hyperconverged infrastructure: it pools the compute and storage of servers you own into a private cloud, with the AHV hypervisor underneath. Control Plane is a cloud virtualization platform: it composes AWS, GCP, Azure, Kubernetes clusters, and those same on-prem servers into one virtual cloud you deploy to, with no hypervisor stack of your own to run. ## The core difference: virtualize your servers, or virtualize the cloud Nutanix's center of gravity is the datacenter. You buy or certify hardware, run the Nutanix stack on it, and get a genuinely good private cloud: VMs first, Kubernetes on top, storage and management in one place. The trade is that the platform is yours to operate: hosts, upgrades, capacity planning, and the licensing that comes with it. Control Plane starts from the cloud and works back. Workloads (containers and full VMs) deploy once and run across any mix of public clouds and your own servers, with identity, networking, TLS, observability, and failover handled by the platform. Your on-prem machines can join as regions of the same virtual cloud. There is no hypervisor to license and no platform team to staff. ## Which one should you pick? ### Choose Control Plane if... - Your center of gravity is, or is moving to, the public cloud. - You want containers and VMs under one model across clouds and on-prem, with nothing underneath to operate. - You want consumption pricing, scale-to-zero, and automatic right-sizing instead of per-core licensing. - You need PCI DSS Level 1, SOC 2 Type II, HIPAA, or GDPR at the platform level. ### Choose Nutanix if... - Your estate lives in your own datacenter and needs to stay there. - You need a hardware-level platform: hypervisor, software-defined storage, VDI. - You run air-gapped environments; Control Plane expects outbound connectivity by default and handles air-gapped setups case by case with support. - You have the team, and the appetite, to operate the stack end to end. ## Control Plane vs Nutanix, side by side | Dimension | Control Plane | Nutanix | | --- | --- | --- | | What it virtualizes | Clouds, Kubernetes clusters, and on-prem servers into one virtual cloud | Your servers into a hyperconverged private cloud | | Where workloads run | AWS, GCP, Azure, managed compute, or your own servers | Your datacenter, or your own AWS, Azure, or Google Cloud account via NC2 bare-metal clusters | | What you operate | Nothing underneath on managed compute; on your own servers, the hardware and OS | Hosts, AHV hypervisor, storage, upgrades | | Workload types | Containers, VMs, serverless, cron, stateful | VMs first; Kubernetes via Nutanix Kubernetes Platform (NKP; Starter tier included with NCI Pro and Ultimate) | | Scaling | Autoscaling with scale-to-zero and Capacity AI right-sizing | Capacity you plan and provision | | Networking & identity | One network and identity model across substrates | Flow Virtual Networking and Flow Network Security micro-segmentation across your Nutanix estate | | Compliance | PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR at the platform level | ISO 27001, Common Criteria, FIPS 140-3 on the product; SOC 2 on NC2; your deployment's PCI/HIPAA posture is yours to build | | Pricing model | Consumption on managed compute; per-core-month on your own infrastructure | Per-core term licensing (NCI) plus hardware | | Best for | Cloud-first teams spanning providers and on-prem | Datacenter-first estates and private cloud | ## Which fits your scenario **Control Plane fits: a company consolidating out of the datacenter.** The hardware refresh is due, the team is tired of hypervisor upgrades, and half the workloads are already containerized. Control Plane runs the containers and the remaining VMs across public clouds and any servers worth keeping, as one platform, while the datacenter footprint winds down on its own schedule. **Nutanix fits: an estate that cannot leave the building.** Regulated data with hard residency rules, specialized hardware, or an air-gapped network. If the requirement is a private cloud on your own metal, Nutanix is built for exactly that, and pretending a cloud platform replaces it would be wrong. **Often it is both.** The anchored systems stay on Nutanix; the spiky, customer-facing services move to Control Plane across clouds. The two meet where your network does. ## Frequently asked questions - Is Control Plane a Nutanix alternative? For workloads moving to the cloud, yes. Both put one surface over fragmented infrastructure, but Nutanix does it for hardware you own, while Control Plane does it for clouds plus your own servers, without you operating a hypervisor stack. For a datacenter that must stay a datacenter, Nutanix remains the purpose-built answer. - Can Control Plane run virtual machines like Nutanix? Yes. Control Plane runs full Linux and Windows VMs alongside containers as first-class workload types, in your own cloud accounts or on your own servers. What it does not do is manage bare-metal hypervisor hosts the way AHV does. - Can my on-prem servers be part of Control Plane? Yes. Any SSH-accessible Linux server with internet egress joins a Control Plane Managed Kubernetes cluster via a join script, and that cluster becomes a location of your virtual cloud, alongside AWS, GCP, and Azure. You keep the hardware; you stop hand-operating the platform on top of it. - When is Nutanix the better choice? When the estate is anchored in your own datacenter: air-gapped networks, specialized hardware, VDI at scale, or storage policies that live below the operating system. Control Plane targets teams whose workloads are in, or headed to, the cloud. ## Ready to virtualize the cloud instead? Run your containers and VMs across AWS, GCP, Azure, and your own servers as one virtual cloud, with no hypervisor to operate. Test it on one real workload. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) --- # Control Plane vs Rancher: Managing Clusters vs Not Having Any (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-rancher [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Rancher Comparison # Control Plane vs Rancher 4 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated August 6, 2026First published August 6, 2026 ## Summary Choose Control Plane to stop operating Kubernetes: workloads deploy to one virtual cloud across AWS, GCP, Azure, and on-prem, and the platform runs the clusters, networking, and identity underneath. Choose Rancher to keep operating your own clusters, but from one console. Short version: Rancher manages the fleet; Control Plane retires it. | At a glance | Control Plane | Rancher | | --- | --- | --- | | Runs across clouds | ●●●●● | ●●●●● | | Clusters you operate | None | Every one of them | | Workload-level abstraction | ✓ Yes | Per cluster; Fleet GitOps across clusters | | Scale-to-zero | ✓ Yes | Per-cluster tooling | | Compliance built in | PCI DSS L1, SOC 2, HIPAA | Hardening guides; yours to certify | Rancher answers a real question: how does one team run twenty Kubernetes clusters without losing its mind? One console provisions RKE2, K3s, and hosted EKS, AKS, and GKE clusters, imports any existing cluster, and centralizes access and policy. Control Plane asks the prior question: why does your team own twenty clusters at all? Workloads deploy to a Global Virtual Cloud; hardened clusters, networking, identity, and observability are the platform's job, across AWS, GCP, Azure, and your own servers. ## The core difference: a better cockpit vs no plane to fly With Rancher, Kubernetes stays your operational surface. You still create clusters, patch nodes, plan upgrades, chase version skew, and staff the on-call rotation. Rancher just makes all of that dramatically more organized. For teams whose product is running clusters, that organization is the whole point. With Control Plane, the cluster stops being your surface. You work with an Org, a virtual cloud, and Workloads; the platform runs the Kubernetes underneath, keeps mTLS between services, brokers cloud credentials through Universal Cloud Identity, and scales workloads down to zero when idle. Your existing clusters can join as substrates too; they become regions of the virtual cloud rather than another pane of glass. ## Which one should you pick? ### Choose Control Plane if... - You want your engineers shipping applications, not operating cluster fleets. - You want one workload model across clouds and on-prem, with networking and identity handled. - You want scale-to-zero and automatic right-sizing to cut compute spend. - You need platform-level compliance: PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR. ### Choose Rancher if... - Operating Kubernetes is genuinely your team's job, and you want the best cockpit for it. - You need deep, cluster-level control: CNIs, node pools, custom operators everywhere. - You run edge fleets on K3s where a tiny self-managed footprint is the requirement. - Open source and self-hosting the management plane matter more than shedding operations. ## Control Plane vs Rancher, side by side | Dimension | Control Plane | Rancher | | --- | --- | --- | | What it is | A cloud virtualization platform you deploy workloads to | A management plane for Kubernetes clusters you run | | What you operate | Nothing underneath: no clusters | Every cluster: nodes, upgrades, versions | | Unit you work with | Workloads on one virtual cloud | Clusters, then workloads per cluster | | Multi-cloud + on-prem | One layer, one network and identity model | Many clusters across clouds, centrally managed | | Workload types | Containers, VMs, serverless, cron, stateful | Whatever each cluster runs (containers; VMs via Harvester) | | Scaling | Autoscaling, scale-to-zero, Capacity AI right-sizing | Per-cluster autoscalers you configure | | Identity to cloud services | Universal Cloud Identity, no embedded credentials | Per-cluster / per-cloud IAM you wire up | | Compliance | PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR | CIS hardening guides and CIS/STIG/BSI compliance scans; certification is yours | | Best for | Teams who want out of cluster operations | Teams whose job is cluster operations | ## Which fits your scenario **Control Plane fits: a platform team of three drowning in a fleet of nine clusters.** Three clouds, three environments each, every upgrade a project. Moving workloads to Control Plane collapses nine operational surfaces into one virtual cloud, and the three engineers go back to building the platform features their developers actually asked for. **Rancher fits: an organization whose product includes running Kubernetes.** A managed-services provider, an edge fleet on K3s in hundreds of locations, or a team with hard requirements on specific CNIs and operators. They need cluster-level control, and Rancher is the best way to hold it all. ## Frequently asked questions - Is Control Plane a Rancher alternative? If the goal is escaping cluster operations, yes: Control Plane removes the cluster as something you own, rather than making it easier to own. If the goal is managing clusters you intend to keep operating, Rancher is the tool for that job. - Do I have to manage Kubernetes to use Control Plane? No. Control Plane is built on Kubernetes but you never patch a node, plan a cluster upgrade, or write a Kubernetes manifest. You deploy Workloads (UI, CLI, YAML, Terraform, or Pulumi); the platform operates the clusters underneath across AWS, GCP, and Azure, and on your own servers through Managed Kubernetes or BYOK. - Can Control Plane use clusters I already have? Yes. Bring Your Own Kubernetes turns an existing cluster (including ones Rancher provisioned) into a substrate of your virtual cloud, so workloads deploy to it through the same interface, identity, and network model as everywhere else. - When is Rancher the better choice? When cluster-level control is the requirement: custom CNIs and operators on every cluster, K3s edge fleets, or a mandate to self-host the entire stack as open source. Control Plane trades that level of infrastructure control for not doing infrastructure operations at all. ## Done managing cluster fleets? Deploy workloads to one virtual cloud across AWS, GCP, Azure, and on-prem. The clusters, networking, and identity underneath are the platform's problem. Test it on one real workload. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) --- # Control Plane vs Qovery: DevOps Automation vs a Virtual Cloud (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-qovery [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Qovery Comparison # Control Plane vs Qovery 4 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated August 6, 2026First published August 6, 2026 ## Summary Choose Control Plane for a platform that spans clouds and on-prem as one virtual cloud, with identity, networking, VMs, scale-to-zero, and enterprise compliance built in. Choose Qovery to add developer-friendly deployment automation and preview environments to a cloud account you already operate. Short version: Qovery automates your cloud; Control Plane virtualizes it. | At a glance | Control Plane | Qovery | | --- | --- | --- | | Runs across clouds | ●●●●● | ●●●●● | | Can run in your account | ✓ Yes | ✓ Yes | | Underlying cluster ops | Platform's job | Qovery-managed, in your account (yours with BYOK) | | VM workloads | ✓ Yes | ✗ No | | Compliance built in | PCI DSS L1, SOC 2, HIPAA | SOC 2 Type II; HIPAA BAA (Business+) | Qovery and Control Plane both run workloads in your own cloud accounts, which makes them easy to confuse and quite different in practice. Qovery is a deployment layer: it automates environments, previews, and deploys on infrastructure that stays in an account you own. Control Plane is a cloud virtualization platform: it turns AWS, GCP, Azure, Kubernetes, and on-prem servers into one virtual cloud, and the infrastructure underneath stops being your problem. ## The core difference: a layer on your cloud vs a cloud of your own Qovery's pitch is developer experience on your own account: connect a repo, get environments and ephemeral previews, keep the cloud bill and the data where they already live. It is a strong answer for a team on one primary cloud that wants Heroku-style flow without leaving its account. Qovery provisions and upgrades the cluster for you; the account, its network posture, and the rest of the operational surface are still yours. Control Plane goes a layer deeper. Workloads deploy to a Global Virtual Cloud that can span several providers and your own hardware at once, with one network model, mTLS between services, credential-free access to native cloud services through Universal Cloud Identity, full Linux and Windows VMs beside containers, and scale-to-zero with Capacity AI right-sizing. Compliance (PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR) comes with the platform rather than the to-do list. ## Which one should you pick? ### Choose Control Plane if... - You need one platform across several clouds and on-prem, not automation on one account. - You run VMs as well as containers, or regulated workloads with hard compliance requirements. - You want networking, identity, and observability handled, not configured. - Cost control matters: scale-to-zero and automatic right-sizing, billed on consumption. ### Choose Qovery if... - You live on one primary cloud and want better deploy flow inside it. - Ephemeral preview environments per pull request are the headline feature you need. - You want to keep operating your own account and simply automate the repetitive parts. - Your compliance posture is already handled at the account level. ## Control Plane vs Qovery, side by side 58 capabilities, scored from each vendor's public documentation with the same rules applied to both columns. Hover a capability for what it measures, or a verdict for the reason behind it. | Capability | Control Plane | Qovery | | --- | --- | --- | | Workload placement & topology | | | | Can one logical environment span two different cloud providers at once? | YYes | NNo | | Number of publicly published regions or locations | YYes | — | | Can you attach your own Kubernetes cluster as a managed target? | YYes | YYes | | Automatic failover of a running workload to another location | YYes | NNo | | Fine-grained traffic steering across locations (priority, latency bias) | YYes | NNo | | Getting to first deploy | | | | Git push to a branch triggers build and deploy with no external CI | YYes | YYes | | Built-in image builder (no Dockerfile required) | YYes | YYes | | Named framework guides (Next.js, Django, Rails, Laravel…) | PPartial | NNo | | One-click template or app catalog | YYes | PPartial | | Documented free tier | YYes | PPartial | | Local development story (emulator, local run, tunnel) | PPartial | YYes | | Migration in | | | | Import from an existing platform (Heroku, compose, Kubernetes manifests) | YYes | PPartial | | Scaling & efficiency | | | | Metric-driven horizontal autoscaling | YYes | PPartial | | Automatic vertical resizing of a running workload | YYes | NNo | | Scale to zero with automatic wake | YYes | PPartial | | Published cold-start or wake latency figures | NNo | NNo | | Spot or preemptible instance support | PPartial | YYes | | Networking & edge | | | | First-party CDN or edge caching | NNo | NNo | | First-party managed WAF | NNo | NNo | | Egress control: restrict which destinations a workload may reach | YYes | NNo | | Private connectivity into a customer VPC or on-prem network | YYes | NNo | | Encrypted service-to-service networking as a platform default | YYes | PPartial | | Application-layer request authentication at the edge | YYes | PPartial | | Static IP addresses for inbound or outbound traffic | YYes | YYes | | Storage & data services | | | | Managed relational or key-value databases as a first-party product | YYes | YYes | | Persistent volumes attachable to a scaled-out workload | YYes | PPartial | | Automatic volume growth before capacity is exhausted | YYes | NNo | | Backup and restore with scheduled retention | PPartial | PPartial | | Static site hosting as a first-class product | NNo | NNo | | First-class background jobs, queues and cron | PPartial | YYes | | Identity & secrets | | | | How a workload authenticates to external cloud services | YYes | PPartial | | Secrets management with access control on retrieval | YYes | YYes | | Role-based access control granularity | YYes | YYes | | Audit trail of platform changes | YYes | PPartial | | Third-party compliance certifications | YYes | PPartial | | Multi-tenancy for the customer's own end customers | PPartial | NNo | | Operations & observability | | | | Metrics with a queryable interface | YYes | PPartial | | Distributed tracing | YYes | NNo | | Managed log export to third-party destinations | YYes | PPartial | | Default log retention | YYes | YYes | | Built-in alerting with notification channels | YYes | PPartial | | Shell, file copy and port-forward into a running workload | YYes | YYes | | Progressive delivery: weighted traffic between versions | YYes | NNo | | Ephemeral preview environment per pull request | YYes | YYes | | Automation & extensibility | | | | First-party infrastructure-as-code provider (Terraform or equivalent) | YYes | YYes | | Complete public API reference | YYes | YYes | | MCP server for AI-agent operation of the platform | YYes | YYes | | Machine-readable documentation (llms.txt, per-page markdown) | YYes | YYes | | Ephemeral sandboxes for running untrusted or AI-generated code | YYes | NNo | | Core product available as open source | NNo | PPartial | | Specialized compute | | | | Run full virtual machines, not just containers | YYes | NNo | | Run GPU workloads alongside standard services | YYes | PPartial | | Commercial terms | | | | Published compute and memory unit prices | NNo | NNo | | Published uptime SLA with a number | YYes | YYes | | Documented path to migrate off the platform | PPartial | YYes | | Public community channel | PPartial | YYes | | Named reference customers published | PPartial | YYes | | Vendor continuity risk signals | PPartial | PPartial | Scored from public documentation as of September 2026. “No” means not documented, not necessarily absent; breadth is not a quality ranking, and specialists doing one thing well score narrow by design. ## Which fits your scenario **Control Plane fits: a fintech spanning AWS and Azure with a PCI audit on the calendar.** The workloads need specific accounts and regions, credential-free access to services in both clouds, and a paper trail an auditor will accept. That is platform work Qovery leaves with you and Control Plane ships as the product. **Qovery fits: a product team on AWS that wants previews and cleaner deploys.** One cloud, containers, an ops setup that basically works, just too much friction per deploy. A layer that automates environments in the account you already run is the shortest path, and Qovery does it well. ## Frequently asked questions - Is Control Plane a Qovery alternative? They overlap on running workloads in your own cloud account, but at different depths. Qovery automates deployments on infrastructure you operate; Control Plane virtualizes the infrastructure itself: clusters, networking, identity, and compliance become the platform's job, across clouds and on-prem at once. - Does Control Plane support preview environments? Workloads and virtual clouds are created through the API, CLI, or Terraform, so CI can stand up and tear down per-branch environments, and scale-to-zero means idle previews cost nothing while they wait. Qovery's git-integrated preview flow is more turnkey; if that is the headline requirement, it is a fair reason to pick Qovery. - Do I have to manage Kubernetes with Control Plane? No. You never operate a cluster, patch a node, or write manifests, including when workloads run in your own accounts or on your own servers. Qovery-managed clusters also spare you upgrades; the structural difference is that Control Plane does it across clouds and on-prem as one layer, with networking, identity, and compliance included. - When is Qovery the better choice? A single primary cloud, container-only workloads, compliance already handled, and the pain concentrated in deploy flow rather than infrastructure. In that shape, an automation layer is the right size of solution. ## Need more than deploy automation? Compose AWS, GCP, Azure, and your own servers into one virtual cloud with identity, networking, compliance, and scale-to-zero included. Test it on one real workload. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) --- # Control Plane vs Coolify: Self-Hosted PaaS vs an Operated Virtual Cloud (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-coolify [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Coolify Comparison # Control Plane vs Coolify 4 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated August 6, 2026First published August 6, 2026 ## Summary Choose Control Plane for production workloads that need multi-region failover, compliance, and a platform someone else operates, across clouds and your own servers as one virtual cloud. Choose Coolify to self-host a free, open-source PaaS on a server you're happy to maintain. Short version: Coolify is a PaaS you run; Control Plane is a cloud that runs for you. | At a glance | Control Plane | Coolify | | --- | --- | --- | | Runs across clouds | ●●●●● | ●●●●● | | Who operates the platform | Control Plane | You (Coolify Cloud runs the dashboard; servers stay yours) | | Multi-region failover | ✓ Yes | ✗ No | | Scale-to-zero | ✓ Yes | ✗ No | | Compliance built in | PCI DSS L1, SOC 2, HIPAA | Yours to build | Coolify has earned its following honestly: an open-source PaaS you install on your own server, deploy to from git, and pay nothing for. For side projects and small apps it is hard to argue with. Control Plane plays a different game: an operated platform that composes clouds, Kubernetes, and your servers into one virtual cloud, with the reliability engineering, identity, and compliance that production businesses get audited on. ## The core difference: who carries the pager Self-hosting a PaaS means the PaaS is now one of your workloads. Disk pressure, OS patches, uptime, the Coolify instance itself, the server underneath it: yours. Coolify keeps that surface admirably small, and for one server running a handful of apps, small is enough. The economics are unbeatable right up until an outage costs more than the hosting saved. Control Plane inverts the deal. The platform is operated for you (hardened clusters, one network with mTLS, geo-routed TLS with priority failover, logs and metrics collected, PCI DSS Level 1 and SOC 2 Type II certified) and your own servers can still be part of it, joined as regions beside AWS, GCP, and Azure. You keep the hardware affinity. You lose the 2am part. ## Which one should you pick? ### Choose Control Plane if... - Downtime, data loss, or a failed audit would genuinely hurt the business. - You need multi-region or multi-cloud, with failover that happens without you. - You want scale-to-zero and right-sizing instead of a server that idles all night. - You want your own servers in the platform without being the platform team. ### Choose Coolify if... - It's a side project, internal tool, or early prototype and cost is the constraint. - You enjoy running your own server and the stakes allow it. - Open source and full self-hosting are hard requirements. - One VPS worth of capacity is honestly all the app needs. ## Control Plane vs Coolify, side by side | Dimension | Control Plane | Coolify | | --- | --- | --- | | What it is | An operated virtual cloud across providers and servers | A self-hosted open-source PaaS | | Who operates it | Control Plane, with humans on call | You | | Where apps run | Managed compute, your cloud accounts, or your servers | Any Linux servers you connect over SSH | | Workload types | Containers, VMs, serverless, cron, stateful | Containers via Docker: apps, databases, one-click services, Compose | | Availability | Multi-region, geo-routed TLS, priority failover | Per-server; multi-server and Swarm are experimental, no built-in failover or cross-server routing | | Scaling | Autoscaling, scale-to-zero, Capacity AI right-sizing | Fixed to your server's capacity | | Compliance | PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR | Whatever you build and certify | | Cost model | Consumption on managed compute; flat per-core on your own infra | Free self-hosted (Apache 2.0) or Coolify Cloud from $5/mo, plus your servers and your time | | Best for | Production and regulated workloads | Side projects, internal tools, budget-first setups | ## Which fits your scenario **Control Plane fits: the side project that became the business.** What ran happily on one VPS now has paying customers, an enterprise prospect asking about SOC 2, and a founder who has personally restarted the server from a beach. Moving the containers to Control Plane gets failover, compliance, and sleep, and the old server can join the virtual cloud as a region instead of retiring. **Coolify fits: the tinkerer's stack.** A homelab, a handful of internal tools, a prototype whose whole hosting budget is one Hetzner box. Self-hosting is part of the fun and none of the risk matters. That is exactly the job Coolify was built for, and it does it well. ## Frequently asked questions - Is Control Plane a Coolify alternative? For production workloads, yes. It is the step up when self-hosting stops being worth the risk: an operated platform with multi-region failover, built-in compliance, and no server for you to maintain. For hobby projects, Coolify's price of free is a feature Control Plane doesn't compete with. - Can I still use my own server with Control Plane? Yes. An SSH-accessible Linux server joins your virtual cloud via a join script and runs workloads beside AWS, GCP, and Azure regions: same deploys, same network, same identity. You keep the cheap hardware without being its platform team. - Is Control Plane free to start? You can sign up free with no cloud accounts required, and idle workloads scale to zero. It is not free software you self-host; the product is precisely that you don't. - When is Coolify the better choice? When the workload is low-stakes and the budget is the whole story: side projects, internal tools, prototypes. If an outage means annoyance rather than revenue, self-hosting is a perfectly rational trade. ## Outgrown the server you babysit? Keep the hardware if you like it. Join it to a virtual cloud with failover, compliance, and scale-to-zero, operated by people whose pager it is. Test it on one real workload. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) --- # Control Plane vs HashiCorp Nomad: An Orchestrator vs a Whole Platform (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-nomad [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs HashiCorp Nomad Comparison # Control Plane vs HashiCorp Nomad 4 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated August 6, 2026First published August 6, 2026 ## Summary Choose Control Plane for a finished platform: workloads deploy to one virtual cloud across AWS, GCP, Azure, and on-prem, with identity, networking, TLS, observability, and compliance included. Choose Nomad for a lean, flexible orchestrator you build your own platform around. Short version: Nomad is the scheduler; Control Plane is the whole cloud. | At a glance | Control Plane | Nomad | | --- | --- | --- | | Runs across clouds | ●●●●● | ●●●●● | | What you operate | Nothing underneath | Servers, clients, the stack around them | | Networking & identity included | ✓ Yes | Assemble (Consul, Vault) | | Scale-to-zero | ✓ Yes | Via Autoscaler, min = 0 | | Compliance built in | PCI DSS L1, SOC 2, HIPAA | Yours to build | Nomad's appeal is real: a single binary that schedules containers, JVM apps, and raw executables with a fraction of Kubernetes' ceremony. Operators love it for good reasons. But Nomad is deliberately just the orchestrator: networking, secrets, identity, ingress, observability, and the servers it all runs on are your project to assemble and operate. Control Plane starts where that project ends: a virtual cloud across AWS, GCP, Azure, and your own hardware, with the platform parts already built. ## The core difference: build the platform, or deploy to one A production Nomad estate is rarely just Nomad. It is Nomad plus Consul for service networking, Vault for secrets beyond Nomad's built-in variables, load balancers, TLS automation, log shipping, metrics, and the fleet of servers and clients underneath, each piece yours to run and upgrade, with audit logging, multi-region deployments, and dynamic application sizing gated to Nomad Enterprise. Teams with strong operators get real flexibility out of that. It is also a standing engineering commitment that never ships a customer feature. Control Plane ships the assembled outcome: deploy a workload once and it runs across the regions and clouds you choose, on a network with mTLS between services, deny-by-default firewalls, geo-routed TLS with failover, secrets injected at runtime, logs and metrics collected, and credential-free access to native cloud services through Universal Cloud Identity. Containers and full VMs, scaled to demand and down to zero. ## Which one should you pick? ### Choose Control Plane if... - You want the platform finished, not a set of excellent parts. - You need one surface across clouds and on-prem with identity and networking handled. - You want scale-to-zero and automatic right-sizing without building the machinery. - Compliance needs to come with the platform: PCI DSS Level 1, SOC 2, HIPAA, GDPR. ### Choose Nomad if... - You have strong operators who want scheduler-level control and minimal abstraction. - You schedule things containers don't cover well: raw binaries, batch fleets, exotic drivers. - You're already invested in Consul and Vault and the stack is paying for itself. - Running infrastructure on your own metal, your way, is the actual requirement. ## Control Plane vs Nomad, side by side | Dimension | Control Plane | Nomad | | --- | --- | --- | | What it is | An operated virtual cloud across providers | A scheduler you build a platform around | | What you operate | Nothing underneath | Servers, clients, plus Consul/Vault and friends | | Networking | One network model, mTLS, deny-by-default firewalls | Assemble: Consul, load balancers, TLS | | Identity to cloud services | Universal Cloud Identity, no embedded credentials | Nomad workload identity federated per cloud via OIDC, or Vault | | Workload types | Containers, VMs, serverless, cron, stateful | Containers, executables, JVM, QEMU/Virt VMs via drivers | | Scaling | Autoscaling, scale-to-zero, Capacity AI | Autoscaler you configure; no scale-to-zero | | Observability | Logs, metrics, tracing collected; Grafana ready | Ship and stitch your own stack | | Compliance | PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR | Yours to build and certify | | Best for | Teams who want out of platform engineering | Operator teams who want full control | ## Which fits your scenario **Control Plane fits: a team whose Nomad stack outlived its builders.** The engineers who wired Nomad, Consul, and Vault together have moved on, upgrades are overdue, and an audit is asking questions nobody wants to own. Moving the workloads to Control Plane trades a bespoke platform for an operated one: same containers, same own-account placement, none of the assembly. **Nomad fits: an operator-led shop scheduling more than containers.** Batch fleets of raw binaries on owned metal, a team that reads scheduler internals for fun, and requirements that reward that level of control. Nomad's simplicity at the scheduler layer is the point there. ## Frequently asked questions - Is Control Plane a Nomad alternative? For teams using Nomad to run services, yes, with the difference that Control Plane replaces the whole assembled stack, not just the scheduler. Networking, identity, secrets, TLS, observability, and the machines underneath stop being separate projects. - Can Control Plane run non-container workloads like Nomad does? Control Plane runs containers and full Linux and Windows VMs as first-class workload types, and a VM covers most things people reach for Nomad's exec drivers to do. If your fleet is raw binaries on bare metal with custom drivers, Nomad remains the more direct tool. - Do I still need Consul and Vault with Control Plane? No. Service-to-service networking with mTLS, deny-by-default firewalls, built-in secrets injected at runtime, and Universal Cloud Identity for cloud services are part of the platform. - When is Nomad the better choice? When scheduler-level control on your own infrastructure is the requirement and you have the operators to own it, especially for non-container workloads at scale. Control Plane optimizes for not doing that work; Nomad optimizes for doing it your way. ## Want the platform without the assembly? Deploy containers and VMs to one virtual cloud across AWS, GCP, Azure, and on-prem, with networking, identity, secrets, and observability included. Test it on one real workload. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) --- # Control Plane vs Porter: PaaS in Your Account vs a Multi-Cloud Virtual Cloud (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-porter [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Porter Comparison # Control Plane vs Porter 4 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated August 6, 2026First published August 6, 2026 ## Summary Choose Control Plane to run containers and VMs across several clouds and your own servers as one virtual cloud, with identity, networking, and compliance built in. Choose Porter for a git-push PaaS experience inside the single cloud account you already run. Short version: Porter is Heroku in your account; Control Plane is a cloud of your own. | At a glance | Control Plane | Porter | | --- | --- | --- | | Runs across clouds | ●●●●● | ●●●●● | | Can run in your account | ✓ Yes | ✓ Yes | | One layer spanning clouds + on-prem | ✓ Yes | ✗ No | | VM workloads | ✓ Yes | ✗ No | | Compliance built in | PCI DSS L1, SOC 2, HIPAA | SOC 2 Type II; one-click SOC 2/HIPAA infra controls (AWS) | Porter and Control Plane agree on the premise (your workloads belong in infrastructure you control, without a platform team to run it) and diverge on scope. Porter installs a Heroku-style developer experience into your own AWS, GCP, or Azure account, one cloud at a time, on managed Kubernetes it provisions for you. Control Plane virtualizes the clouds themselves: several providers and your own servers become one virtual cloud, with one deploy, one identity model, and one network. ## The core difference: your account, upgraded, or your clouds, unified Porter's sweet spot is a team on one primary cloud that wants git-push deploys without leaving its own account. Porter stands up and manages the cluster in your account, wires the deploy flow, and stays out of the way. The scope is deliberately one account on one cloud; the cloud's own boundaries remain your boundaries. Control Plane treats the account as one substrate among several. A workload deploys once and runs in the regions you choose across AWS, GCP, Azure, and on-prem, reaching each cloud's native services credential-free through patented Universal Cloud Identity. Full VMs run beside containers, Capacity AI right-sizes everything, idle workloads scale to zero, and PCI DSS Level 1, SOC 2 Type II, HIPAA, and GDPR come with the platform. ## Which one should you pick? ### Choose Control Plane if... - You span, or will span, more than one cloud, or clouds plus your own hardware. - You need VMs as first-class workloads next to containers. - You want credential-free access to native services in every cloud, not one. - Regulated workloads need platform-level compliance, including PCI DSS Level 1. ### Choose Porter if... - One cloud account is your world and you want it to feel like Heroku. - Git-push, build-from-source deploys are the experience your team wants. - Containers cover everything you run. - You'd rather adopt a lighter layer inside the account than a platform above it. ## Control Plane vs Porter, side by side 58 capabilities, scored from each vendor's public documentation with the same rules applied to both columns. Hover a capability for what it measures, or a verdict for the reason behind it. | Capability | Control Plane | Porter | | --- | --- | --- | | Workload placement & topology | | | | Can one logical environment span two different cloud providers at once? | YYes | NNo | | Number of publicly published regions or locations | YYes | — | | Can you attach your own Kubernetes cluster as a managed target? | YYes | NNo | | Automatic failover of a running workload to another location | YYes | NNo | | Fine-grained traffic steering across locations (priority, latency bias) | YYes | NNo | | Getting to first deploy | | | | Git push to a branch triggers build and deploy with no external CI | YYes | PPartial | | Built-in image builder (no Dockerfile required) | YYes | YYes | | Named framework guides (Next.js, Django, Rails, Laravel…) | PPartial | NNo | | One-click template or app catalog | YYes | PPartial | | Documented free tier | YYes | PPartial | | Local development story (emulator, local run, tunnel) | PPartial | NNo | | Migration in | | | | Import from an existing platform (Heroku, compose, Kubernetes manifests) | YYes | PPartial | | Scaling & efficiency | | | | Metric-driven horizontal autoscaling | YYes | YYes | | Automatic vertical resizing of a running workload | YYes | NNo | | Scale to zero with automatic wake | YYes | NNo | | Published cold-start or wake latency figures | NNo | NNo | | Spot or preemptible instance support | PPartial | NNo | | Networking & edge | | | | First-party CDN or edge caching | NNo | NNo | | First-party managed WAF | NNo | NNo | | Egress control: restrict which destinations a workload may reach | YYes | NNo | | Private connectivity into a customer VPC or on-prem network | YYes | PPartial | | Encrypted service-to-service networking as a platform default | YYes | PPartial | | Application-layer request authentication at the edge | YYes | NNo | | Static IP addresses for inbound or outbound traffic | YYes | PPartial | | Storage & data services | | | | Managed relational or key-value databases as a first-party product | YYes | PPartial | | Persistent volumes attachable to a scaled-out workload | YYes | PPartial | | Automatic volume growth before capacity is exhausted | YYes | NNo | | Backup and restore with scheduled retention | PPartial | PPartial | | Static site hosting as a first-class product | NNo | NNo | | First-class background jobs, queues and cron | PPartial | YYes | | Identity & secrets | | | | How a workload authenticates to external cloud services | YYes | PPartial | | Secrets management with access control on retrieval | YYes | PPartial | | Role-based access control granularity | YYes | NNo | | Audit trail of platform changes | YYes | PPartial | | Third-party compliance certifications | YYes | PPartial | | Multi-tenancy for the customer's own end customers | PPartial | NNo | | Operations & observability | | | | Metrics with a queryable interface | YYes | PPartial | | Distributed tracing | YYes | NNo | | Managed log export to third-party destinations | YYes | PPartial | | Default log retention | YYes | PPartial | | Built-in alerting with notification channels | YYes | PPartial | | Shell, file copy and port-forward into a running workload | YYes | PPartial | | Progressive delivery: weighted traffic between versions | YYes | NNo | | Ephemeral preview environment per pull request | YYes | YYes | | Automation & extensibility | | | | First-party infrastructure-as-code provider (Terraform or equivalent) | YYes | NNo | | Complete public API reference | YYes | NNo | | MCP server for AI-agent operation of the platform | YYes | NNo | | Machine-readable documentation (llms.txt, per-page markdown) | YYes | YYes | | Ephemeral sandboxes for running untrusted or AI-generated code | YYes | PPartial | | Core product available as open source | NNo | PPartial | | Specialized compute | | | | Run full virtual machines, not just containers | YYes | NNo | | Run GPU workloads alongside standard services | YYes | PPartial | | Commercial terms | | | | Published compute and memory unit prices | NNo | YYes | | Published uptime SLA with a number | YYes | NNo | | Documented path to migrate off the platform | PPartial | PPartial | | Public community channel | PPartial | NNo | | Named reference customers published | PPartial | YYes | | Vendor continuity risk signals | PPartial | PPartial | Scored from public documentation as of September 2026. “No” means not documented, not necessarily absent; breadth is not a quality ranking, and specialists doing one thing well score narrow by design. ## Which fits your scenario **Control Plane fits: a company an enterprise deal just made multi-cloud.** The product runs in AWS; the new customer requires Azure in Frankfurt with data residency and a PCI report. On Control Plane that is a new region of the same virtual cloud and the same deploy, not a second platform built from scratch in a second account. **Porter fits: a startup all-in on one cloud that misses Heroku.** The AWS account exists, the credits are real, and the team wants push-to-deploy without handing the app to a vendor's infrastructure. A PaaS installed into that account is the right-sized answer. ## Frequently asked questions - Is Control Plane a Porter alternative? Both run workloads in infrastructure you control without you operating Kubernetes. The difference is scope: Porter upgrades one cloud account; Control Plane composes several clouds and your own servers into one virtual cloud with a shared identity and network model. - Does Control Plane support git-push deploys like Porter? Not push-to-deploy on a branch. The CLI can build from source (cpln image build, locally or remotely, including straight from a GitHub or GitLab repo), and workloads deploy through the CLI, Terraform, Pulumi, the API, or the UI, which fits CI/CD pipelines and keeps deploys portable. If build-from-source git-push is the experience you want, that is a fair point for Porter. - Do I have to manage Kubernetes with either? No in both cases, with different owners. Porter manages a cluster inside your account; Control Plane operates hardened clusters across its managed regions, your accounts, and your servers, and you never touch any of them. - When is Porter the better choice? A single cloud account, container-only workloads, and a team whose main want is Heroku-style flow in infrastructure they own. If multi-cloud, VMs, or PCI-level compliance never enter the picture, the lighter layer is the simpler buy. ## Thinking bigger than one account? Compose AWS, GCP, Azure, and your own servers into one virtual cloud: same deploy, same identity, same audit trail everywhere. Test it on one real workload. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) --- # Control Plane vs Koyeb: Serverless on Their Cloud vs a Virtual Cloud of Yours (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-koyeb [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Koyeb Comparison # Control Plane vs Koyeb 4 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated August 6, 2026First published August 6, 2026 ## Summary Choose Control Plane when where your workloads run matters: your accounts, your regions, several clouds and your own hardware as one virtual cloud, with enterprise compliance. Choose Koyeb for fast serverless deploys of containers (GPUs included) on infrastructure Koyeb runs. Short version: Koyeb hosts you on its cloud; Control Plane composes yours. | At a glance | Control Plane | Koyeb | | --- | --- | --- | | Runs across clouds | ●●●●● | ●●●●● | | Can run in your account | ✓ Yes | Enterprise only (BYOC on request) | | Scale-to-zero | ✓ Yes | ✓ Yes | | VM workloads | ✓ Yes | ✗ No | | Compliance built in | PCI DSS L1, SOC 2, HIPAA | ISO 27001, SOC 2 (Enterprise) | Koyeb does the serverless-container pitch well: push a container or connect a repo, and it runs across Koyeb's global infrastructure with scale-to-zero and GPU options. If you don't care where your workloads live, that is genuinely convenient. Control Plane is for when you do care: because the audit says your accounts, the customer says Frankfurt, or the architecture spans AWS, GCP, Azure, and a rack of your own GPUs. It composes all of that into one virtual cloud you deploy to like a single platform. ## The core difference: whose infrastructure answers the audit On Koyeb, the infrastructure is Koyeb's unless you negotiate Enterprise bring-your-own-cloud or custom regions. That is the source of its simplicity, and of its ceiling. Placement means choosing among Koyeb's locations; compliance means whatever Koyeb's platform posture gives you (ISO 27001 and SOC 2 on the Enterprise plan; no HIPAA or PCI documented); native AWS or GCP services sit outside the walls, reached with credentials you manage. For straightforward apps and inference endpoints, none of that may matter. On Control Plane, the infrastructure is whatever you choose to compose: managed regions by default, your own AWS, GCP, or Azure accounts, neoclouds, Kubernetes clusters, or SSH-reachable servers. Workloads (containers and full VMs) get one network with mTLS, credential-free access to 600+ native cloud services through Universal Cloud Identity, scale-to-zero with Capacity AI right-sizing, and a compliance posture (PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR) that survives an enterprise procurement review. ## Which one should you pick? ### Choose Control Plane if... - Workloads must run in specific accounts, regions, or your own hardware. - You depend on native cloud services and want them credential-free. - You need VMs beside containers, or regulated-grade compliance. - You're composing several providers (including GPU neoclouds) into one platform. ### Choose Koyeb if... - You want the fastest path from container to global URL and don't need to own where it runs. - Serverless GPUs for inference on someone else's infrastructure fit the bill. - ISO 27001 and SOC 2 on Koyeb's Enterprise plan cover your compliance requirements. - The app is self-contained and light on native cloud service dependencies. ## Control Plane vs Koyeb, side by side 58 capabilities, scored from each vendor's public documentation with the same rules applied to both columns. Hover a capability for what it measures, or a verdict for the reason behind it. | Capability | Control Plane | Koyeb | | --- | --- | --- | | Workload placement & topology | | | | Can one logical environment span two different cloud providers at once? | YYes | NNo | | Number of publicly published regions or locations | YYes | YYes | | Can you attach your own Kubernetes cluster as a managed target? | YYes | NNo | | Automatic failover of a running workload to another location | YYes | PPartial | | Fine-grained traffic steering across locations (priority, latency bias) | YYes | NNo | | Getting to first deploy | | | | Git push to a branch triggers build and deploy with no external CI | YYes | PPartial | | Built-in image builder (no Dockerfile required) | YYes | YYes | | Named framework guides (Next.js, Django, Rails, Laravel…) | PPartial | YYes | | One-click template or app catalog | YYes | YYes | | Documented free tier | YYes | NNo | | Local development story (emulator, local run, tunnel) | PPartial | NNo | | Migration in | | | | Import from an existing platform (Heroku, compose, Kubernetes manifests) | YYes | NNo | | Scaling & efficiency | | | | Metric-driven horizontal autoscaling | YYes | YYes | | Automatic vertical resizing of a running workload | YYes | NNo | | Scale to zero with automatic wake | YYes | YYes | | Published cold-start or wake latency figures | NNo | YYes | | Spot or preemptible instance support | PPartial | NNo | | Networking & edge | | | | First-party CDN or edge caching | NNo | PPartial | | First-party managed WAF | NNo | NNo | | Egress control: restrict which destinations a workload may reach | YYes | NNo | | Private connectivity into a customer VPC or on-prem network | YYes | NNo | | Encrypted service-to-service networking as a platform default | YYes | NNo | | Application-layer request authentication at the edge | YYes | NNo | | Static IP addresses for inbound or outbound traffic | YYes | PPartial | | Storage & data services | | | | Managed relational or key-value databases as a first-party product | YYes | PPartial | | Persistent volumes attachable to a scaled-out workload | YYes | PPartial | | Automatic volume growth before capacity is exhausted | YYes | NNo | | Backup and restore with scheduled retention | PPartial | PPartial | | Static site hosting as a first-class product | NNo | NNo | | First-class background jobs, queues and cron | PPartial | PPartial | | Identity & secrets | | | | How a workload authenticates to external cloud services | YYes | NNo | | Secrets management with access control on retrieval | YYes | PPartial | | Role-based access control granularity | YYes | NNo | | Audit trail of platform changes | YYes | NNo | | Third-party compliance certifications | YYes | PPartial | | Multi-tenancy for the customer's own end customers | PPartial | PPartial | | Operations & observability | | | | Metrics with a queryable interface | YYes | PPartial | | Distributed tracing | YYes | NNo | | Managed log export to third-party destinations | YYes | NNo | | Default log retention | YYes | NNo | | Built-in alerting with notification channels | YYes | NNo | | Shell, file copy and port-forward into a running workload | YYes | PPartial | | Progressive delivery: weighted traffic between versions | YYes | PPartial | | Ephemeral preview environment per pull request | YYes | PPartial | | Automation & extensibility | | | | First-party infrastructure-as-code provider (Terraform or equivalent) | YYes | YYes | | Complete public API reference | YYes | YYes | | MCP server for AI-agent operation of the platform | YYes | NNo | | Machine-readable documentation (llms.txt, per-page markdown) | YYes | NNo | | Ephemeral sandboxes for running untrusted or AI-generated code | YYes | YYes | | Core product available as open source | NNo | NNo | | Specialized compute | | | | Run full virtual machines, not just containers | YYes | PPartial | | Run GPU workloads alongside standard services | YYes | YYes | | Commercial terms | | | | Published compute and memory unit prices | NNo | PPartial | | Published uptime SLA with a number | YYes | YYes | | Documented path to migrate off the platform | PPartial | NNo | | Public community channel | PPartial | YYes | | Named reference customers published | PPartial | YYes | | Vendor continuity risk signals | PPartial | NNo | Scored from public documentation as of September 2026. “No” means not documented, not necessarily absent; breadth is not a quality ranking, and specialists doing one thing well score narrow by design. ## Which fits your scenario **Control Plane fits: an AI product graduating from API calls to its own GPUs.** Inference moves from a vendor endpoint to a pool at a neocloud, the web tier stays on AWS, and a healthcare customer wants HIPAA terms with data in named regions. Control Plane runs all of it as one cloud, with the GPU pool and the AWS regions under the same deploy, identity, and audit trail. **Koyeb fits: a small team shipping a global API with zero infrastructure appetite.** Push the container, get the endpoint, let it scale to zero at night. If nobody is asking where it runs, the simplest host wins. ## Frequently asked questions - Is Control Plane a Koyeb alternative? For teams that have started caring where workloads run, yes. Both give you serverless-style containers with scale-to-zero; Control Plane adds control over placement (your accounts, your regions, your hardware) plus VMs, Universal Cloud Identity, and enterprise compliance. - Does Control Plane have scale-to-zero like Koyeb? Yes. Idle workloads scale to zero, and Capacity AI right-sizes running ones in place as usage changes, on managed compute and in your own accounts alike. - Can Control Plane run GPU workloads? Yes. GPU capacity from neoclouds like Lambda or CoreWeave, hyperscaler GPU instances, or your own hardware joins the virtual cloud as regions, and workloads deploy to them like anywhere else. - When is Koyeb the better choice? When speed-to-URL beats control-of-placement: self-contained apps, inference endpoints, and side services where the vendor's infrastructure is good enough. Control Plane earns its keep when accounts, regions, identity, and audits enter the conversation. ## Need your cloud to answer to you? Run containers, VMs, and GPU workloads across your accounts, managed regions, and your own hardware as one virtual cloud, compliance included. Test it on one real workload. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) --- # Control Plane vs DigitalOcean App Platform: Simple PaaS vs a Multi-Cloud Platform (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-digitalocean-app-platform [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs DigitalOcean App Platform Comparison # Control Plane vs DigitalOcean App Platform 4 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated August 6, 2026First published August 6, 2026 ## Summary Choose Control Plane for workloads that need multiple clouds, your own accounts, VMs, or real compliance guarantees, with one virtual cloud across all of it. Choose DigitalOcean App Platform for simple, predictable hosting of a straightforward app on DigitalOcean. Short version: App Platform is easy hosting on one cloud; Control Plane is one platform over every cloud. | At a glance | Control Plane | DO App Platform | | --- | --- | --- | | Runs across clouds | ●●●●● | ●●●●● | | Can run in your account | ✓ Yes | ✗ No | | Scale-to-zero | ✓ Yes | Web services, private preview | | VM workloads | ✓ Yes | Separate Droplets | | Compliance built in | PCI DSS L1, SOC 2, HIPAA | Provider-level certifications | DigitalOcean built its reputation on making cloud hosting understandable, and App Platform extends that: connect a repo or a container, pick a plan, and the app runs on DigitalOcean's infrastructure with databases nearby. For a straightforward app on one vendor, it is a fair deal. Control Plane answers a different question: what happens when the app stops being straightforward? A second cloud, a customer's region requirement, GPUs, VMs, or an auditor. ## The core difference: one vendor's cloud vs one cloud from many vendors App Platform's simplicity comes from its boundaries. Your app runs on DigitalOcean, in DigitalOcean's regions, next to DigitalOcean's managed services, at DigitalOcean's prices. Within those boundaries the experience is clean and the bill is predictable, which is exactly what a lot of small apps need. Control Plane has no such boundary. It composes AWS, GCP, Azure, neoclouds, Kubernetes clusters, and your own servers into one virtual cloud: deploy a workload once and run it in the regions you choose, reaching native services in every cloud credential-free through Universal Cloud Identity. Containers and full VMs, autoscaled and scaled to zero, on a platform that is PCI DSS Level 1, SOC 2 Type II, HIPAA, and GDPR compliant. ## Which one should you pick? ### Choose Control Plane if... - You need more than one provider, or your own accounts and hardware in the mix. - Enterprise customers are asking about data residency, PCI, or HIPAA. - You want scale-to-zero and automatic right-sizing to keep spend shaped to load. - You depend on AWS, GCP, or Azure native services and want them credential-free. ### Choose DO App Platform if... - One vendor's cloud fits the app and the roadmap. - Predictable, plan-based pricing matters more than consumption billing. - You want repo-to-URL simplicity with managed Postgres nearby. - Provider-level certifications are all the compliance the business needs. ## Control Plane vs DigitalOcean App Platform, side by side | Dimension | Control Plane | DO App Platform | | --- | --- | --- | | Where your app runs | Managed regions, your accounts, on-prem, across providers | DigitalOcean's infrastructure | | Multi-cloud + on-prem | One layer, one identity and network model | Single vendor | | Deploy model | Prebuilt containers via CLI, IaC, API, UI | Git-push or container, plan-based | | Workload types | Containers, VMs, serverless, cron, stateful | Services, workers, jobs, static sites, functions | | Scaling | Autoscaling, scale-to-zero, Capacity AI right-sizing | Horizontal autoscaling (CPU on dedicated plans, request-based on any); scale-to-zero for web services in private preview | | Identity to cloud services | Universal Cloud Identity across 600+ services | DO services; external clouds via credentials | | Compliance | PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR at platform level | Provider certifications | | Pricing model | Consumption by the milli-core; flat per-core on your infra | Fixed plans per component | | Best for | Scaling, multi-cloud, or regulated workloads | Simple apps happy on one vendor | ## Which fits your scenario **Control Plane fits: a SaaS that just landed its first enterprise logo.** The app has lived comfortably on a simple PaaS; the new contract specifies EU data residency, SOC 2 evidence, and integration with the customer's Azure services. On Control Plane that is a Frankfurt region, a compliance report that already exists, and Entra ID reached without embedded credentials. Not a re-platforming project. **App Platform fits: a bootstrapped product with a clear ceiling.** One region, Postgres, a web tier and a worker, and a founder who wants the bill to be the same number every month. Simple hosting on one vendor is the right call, and DigitalOcean does simple well. ## Frequently asked questions - Is Control Plane a DigitalOcean App Platform alternative? For teams outgrowing single-vendor hosting, yes. The step up buys control over where workloads run (accounts, regions, providers, your own hardware) plus VMs, scale-to-zero across workload types, and platform-level compliance. For apps that fit inside one vendor's cloud, App Platform's simplicity is the right recommendation. - Is Control Plane harder to use than a simple PaaS? You bring a built container image and deploy through the UI, CLI, Terraform, or API, with no cluster to run and no Kubernetes manifests to write. The concepts are bigger (a virtual cloud instead of an app slug); the day-to-day is comparable. - Can I keep my databases on DigitalOcean? Workloads on Control Plane can reach externally hosted databases like any network service. Control Plane also offers database templates (CockroachDB, Postgres, Redis, MySQL, and more) that run on your virtual cloud; there is no separate managed-database product. - When is App Platform the better choice? When one vendor, fixed pricing, and repo-to-URL simplicity cover the whole requirement. If multi-cloud, residency, VMs, and audits aren't in your future, don't buy a platform built for them. ## Outgrowing one vendor's cloud? Compose AWS, GCP, Azure, and your own hardware into one virtual cloud: same deploy everywhere, compliance included, spend shaped to demand. Test it on one real workload. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) --- # Control Plane vs Aptible: Compliance on Their Terms vs Compliance on Yours (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-aptible [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Aptible Comparison # Control Plane vs Aptible 4 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated August 6, 2026First published August 6, 2026 ## Summary Choose Control Plane for regulated workloads that also need placement control: PCI DSS Level 1, SOC 2 Type II, HIPAA, and GDPR on a platform that runs in your accounts, across clouds, and on-prem, with scale-to-zero economics. Choose Aptible for turnkey HIPAA-ready hosting on infrastructure Aptible manages end to end. Short version: both take compliance seriously; they differ on who controls the infrastructure underneath. | At a glance | Control Plane | Aptible | | --- | --- | --- | | Runs across clouds | ●●●●● | ●●●●● | | Can run in your account | ✓ Yes | Your AWS, limited release | | HIPAA-ready | ✓ Yes | ✓ Yes | | PCI DSS Level 1 | ✓ Yes | Level 2 SP (Enterprise) | | Scale-to-zero | ✓ Yes | ✗ No | Aptible deserves credit for making compliance the product before that was fashionable: a PaaS where HIPAA readiness, encryption, and audit logging come standard, on infrastructure Aptible manages for you. For a digital-health startup that needs a BAA more than it needs infrastructure opinions, that focus is the appeal. Control Plane starts from the same seriousness about compliance and removes the trade: the certifications come with the platform, and the infrastructure stays under your control: your accounts, your regions, several clouds and your own hardware as one virtual cloud. ## The core difference: compliant hosting vs a compliant platform you place anywhere On Aptible, compliance and managed hosting are a package: your containers run on infrastructure Aptible operates, and the platform's controls (encryption, access logging, security scans) wrap them. The simplicity is real, and so are the boundaries: placement is Aptible's, the underlying cloud is AWS, in the regions Aptible operates, and always-on containers bill around the clock. Control Plane treats compliance as a property of the platform, not of one vendor's hosting. The platform is PCI DSS Level 1, SOC 2 Type II, HIPAA, and GDPR compliant, and workloads can run on managed compute, inside your own AWS, GCP, or Azure accounts, or on your servers, with a tamper-proof audit trail from the first API call, mTLS between services, deny-by-default firewalls, and credential-free access to native cloud services through Universal Cloud Identity. Capacity AI right-sizes standard and serverless workloads, and idle workloads scale to zero. ## Which one should you pick? ### Choose Control Plane if... - Regulated workloads must live in specific accounts, regions, or your own infrastructure. - You need PCI DSS Level 1 as well as HIPAA and SOC 2. - You want compliance without single-vendor hosting lock-in: several clouds under one layer. - The compute bill matters: scale-to-zero and automatic right-sizing, billed on consumption. ### Choose Aptible if... - You want the shortest path to HIPAA-ready hosting with a BAA and no infrastructure decisions. - A fully vendor-managed environment is a feature, not a constraint. - Your stack is a straightforward web app plus database. - Placement, multi-cloud, and PCI DSS Level 1 never enter the requirements. ## Control Plane vs Aptible, side by side | Dimension | Control Plane | Aptible | | --- | --- | --- | | Where workloads run | Managed regions, your accounts, on-prem: your choice | Aptible-managed AWS stacks (14 regions); your own AWS in limited release | | Compliance | PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR | HIPAA, HITRUST, SOC 2 Type II, PCI DSS SP Level 2, GDPR (HITRUST and PCI on Enterprise) | | Audit trail | Tamper-proof, from the first API call, across every substrate | Platform activity logging | | Multi-cloud + on-prem | One layer, one identity and network model | Single vendor platform | | Workload types | Containers, VMs, serverless, cron, stateful | Containers plus managed databases | | Scaling | Autoscaling, scale-to-zero, Capacity AI right-sizing | Horizontal autoscaling (Production+), vertical autoscaling (Enterprise); always-on | | Identity to cloud services | Universal Cloud Identity, no embedded credentials | Credentials you manage | | Cost model | Consumption by the milli-core; flat per-core on your infra | Base fee ($499/mo on Production) plus per-GB-RAM-hour containers | | Best for | Regulated workloads that need placement and cost control | Turnkey HIPAA hosting, hands off | ## Which fits your scenario **Control Plane fits: a health-tech company whose hospital customers ask where the data lives.** The answer needs to be a named region in the company's own cloud account, with HIPAA terms, SOC 2 evidence, and (because payments arrived) PCI DSS Level 1. Control Plane runs the workloads there, keeps the audit trail, and scales the quiet services to zero between visits. **Aptible fits: a seed-stage digital-health app that needs a BAA yesterday.** One web app, one database, a compliance questionnaire between the founders and their first pilot. Fully managed compliant hosting with no infrastructure decisions is exactly the right amount of product. ## Frequently asked questions - Is Control Plane an Aptible alternative? For regulated workloads, yes, with a different shape of control. Aptible bundles compliance with hosting it manages; Control Plane provides the compliance posture on infrastructure you place: your accounts, several clouds, or your own servers, under one platform. - Does Control Plane support HIPAA workloads? Yes. The platform supports HIPAA and GDPR alongside PCI DSS Level 1 and SOC 2 Type II, with encryption, RBAC, and a tamper-proof audit trail as platform features rather than add-ons. - Why does running in my own account matter for compliance? Auditors and enterprise customers increasingly ask not just how data is protected but where it lives and who controls the account. Own-account placement answers residency and ownership questions a vendor-hosted platform cannot. - When is Aptible the better choice? When speed to a BAA on fully managed infrastructure is the entire requirement and the stack is simple. If placement, PCI, multi-cloud, or compute costs at scale are in the picture, the trade tips the other way. ## Compliance without giving up the keys? PCI DSS Level 1, SOC 2 Type II, HIPAA, and GDPR on a platform that runs in your accounts, across clouds, and on your hardware, with spend shaped to demand. Test it on one real workload. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) --- # Control Plane vs Docker Swarm: A Cluster You Run vs a Cloud That Runs for You (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-docker-swarm [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Docker Swarm Comparison # Control Plane vs Docker Swarm 4 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated August 6, 2026First published August 6, 2026 ## Summary Choose Control Plane to run containers across AWS, GCP, Azure, and your own servers without operating any cluster, with networking, identity, autoscaling, and compliance included. Choose Docker Swarm for the simplest self-managed orchestrator on a few machines you're happy to run. Short version: Swarm keeps the cluster simple; Control Plane makes it disappear. | At a glance | Control Plane | Docker Swarm | | --- | --- | --- | | Runs across clouds | ●●●●● | ●●●●● | | Cluster you operate | None | Your nodes, your job | | Autoscaling | ✓ Yes | ✗ No | | Scale-to-zero | ✓ Yes | ✗ No | | Compliance built in | PCI DSS L1, SOC 2, HIPAA | Yours to build | Docker Swarm's virtue has always been restraint: it is orchestration with the fewest moving parts: a few commands, your existing Compose files, and a working cluster. If Kubernetes felt like buying a freight train to deliver groceries, Swarm was the sensible van. But the van is still yours to drive: nodes, upgrades, TLS ingress, secrets rotation, monitoring, and capacity are all manual. Control Plane takes the other exit: not a simpler cluster, but no cluster in your hands at all. ## The core difference: fewer moving parts vs no parts to move Swarm keeps you in the infrastructure business at small scale: provision machines, join them to the swarm, keep them patched, and grow capacity by hand when load grows. For a stable handful of services on a few boxes, that overhead is modest and the simplicity is honest. What Swarm doesn't do (autoscaling, scale-to-zero, multi-region failover, a managed identity layer) stays undone or hand-built. Control Plane runs your same containers with no nodes in your care. Workloads deploy to one virtual cloud spanning AWS, GCP, Azure, and any Linux server you join to it; the platform handles mTLS networking, deny-by-default firewalls, geo-routed TLS with failover, secrets, logs and metrics, autoscaling with scale-to-zero, and Capacity AI right-sizing. Compliance (PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR) is the platform's, not a project of yours. ## Which one should you pick? ### Choose Control Plane if... - You want out of node management, capacity planning, and 2am restarts. - Load varies: autoscaling and scale-to-zero beat hand-sized clusters. - You need multi-region or multi-cloud with failover that just happens. - Compliance or enterprise customers are on the horizon. ### Choose Docker Swarm if... - A few stable services on a few machines is the whole picture. - You already live in Docker Compose and want the shortest step to a cluster. - Self-hosting everything is a hard requirement and the stakes are low. - The operational simplicity of one binary matters more than what's missing. ## Control Plane vs Docker Swarm, side by side | Dimension | Control Plane | Docker Swarm | | --- | --- | --- | | What it is | An operated virtual cloud across providers | Docker's built-in orchestrator on your nodes | | What you operate | Nothing underneath | Every node, plus everything around the cluster | | Scaling | Autoscaling, scale-to-zero, Capacity AI right-sizing | Manual replica and node management | | Networking | One network model, mTLS, geo-routed TLS with failover | Overlay networking with routing mesh and DNS discovery; TLS and L7 ingress you assemble | | Identity to cloud services | Universal Cloud Identity, no embedded credentials | Credentials you distribute and rotate | | Observability | Logs, metrics, tracing collected; Grafana ready | docker service logs built in; metrics and tracing you roll yourself | | Multi-cloud + on-prem | One layer across clouds and your servers | Wherever you place and join nodes | | Compliance | PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR | Yours to build and certify | | Best for | Production workloads that should scale and fail over | Small, stable, self-hosted setups | ## Which fits your scenario **Control Plane fits: the Swarm cluster nobody wants to inherit.** It has run quietly for years; the engineer who built it is leaving; traffic now spikes nightly and the nodes are sized for the spike. Moving the Compose services to Control Plane keeps the containers, drops the nodes, and lets the quiet hours cost nothing. **Swarm fits: a self-contained deployment on hardware you control.** A shop-floor system, a lab, a small product with flat traffic on two boxes under a desk. Swarm's one-binary simplicity is a fine tool for a job that genuinely stays that size. ## Frequently asked questions - Is Control Plane a Docker Swarm alternative? Yes, for teams whose Swarm setup has become production-critical. Your containers move as they are; the cluster, networking, scaling, and observability become platform features instead of your checklist. - Can I keep using Docker Compose workflows? You bring the same container images. Deploys go through Control Plane's UI, CLI, Terraform, or API rather than docker stack deploy; documented CI examples cover GitHub Actions, GitLab CI, Bitbucket, and CircleCI. - Can my existing machines join Control Plane? Yes. Any SSH-accessible Linux server with internet egress joins a Control Plane Managed Kubernetes cluster via a join script, and that cluster runs workloads beside cloud regions as a location of your virtual cloud and runs workloads beside cloud regions, which is useful for keeping owned hardware in service without operating it as a cluster. - When is Swarm the better choice? Small, stable, self-hosted, low-stakes. If the service count, the traffic, and the team aren't growing, Swarm's simplicity costs little, and Control Plane's advantages would mostly sit idle. ## Ready to retire the cluster? Same containers, no nodes: autoscaling, failover, identity, and compliance across AWS, GCP, Azure, and your own servers. Test it on one real workload. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) --- # Control Plane vs Crossplane: A Finished Platform vs a Framework to Build One (2026) | Control Plane Source: https://controlplane.com/compare/control-plane-vs-crossplane [Home](https://controlplane.com/)[Compare](https://controlplane.com/compare)Control Plane vs Crossplane Comparison # Control Plane vs Crossplane 4 min read [The difference](#difference)[Which to pick](#decision)[Full comparison](#compare)[Which fits you](#scenarios)[FAQ](#faq) Last updated August 6, 2026First published August 6, 2026 ## Summary Choose Control Plane for a working virtual cloud: deploy containers and VMs across AWS, GCP, Azure, and on-prem today, with identity, networking, and compliance operated for you. Choose Crossplane to build your own internal platform on Kubernetes, with full control over every abstraction you ship. Short version: Crossplane is a kit for building a control plane; Control Plane is one you can use this afternoon. | At a glance | Control Plane | Crossplane | | --- | --- | --- | | Runs your application workloads | ✓ Yes | ✗ No, it provisions infra | | Works without operating Kubernetes | ✓ Yes | ✗ No | | Time to a working platform | Sign up | A platform-team roadmap | | Multi-cloud | ●●●●● | ●●●●● | | Compliance built in | PCI DSS L1, SOC 2, HIPAA | Yours to build | The names collide; the products barely overlap. Crossplane is a CNCF graduated framework that turns a Kubernetes cluster into a control plane for provisioning infrastructure: databases, buckets, networks, clusters, declared as Kubernetes resources and composed into abstractions your platform team designs. It does not run your application traffic; it provisions infrastructure and, since v2, can also manage Kubernetes application resources such as Deployments, on clusters you operate. Control Plane is the other end of that pipeline: an operated virtual cloud where the workloads themselves run, across AWS, GCP, Azure, and on-prem, with the platform underneath already engineered. ## The core difference: build your platform, or skip to having one Adopting Crossplane is a commitment to platform engineering as a discipline. You run the management cluster, install and upgrade providers, design compositions, define the developer-facing abstractions, and own the result, including everything Crossplane deliberately leaves out: the runtime, service networking, workload identity, observability, and the on-call rotation. Strong platform teams build genuinely great internal products this way. It is a sustained engineering investment, not a weekend. Control Plane is what a finished version of that project looks like, sold as a product. Workloads (containers and full VMs) deploy to a Global Virtual Cloud; mTLS networking, deny-by-default firewalls, geo-routed TLS, Universal Cloud Identity to 600+ native services, logs and metrics, autoscaling with scale-to-zero, and PCI DSS Level 1 / SOC 2 Type II / HIPAA / GDPR are already there. The trade is symmetrical: you give up designing the abstractions; you skip building and operating them. ## Which one should you pick? ### Choose Control Plane if... - You want a working multi-cloud platform now, not a platform roadmap. - The goal is running workloads, with identity, networking, and failover handled. - You don't want to operate the management cluster a framework lives on. - Compliance needs to arrive with the platform, not after it. ### Choose Crossplane if... - You have a platform team whose mandate is building an internal developer platform. - You need custom, org-specific abstractions over infrastructure provisioning. - GitOps-driven infrastructure as Kubernetes resources is the architecture you want. - Open source and full ownership of the platform are the point. ## Control Plane vs Crossplane, side by side | Dimension | Control Plane | Crossplane | | --- | --- | --- | | What it is | An operated virtual cloud that runs workloads | A framework for provisioning infra from Kubernetes | | Runs application traffic | Yes: containers, VMs, serverless, cron, stateful | No, it creates infrastructure others run on | | What you operate | Nothing underneath | The management cluster, providers, compositions | | Time to value | A workload running today | A platform after real engineering investment | | Identity | Universal Cloud Identity across clouds, built in | Per-provider credentials you configure | | Networking & observability | Included: mTLS, firewalls, TLS, logs, metrics | Out of scope; assemble separately | | Compliance | PCI DSS Level 1, SOC 2 Type II, HIPAA, GDPR | Yours to build and certify | | Extensibility | Terraform, Pulumi, API, MCP server | Compositions and providers, deeply extensible | | Best for | Teams that want the platform as a product | Platform teams building their own product | ## Which fits your scenario **Control Plane fits: a 40-engineer company told to 'get us multi-cloud' by Q4.** There is no platform team to staff and no appetite to run a management cluster. Control Plane gives them the end state (one deploy across AWS and Azure, identity and networking handled, auditors satisfied) without the two quarters of assembly. **Crossplane fits: an enterprise platform group productizing infrastructure for hundreds of developers.** They want their own opinionated abstractions ('a database in this org means these three resources, wired thus') under GitOps, with full ownership. That is precisely what a framework is for, and Crossplane is the CNCF-graduated one. **Sometimes it's both.** Crossplane provisions the surrounding estate; the workloads themselves run on Control Plane, reached through the same Terraform and GitOps flows. ## Frequently asked questions - Are Control Plane and Crossplane competitors? Less than the names suggest. Crossplane provisions infrastructure from Kubernetes and leaves the runtime to you; Control Plane is the runtime: an operated virtual cloud for the workloads themselves. They compete mainly as answers to build-vs-buy for your internal platform. - Does Control Plane work with infrastructure-as-code? Yes. Terraform and Pulumi are first-class, alongside the CLI, API, UI, and an MCP server for AI agents. Teams keep their GitOps workflows; they just point at a platform instead of a framework. - Do I need Kubernetes expertise for either? For Crossplane, yes: it lives on a cluster you run and extends Kubernetes' machinery. For Control Plane, no: it is built on Kubernetes but you never operate a cluster, patch a node, or write a Kubernetes manifest. - When is Crossplane the better choice? When building and owning a custom internal platform is an explicit, staffed goal. If the actual goal is workloads running across clouds with the platform problems solved, buying the finished article is faster and usually cheaper. ## Skip to the finished platform? One virtual cloud across AWS, GCP, Azure, and on-prem, with identity, networking, observability, and compliance already built. Terraform-ready. Test it on one real workload. [See how Control Plane works](https://controlplane.com/platform)[Start free](https://console.cpln.io/signup) --- # Customers — Control Plane Source: https://controlplane.com/customers Customers # Cloud should fuel your ambitions, not stifle them Ambitious, fast-moving teams ship more, spend less, and sleep better on Control Plane. [Featured story ![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ## 30–40% lower compute AI-native engineering, multi-cloud-ready, scaled to the school day. ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga > The less attention we spend on infrastructure and problems, the more we can focus on building solutions for our schools. Read the story](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ## Heroku → Control Plane Thousands of client domains on a single multi-tenant SaaS. ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ## ~1/3 the cost of DIY infrastructure A custom AI inference layer on GPUs, inside their own zone of control. ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [![Kintsugi logo](https://controlplane.com/images/customers/kintsugi-logo.png) Sales Tax Compliance Automation ## Uptime Worth $4 Million a Minute 100ms tax calculations inside customer checkouts. ![Pujun Bhatnagar](https://controlplane.com/images/customers/pujun-bhatnagar.jpeg) Pujun Bhatnagar Co-Founder and CEO, Kintsugi](https://controlplane.com/customers/kintsugi) [![Meso AI logo](https://controlplane.com/images/customers/meso-ai.svg) Agentic AI / Marketing Intelligence ## Push-button cloud arbitrage A massively parallel multi-agent platform, with per-workload scaling across AWS and GCP. ![Sven Brueckner](https://controlplane.com/images/customers/sven-brueckner.jpeg) Sven Brueckner CTO, Meso AI](https://controlplane.com/customers/meso-ai) [![Jora AI logo](https://controlplane.com/images/customers/jora.svg) Legal Tech / AI ## ~60% lower cloud bill Kubernetes without the time suck. ![Cam Long](https://controlplane.com/images/customers/cam-long.jpeg) Cam Long Co-Founder, Jora AI](https://controlplane.com/customers/jora) [![Subject logo](https://controlplane.com/images/customers/subjectLogo.svg) Education ## Student privacy, at scale Compliance and flexibility for K-12 districts. ![Nantana Minale](https://controlplane.com/images/customers/subject_nantana_minale.jpg) Nantana Minale Director of Engineering, Subject](https://controlplane.com/customers/subject) [![DIV Brands logo](https://controlplane.com/images/customers/divbrands-logo.svg) E-Commerce ## 99.999% uptime 19 countries, multi-cloud, PCI-compliant out of the box. ![Gus Fune](https://controlplane.com/images/customers/gus-fune.jpeg) Gus Fune CTO, DIV Brands](https://controlplane.com/customers/div-brands) [![Linker Finance logo](https://controlplane.com/images/customers/linker-finance.svg) FinTech ## Hours → minutes Predictable, fast, low-risk deployments — without lock-in. ![Pete Torres](https://controlplane.com/images/customers/pete-torres.jpeg) Pete Torres SVP of Engineering, Linker Finance](https://controlplane.com/customers/linker-finance) [![SAFE Health logo](https://controlplane.com/images/customers/SAFE_logo.webp) Health Tech ## 75% lower AWS spend Multi-region zero-trust diagnostics, with Capacity AI scaling to zero. EL Engineering Leader SAFE Health](https://controlplane.com/customers/safehealth) [![Verdova logo](https://controlplane.com/images/customers/verdovaLogo.png) Ag Data Analytics ## 5 days → 1 day 30% of engineering time recovered across AWS, GCP, and Azure. ![Max Feinberg](https://controlplane.com/images/customers/verdova_max_feinberg.jpg) Max Feinberg CTO, Verdova](https://controlplane.com/customers/verdova) [![IIInigence logo](https://controlplane.com/images/customers/iii-logo.png) Software Development ## 50% of DevOps eliminated Two DevOps engineers running out of things to do. ![Jude Lee](https://controlplane.com/images/customers/judeLee.png) Jude Lee CEO, IIInigence](https://controlplane.com/customers/iiinigence) [![Qualifi logo](https://controlplane.com/images/customers/qualifi.svg) HR Technology ## 90% lower server costs Eliminated DevOps overhead entirely. ![Desean Prentice](https://controlplane.com/images/customers/desean-prentice.jpeg) Desean Prentice Co-Founder & CTO, Qualifi](https://controlplane.com/customers/qualifi) [![Outrider logo](https://controlplane.com/images/customers/outrider.svg) Software Development, Autonomous Vehicles, Artificial Intelligence (AI) ## ROI on multi-cloud + Kubernetes Streamlined K8s operations across AWS, Azure, and GCP. ![Jay Eberhard](https://controlplane.com/images/customers/jay-eberhard.png) Jay Eberhard Senior Platform Engineer, Outrider](https://controlplane.com/customers/outrider) [![LeasePilot logo](https://controlplane.com/images/customers/leasepilot-logo.svg) Commercial Real Estate Technology ## 400+ deploys automated Security posture transformed end-to-end. ![Lior Kedmi](https://controlplane.com/images/customers/lior-kedmi.jpeg) Lior Kedmi CTO, LeasePilot](https://controlplane.com/customers/leasepilot) [![Fastback logo](https://controlplane.com/images/customers/fastback.webp) FinTech ## Instant refunds, uninterrupted Multi-cloud auto-scaling with 99.999% availability. ![Yitz Dancziger](https://controlplane.com/images/customers/yitz-dancziger.png) Yitz Dancziger CTO, Fastback](https://controlplane.com/customers/fastback) [![Nevvon logo](https://controlplane.com/images/customers/nevvon.svg) Healthcare/E-Learning ## AWS workloads, simplified Hands-on partnership through the migration. ![Uri Sevilla](https://controlplane.com/images/customers/uri-sevilla.jpeg) Uri Sevilla CTO, Nevvon](https://controlplane.com/customers/nevvon) [![PrimeRx logo](https://controlplane.com/images/customers/prime-rx-logo.png) Pharmaceutical, Computer Software ## Cloud-native maturity 30+ years of pharmacy software, modernized on Control Plane. ![Joe Klimowicz](https://controlplane.com/images/customers/joe-klimowicz.jpeg) Joe Klimowicz Director of Cloud and Platform Engineering, PrimeRx](https://controlplane.com/customers/primerx) [![Allio Finance logo](https://controlplane.com/images/customers/allio.svg) FinTech ## 6 months faster to market Resource optimization for micro-investments. ![David Chen](https://controlplane.com/images/customers/davidChen.webp) David Chen Principal Engineer, Allio](https://controlplane.com/customers/allio) [![Datacenters.com logo](https://controlplane.com/images/customers/datacenters.svg) Technology Marketplace ## Always agile Multi-cloud resilience without single points of failure. ![Mike Price](https://controlplane.com/images/customers/datacenters_mike_price.jpeg) Mike Price CTO, Datacenters.com](https://controlplane.com/customers/datacenters) [![Upsie logo](https://controlplane.com/images/customers/upsieLogo.svg) Extended Warranties ## Off Heroku, fine-grained control Linear, elastic scaling without tier-based pricing. ![Jame Mackson](https://controlplane.com/images/customers/upsie_jame_mackson.jpeg) Jame Mackson CTO, Upsie](https://controlplane.com/customers/upsie) [![Acoer logo](https://controlplane.com/images/customers/acoer-logo.png) Health Tech ## 7 regions, 3 clouds Unfailing multicloud reliability for healthcare APIs. ![Jim Nasr](https://controlplane.com/images/customers/jimNasr-acoer.jpg) Jim Nasr CEO, Acoer](https://controlplane.com/customers/acoer) [![Casai logo](https://controlplane.com/images/customers/casai-logo.png) Real Estate ## 20% faster to market Microservices on Control Plane, monolith on AWS. ![Daniel Sandoval](https://controlplane.com/images/customers/danielSandoval.jpeg) Daniel Sandoval VP of Engineering, Casai](https://controlplane.com/customers/casai) [![Printivity logo](https://controlplane.com/images/customers/printivity-logo.png) Printing Services ## 50+ hours of downtime avoided Scalable test/dev environments, faster feature deployment. ![Erik Krueger](https://controlplane.com/images/customers/erik-krueger.jpeg) Erik Krueger CTO, Printivity](https://controlplane.com/customers/printivity) --- # Frequently asked questions — Control Plane Source: https://controlplane.com/faq FAQ # Answers to the questions we hear most 23 answers across migration, multi-cloud, security, support, and how we compare to Lambda, Heroku, and managed Kubernetes. Still stuck? We're one email away. Categories - Getting Started4 questions - Platform Capabilities8 questions - Comparisons3 questions - Support & SLA4 questions - Security & Data3 questions - Billing1 question ## Getting Started Onboarding, migration, and trial. - What do I need to do to migrate my existing workloads? For containerized workloads, modify your CI/CD pipeline to optionally push the container images to your free private Control Plane image registry. You instruct Control Plane to run your workload, either by specifying YAML, JSON, Terraform, or Pulumi script, or even by calling the RESTful API. Your workloads run inside of your Global Virtual Cloud (GVC™) – a named set of locations. For non-containerized applications, Control Plane offers auto-containerization via the CLI plus a white-glove migration services if desired, to ensure optimal performance from day one. - What if my application is not containerized? Any workload can be containerized. If the automated tooling doesn't automatically create the deployment manifest for your workload, we provide free containerization services at no cost or obligation. Simply email support@controlplane.com and an experienced engineer will be glad to answer all your questions. - What are the specific system requirements? The only requirement is a Linux-compatible workload. Any Linux-compatible workload can run on Control Plane. The image can target Intel/AMD64 or ARM architecture. We also support virtual machines – so you can run ANY sort of workload, either Windows or Linux. - Is there a free trial available? Yes. We offer a generous free trial period. Email sales@controlplane.com and we’ll set up a trial period that works for you. ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Blog — Control Plane Source: https://controlplane.com/blog Blog # From the Control Plane blog Cloud-native engineering, multi-cloud strategy, and platform deep-dives. [![Best Multi-Cloud and Multi-Region Failover Solutions (2026)](https://wp.controlplane.site/wp-content/uploads/2026/10/2026-10-20-%C2%B7-multi-cloud-failover-solutions-%C2%B7-concept-2-%C2%B7-dark.png) Latest ## Best Multi-Cloud and Multi-Region Failover Solutions (2026) Eight multi-cloud and multi-region failover solutions compared on active-active vs standby, cross-cloud reach, documented RTO/RPO, and idle standby cost. Noah GrinsteinOctober 20, 202616 min read](https://controlplane.com/blog/post/best-multi-cloud-failover-solutions-2026) - [![Workload Identity Federation: Cloud Access Without Keys (2026)](https://wp.controlplane.site/wp-content/uploads/2026/10/2026-10-19-%C2%B7-workload-identity-federation-%C2%B7-concept-1-%C2%B7-light.png) ## Workload Identity Federation: Cloud Access Without Keys (2026) Workload identity federation replaces long-lived cloud keys with short-lived credentials. How it works on AWS, GCP, and Azure, across clouds, and in failover. Noah GrinsteinOctober 19, 202614 min read](https://controlplane.com/blog/post/workload-identity-federation) - [![Cloud Cost Optimization in 2026: 10 Levers That Cut Your Compute Bill](https://wp.controlplane.site/wp-content/uploads/2026/10/2026-10-19-%C2%B7-cloud-cost-optimization-guide-%C2%B7-concept-1-%C2%B7-dark.png) ## Cloud Cost Optimization in 2026: 10 Levers That Cut Your Compute Bill Cloud cost optimization in 2026: 10 levers that cut your compute bill, from right-sizing and bin-packing to idle standby, commitments, spot, and egress. Noah GrinsteinOctober 19, 202616 min read](https://controlplane.com/blog/post/cloud-cost-optimization-guide) - [![Diagram: an AI assistant connects to an MCP server whose tools deploy, roll back, diagnose, and rotate secrets under readonly, core, and full profiles, with workloads running in two regions](https://wp.controlplane.site/wp-content/uploads/2026/10/2026-10-19-%C2%B7-best-mcp-servers-for-devops-%C2%B7-concept-1-%C2%B7-light.png) ## The 10 Best MCP Servers for DevOps and Cloud Infrastructure in 2026 The 10 best MCP servers for DevOps and cloud infrastructure in 2026, compared on what an AI assistant can do, auth, read-only modes, and audit trails. Noah GrinsteinOctober 19, 202619 min read](https://controlplane.com/blog/post/best-mcp-servers-for-devops) - [![Diagram: a workload connected to two cloud regions and an on-premises location, carrying five portable layers (runtime, identity, data, network, tooling), so changing locations is a config change, not a rewrite](https://wp.controlplane.site/wp-content/uploads/2026/10/2026-10-16-%C2%B7-avoid-cloud-vendor-lock-in-%C2%B7-concept-1-%C2%B7-dark.png) ## How to Avoid Cloud Vendor Lock-In: A Practical Guide for 2026 How to avoid cloud vendor lock-in: eight practices for portable compute, identity, data, networking, and tooling, plus exit terms and a self-check. Noah GrinsteinOctober 16, 202618 min read](https://controlplane.com/blog/post/how-to-avoid-cloud-vendor-lock-in) - [![Diagram: a busy Kubernetes cluster your team operates, with upgrades, ingress, certificates, mesh, autoscaler and on-call, versus a platform running app, API and worker across two regions with no cluster to operate](https://wp.controlplane.site/wp-content/uploads/2026/10/2026-10-16-%C2%B7-best-kubernetes-alternatives-%C2%B7-concept-1-%C2%B7-light.png) ## The 9 Best Kubernetes Alternatives in 2026 The 9 best Kubernetes alternatives in 2026, compared: run containers in production without operating clusters, on one cloud or across regions and clouds. Noah GrinsteinOctober 16, 202617 min read](https://controlplane.com/blog/post/best-kubernetes-alternatives) - [![Diagram: a global endpoint routes traffic to two active-active locations, each running compute and data, with data replicated between them across a region or cloud](https://wp.controlplane.site/wp-content/uploads/2026/10/2026-10-15-%C2%B7-active-active-high-availability-%C2%B7-concept-1-%C2%B7-dark.png) ## How to Build Active-Active High Availability Across Regions and Clouds How to build multi-region active-active high availability: global routing, compute in every location, replicated data, automatic failover, and testing. Noah GrinsteinOctober 15, 202620 min read](https://controlplane.com/blog/post/how-to-build-active-active-high-availability-across-regions-and-clouds) - [![Diagram: apps and agents connect to one global endpoint that routes to two active-active GPU locations, an AWS region and neocloud GPUs, each running vLLM, GPU and model weights](https://wp.controlplane.site/wp-content/uploads/2026/10/2026-10-15-%C2%B7-inference-layer-infrastructure-%C2%B7-concept-1-%C2%B7-light.png) ## What Infrastructure Do You Need to Run an Inference Layer? A Production Guide What a production inference layer needs: GPUs, serving runtimes, autoscaling, routing, weights, observability, and how to keep it up across providers. Noah GrinsteinOctober 15, 202619 min read](https://controlplane.com/blog/post/what-infrastructure-do-you-need-to-run-an-inference-layer) - [![Live webinar: We recreate the us-east-1 outage live. Tuesday, October 20, 11 AM PT. Map showing AWS us-east-1 failing while traffic routes to other regions.](https://wp.controlplane.site/wp-content/uploads/2026/10/2026-10-15-%C2%B7-webinar-us-east-1-live-%C2%B7-concept-1-%C2%B7-dark.png) ## What Happens to Your App When us-east-1 Fails? Watch It Live on October 20 One year after the AWS us-east-1 outage, we recreate it live on Oct 20 and show how active-active apps stay up. Free webinar, 11 AM PT. Register now. Noah GrinsteinOctober 15, 20262 min read](https://controlplane.com/blog/post/what-happens-to-your-app-when-us-east-1-fails-watch-it-live-on-october-20) - [![Add a neocloud to AWS or GCP](https://wp.controlplane.site/wp-content/uploads/2026/10/2026-10-14-%C2%B7-best-neocloud-for-aws-gcp-%C2%B7-concept-1-%C2%B7-light.png) ## How to Add a Neocloud to AWS or GCP Without Running a Second Stack How to choose and add a neocloud like CoreWeave, Lambda, or Nebius to AWS or GCP: six criteria, published pricing, and how to avoid running a second stack. Noah GrinsteinOctober 14, 202617 min read](https://controlplane.com/blog/post/how-to-add-a-neocloud-to-aws-or-gcp-without-running-a-second-stack) Page 1 of 13[Older](https://controlplane.com/blog/2) --- # Product demos — Control Plane Source: https://controlplane.com/product-demos Product demos # See it work on real workloads Six short walkthroughs from the Control Plane team — deployment, cost, observability, security, and Universal Cloud Identity. Want a tailored session on your stack? Book a live demo. [Book a live demo](https://controlplane.com/contactus)[Try it yourself, free](https://console.cpln.io/signup) Demo library ## Watch the platform in action 6 short demos walking through the capabilities engineers ask about most. Click any video to play it inline. - Multi-cloud ### How you can RUN COMPUTE ANYWHERE using Control Plane! Deploy a workload that runs unchanged across AWS, GCP, Azure, OCI, and on-prem from a single Global Virtual Cloud. - Cost reduction ### Reduce your cloud compute spend by 60%! How usage-based billing and Capacity AI eliminate the idle spend that dominates most cloud bills. - Universal Cloud Identity ### Mix-n-Match ANY combination of services from AWS, GCP and Azure Use AWS S3, GCP BigQuery, and Azure Cosmos DB from one workload — no per-cloud credential plumbing. - Observability ### Simplify log management across any cloud Centralized log aggregation, real-time querying with LogQL, and the integrated Grafana explorer in action. - Observability ### Control Plane's aggregated metrics Prometheus-formatted metric collection streamed straight into Grafana dashboards across every region. - Security ### Control Plane's tamper-proof, immutable audit trail Every UI, CLI, API, and IaC action permanently recorded with a clean diff view of every workload change. In a live session ## Real platform, real workloads Want a custom walkthrough on your stack? An engineer runs the demo live in the console with a working Global Virtual Cloud. We don't hide the rough edges. - End-to-end multi-cloud deployment from one CLI - Mutual-TLS service-to-service across providers - Geo-routing & failover demonstrated live - Audit trail and Universal Cloud Identity in the console - Pricing transparency on a real workload ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Podcasts — Control Plane Source: https://controlplane.com/podcasts Podcasts # Conversations with the team behind the platform Long-form interviews on building production-grade cloud infrastructure, multi-cloud strategy, and what we've learned operating Control Plane at scale. Episodes ## Latest appearances - [![CTO Connection episode artwork — Building Netflix-grade cloud](https://controlplane.com/images/podcasts/cto-connection-netflix-grade-cloud.png) CTO Connection ### Building Netflix-grade cloud Doron Grinstein with Peter Bell Control Plane's CEO, Doron Grinstein speaks with Peter Bell at CTO Connection about what is required to build big-tech-grade cloud infrastructure. Listen to Podcast](https://podcast.geekswholead.com/1788616/10632292?t=102) ### Running a podcast? We're happy to talk about multi-cloud, scale-to-zero economics, GPU workloads, and what running infrastructure for high-traffic SaaS teaches you. [Pitch us a guest spot](mailto:info@controlplane.com?subject=Podcast%20guest%20request). ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # About — Control Plane Source: https://controlplane.com/about # Virtualizing the cloud ## We're on a mission to let any development team leverage any cloud infrastructure as if it were one. Before founding Control Plane, Doron Grinstein spent years as a Chief Software Architect at Disney, SAP, Dell, and VMware, building infrastructure meant to help teams ship fast. It rarely did. On every project, the same Ops plumbing got rebuilt from scratch — networking, identity, TLS, observability, scaling. Brilliant engineers spent their days re-wiring the house just to plug in the TV. The deeper problem was fragmentation. Most companies don't run on one cloud; they run on a pile of substrates — bare metal, VMs, hand-maintained clusters, managed Kubernetes, serverless — stitched together with brittle glue and drifting apart every week. VMware had tamed a version of this a layer down, virtualizing hardware into resources you could manage as one. Doron wanted to do the same for every layer of the cloud: virtualize the whole matrix into one cloud you could actually manage. He left VMware in 2019 to build it, recruiting engineers — including CTO Dan Wilson — who'd fought the same problem for years. The result is Control Plane. It lifts every substrate to one abstraction — a region of your Global Virtual Cloud — so a bare Linux box behaves exactly like a managed cloud region. Deploy a workload once and it runs across any combination of clouds and hardware, while Control Plane handles routing, identity, TLS, observability, and failover. Run applications wherever they make the most sense: close to users, close to data, or near available GPU capacity. What VMware did for the server, Control Plane does for the cloud. ## Our team ![Doron Grinstein](https://controlplane.com/images/team/doron-grinstein.jpeg) Doron Grinstein Co-Founder and CEO ![Nathan McNeill](https://controlplane.com/images/team/nathan-mcneill.jpeg) Nathan McNeill Head of Marketing ![Dan Wilson](https://controlplane.com/images/team/dan-wilson.jpeg) Dan Wilson Co-Founder and CTO ![Edward Treska](https://controlplane.com/images/team/ed.jpeg) Edward Treska General Counsel ![Eric Kotler](https://controlplane.com/images/team/eric-kotler.jpeg) Eric Kotler Director of Customer Success ![Thomas Stewart](https://controlplane.com/images/team/tom-stewart.jpeg) Thomas Stewart Chairman, Co-Founder and CFO ![Taylor Stafford-Smith](https://controlplane.com/images/team/taylor-stafford-smith.jpeg) Taylor Stafford-Smith Chief of Staff ![Kyle Cupp](https://controlplane.com/images/team/kyle-cupp.jpeg) Kyle Cupp Director of Technology ![Julian Vassev](https://controlplane.com/images/team/julian.jpeg) Julian Vassev Chief Software Architect ![Hakan Karaduman](https://controlplane.com/images/team/hakan.jpg) Hakan Karaduman Director of Software Engineering ## Our core values Eleven principles that shape how we build Control Plane — and how we work with each other, our customers, and our partners. - 01 ### Team comes first We love our customers and investors, but our team is our family! We couldn't do anything without our squad. We'll do almost anything to make our customers happy, while maintaining our team's well-being, always, so we can delight our customers. - 02 ### Earn trust and be inclusive Trust is key to building strong relationships, so we keep it real by being honest, transparent, and respectful. We're all about creating a diverse and inclusive work environment where everyone feels valued, heard, and supported. - 03 ### Customer obsession Our customers are our top priority, right after the health and happiness of our team. We're all about exceeding expectations by understanding their needs, delivering innovative solutions, and providing exceptional support. - 04 ### Take ownership We want our team to take charge and act like entrepreneurs. We empower our people to make decisions and take initiative, creating a culture that promotes innovation, growth, and long-term success. - 05 ### Speak your mind Communication is the foundation of success, so we encourage everyone to share their ideas, concerns, and feedback without fear of judgment. We believe in honest and constructive conversations that drive growth and improvement. - 06 ### No politics We're all about fairness, equality, and mutual respect. We value our team's skills, expertise, and contributions, creating a politics-free work environment. We give credit where credit is due. - 07 ### Insist on excellence We're all about pursuing excellence in everything we do, from product development to customer service. We hold ourselves and each other accountable for maintaining the highest standards in quality, performance, and integrity. - 08 ### Think big and be bold We encourage bold thinking and embrace ambitious goals. We challenge the status quo and seek out new ideas that can transform the cloud computing industry. Let's take calculated risks and change the game! - 09 ### Never stop learning We value continuous learning and personal growth. Stay curious, ask questions, and explore new ideas to stay ahead of the competition. - 10 ### Think long-term We make decisions based on long-term value and invest in our future success. We're in it for the long haul, so let's focus on the big picture to navigate challenges and capitalize on opportunities. - 11 ### Take action We're all about being nimble and agile, making informed decisions and taking calculated risks. Let's embrace a culture that values action over inaction! - By embracing these values, Control Plane aims to create a thriving work environment that nurtures innovation, supports personal and professional growth, and drives our mission to revolutionize the cloud computing industry. ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Careers — Control Plane Source: https://controlplane.com/careers Careers # Help write the next chapter of cloud technologies We're a small team of cloud-native veterans, builders, and operators making infrastructure simpler for the next person. Open positions ## Where we're hiring Reach out if a role looks interesting, even if your background isn't a one-to-one match. - ### DevOps 1 open Santa Rosa Valley, CA · Israeli hours We're actively interviewing. Send a note and a recent résumé. - ### Engineering No open roles Remote · Global Always meeting talent. We'll keep your résumé on file for when something opens. - ### Marketing 1 open Remote · Global We're actively interviewing. Send a note and a recent résumé. - ### Human Resources No open roles Remote · Global Always meeting talent. We'll keep your résumé on file for when something opens. Send your résumé and the role you're interested in to [support@controlplane.com](mailto:support@controlplane.com). How we work ## A small, senior team that ships Most of us have spent careers making infrastructure simpler: at Disney, Dell, SAP Concur, VMware, and elsewhere. We work remotely, stay close to customers, and hold ourselves to eleven core values that shape how we build. [Read our core values](https://controlplane.com/about#core-values) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Partners — Control Plane Source: https://controlplane.com/partners Partners # Built Together Channel and technology partners helping you build unbreakable apps on Control Plane, from migrations and integrations to observability, compliance, and managed services. - [![Akamai logo](https://controlplane.com/images/partners/akamai.svg) Cloud Infrastructure ### Akamai Control Plane is an official Akamai technology partner: run workloads on Akamai's massively distributed cloud, with joint solution support from Akamai's architects. Find Control Plane in Akamai's technology partner directory to connect with their team.](https://www.akamai.com/technology-partners/directory?pid=controlplane-P-9261) - [![Logz.io logo](https://controlplane.com/images/partners/logzio.svg) Observability Platform ### Logz.io Open 360™ Platform combining logs, metrics, and traces with cloud-based SIEM. Integrates directly with Control Plane for detailed insights and AI-driven troubleshooting.](https://www.logz.io/) - [![HashiCorp logo](https://controlplane.com/images/partners/hashicorp-logo.svg) Infrastructure as Code ### HashiCorp Control Plane offers a Terraform plugin enabling users to define infrastructure as code in HashiCorp's HCL language, managing GVCs, workloads, identities, and policies alongside the rest of your stack.](https://www.hashicorp.com/partners/tech/control-plane) - [![Datadog logo](https://controlplane.com/images/partners/datadog-logo.svg) Observability & Monitoring ### Datadog Cloud-based monitoring and analytics platform providing full-stack observability. Integrates seamlessly with Control Plane for a unified view of your entire technology stack.](https://www.datadoghq.com/) - [![Coralogix logo](https://controlplane.com/images/partners/coralogix.png) Observability ### Coralogix Real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities. Control Plane supports seamless integration for observability data at scale.](https://coralogix.com/) - [![ShakaCode logo](https://controlplane.com/images/partners/shakacode.svg) Migration & Consulting ### ShakaCode Global software consultancy specializing in Ruby on Rails migrations to Control Plane. ShakaCode has successfully migrated high-traffic applications (including Popmenu, Blade, HiChee, Printivity, and Datacenters.com) and developed the open-source Control Plane Flow CLI.](https://www.shakacode.com/) - [![CloudGeometry logo](https://controlplane.com/images/partners/cloudgeometry.png) Systems Integrator ### CloudGeometry Cloud-native systems integrator specializing in modernizing enterprise applications and data platforms. Advanced Consulting Partner with AWS, Azure, and Databricks.](https://www.cloudgeometry.com/) - [![Enzu logo](https://controlplane.com/images/partners/enzu.png) Infrastructure Solutions ### Enzu Enzu has provided flexible, scalable, and affordable enterprise-class IT infrastructure for 18 years. TruCloud, TruAI, TruMetal, and Enzu Supercloud deploy across 1,800+ global data centers.](https://enzu.com/) - [![pgEdge logo](https://controlplane.com/images/partners/pgedge.png) Database Technology ### pgEdge Distributed PostgreSQL optimized for the network edge. Multi-master, multi-region, multi-cloud functionality available as a fully managed service.](https://www.pgedge.com/) - [![BreakFree Solutions logo](https://controlplane.com/images/partners/breakfree.png) Managed Services ### BreakFree Solutions Control Plane managed services provider offering continuous, follow-the-sun support for deployments and underlying infrastructure.](https://www.breakfreesolutions.com/) - [![Datacenters.com logo](https://controlplane.com/images/partners/datacenters.svg) Channel Partner & Marketplace ### Datacenters.com Technology marketplace and aggregator for data center services. Control Plane is a channel partner enabling Datacenters.com customers to expand to multi-cloud solutions.](https://datacenters.com/) - [![Secureframe logo](https://controlplane.com/images/partners/secureframe.svg) Compliance ### Secureframe 600+ companies use Secureframe to automate their SOC 2, ISO 27001, PCI DSS, and HIPAA compliance. Control Plane customers receive pricing discounts.](https://secureframe.com/) - [![Synadia logo](https://controlplane.com/images/partners/synadia-logo.png) Messaging & Connectivity ### Synadia NATS.io-powered solutions for cloud and intelligent edge computing: 100% cloud portability with ultra-low latency.](https://synadia.com/ngs) - [![APrime logo](https://controlplane.com/images/partners/aprime.png) Consulting & Implementation ### APrime Elite team of product managers, engineers, and data experts certified to help enterprises leverage Control Plane for cloud-deployed software projects, from creation to legacy modernization.](https://www.aprime.io/) - [![Arhasi logo](https://controlplane.com/images/partners/arhasi.png) AI Production Readiness ### Arhasi AI Command Center that helps enterprises build and operate production-ready AI agents for industry-specific workflows, running on Control Plane's Global Virtual Cloud™.](https://arhasi.ai/) Partner with us ## Build something with Control Plane If you're a consultancy, integrator, or platform that wants to work with Control Plane on customer engagements or technical integrations, we'd love to talk. [info@controlplane.com](mailto:info@controlplane.com) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Contact us — Control Plane Source: https://controlplane.com/contactus Contact # Get in Touch We'd be happy to provide information on Control Plane or connect you with the right person. ## Talk to us directly Reach the right team without the intermediary. We typically reply within one business day. - [General info@controlplane.com](mailto:info@controlplane.com) - [Support support@controlplane.com](mailto:support@controlplane.com) - [Phone +1 (650) 562-8900](tel:+16505628900) First Name (required)Last Name (required) Email (required) CompanyPhone Message (required) We'll only use your details to reply to your message. Send message ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Request a Demo — Control Plane Source: https://controlplane.com/requestdemo Live demo · 30 minutes # See Control Plane in action Schedule an in-depth live demo with a Control Plane engineer. ![Minga logo](https://controlplane.com/images/customers/minga-logo.png) > When we initially migrated to Control Plane, our cost savings were probably 30 to 40%. Possibly even more. ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga ![BÆRSkin logo](https://controlplane.com/images/customers/baerskin-logo.svg) > Control Plane positively impacted our daily operations by enabling us to host services in multiple regions with 99.999% availability and ultra-low latency — enhancing our customer trust. ![Gus Fune](https://controlplane.com/images/customers/gus-fune.jpeg) Gus Fune CTO, BÆRSkin First Name\* Last Name\* Work Email\* Role\* Select your roleDeveloper / EngineerDevOps / Platform / SREEngineering Leader (Director, VP, CTO)ArchitectFounderOther What infrastructure are you running today?\* Single cloud Multi-cloud Hybrid On-prem Average monthly spend\* Under $10k / mo Message (Optional) We'll only use your details to arrange your demo. Send --- # SOC 2 Type II Compliance — Control Plane Source: https://controlplane.com/compliance/soc2 Compliance # SOC 2 Type II Compliance Keep your business secure ### Security as a Company Value Control Plane Corporation’s security & compliance principles guide how we deliver our products and services, enabling people to simply and securely access the digital world. ### Secure Personnel Control Plane Corporation takes the security of its data and that of its clients and customers seriously and ensures that only vetted personnel are given access to their resources. - All Control Plane Corporation contractors and employees undergo background checks prior to being engaged or employed by us in accordance with local laws and industry best practices. - Confidentiality or other types of Non-Disclosure Agreements (NDAs) are signed by all employees, contractors, and others who have a need to access sensitive or internal information. - We embed the culture of security into our business by conducting employee security training & testing using current and emerging techniques and attack vectors. ### Secure Development - All development projects at Control Plane Corporation, including on-premises software products, support services, and our own Digital Identity Cloud offerings follow secure development lifecycle principles. - All development of new products, tools, and services, and major changes to existing ones, undergo a design review to ensure security requirements are incorporated into proposed development. - All team members that are regularly involved in any system development undergo annual secure development training in coding or scripting languages that they work with as well as any other relevant training. - Software development is conducted in line with OWASP Top 10 recommendations for web application security. ### Secure Testing Control Plane Corporation deploys third party penetration testing and vulnerability scanning of all production and Internet facing systems on a regular basis. - All new systems and services are scanned prior to being deployed to production. - We perform penetration testing both by internal security engineers and external penetration testing companies on new systems and products or major changes to existing systems, services, and products to ensure a comprehensive and real-world view of our products & environment from multiple perspectives. - We perform static and dynamic software application security testing of all code, including open source libraries, as part of our software development process. ### Cloud Security Control Plane Corporation Cloud provides maximum security with complete customer isolation in a modern, multi-tenant cloud architecture. Control Plane Corporation Cloud leverages the native physical and network security features of the cloud service, and relies on the providers to maintain the infrastructure, services, and physical access policies and procedures. - All customer cloud environments and data are isolated using Control Plane Corporation’s patented isolation approach. Each customer environment is stored within a dedicated trust zone to prevent any accidental or malicious co-mingling. - All data is also encrypted at rest and in transmission to prevent any unauthorized access and prevent data breaches. Our entire platform is also continuously monitored by dedicated, highly trained Control Plane Corporation experts. - We separate each customer’s data and our own, utilizing unique encryption keys to ensure data is protected and isolated. - Client’s data protection complies with SOC 2 standards to encrypt data in transit and at rest, ensuring customer and company data and sensitive information is protected at all times. - We implement role-based access controls and the principles of least privileged access, and review revoke access as needed. ### Compliance Control Plane Corporation is committed to providing secure products and services to safely and easily manage billions of digital identities across the globe. Our external certifications provide independent assurance of Control Plane Corporation’s dedication to protecting our customers by regularly assessing and validating the protections and effective security practices Control Plane Corporation has in place. ### SOC 2 Type 2 Control Plane Corporation successfully completed the AICPA Service Organization Control (SOC) 2 Type II audit. The audit confirms that Control Plane Corporation’s information security practices, policies, procedures, and operations meet the SOC 2 standards for security. Control Plane Corporation was audited by Prescient Assurance , a leader in security and compliance certifications for B2B, SAAS companies worldwide. Prescient Assurance is a registered public accounting in the US and Canada and provide risk management and assurance services which includes but not limited to SOC 2, PCI, ISO, NIST, GDPR, CCPA, HIPAA, CSA STAR etc. For more information about Prescient Assurance, you may reach out them at info@prescientassurance.com An unqualified opinion on a SOC 2 Type II audit report demonstrates to the Control Plane Corporation’s current and future customers that they manage their data with the highest standard of security and compliance. For a copy of our audit report, please contact [support@controlplane.com](mailto:support@controlplane.com). --- # PCI Compliance — Control Plane Source: https://controlplane.com/compliance/pci Compliance # PCI Compliance Keep your business secure ### Control Plane is Level 1 PCI DSS compliant Stripe is the payment information and credit card processing provider used by Control Plane. Security is a top priority for Control Plane, and as such, we have invested significant resources to obtain and maintain PCI compliance. This commitment to security is evidenced by annual on-site assessments and continuous risk management to ensure the platform remains secure for all of our users. For a copy of our PCI Attestation of Compliance (AoC), please contact [support@controlplane.com](mailto:support@controlplane.com). ### What is PCI? The Payment Card Industry Data Security Standard (PCI DSS) is a security standard for organizations that handle credit and debit card information. The standard was created to increase controls around payment data to reduce fraud. If you want to sell online and accept payments from Visa, Mastercard, American Express, or Discover, your software and hosting needs to be PCI compliant. --- # Terms of use — Control Plane Source: https://controlplane.com/terms-of-use Legal # Terms of use These Terms of Use govern Your access to and use of Control Plane's Website, Platform, and Services. By accessing or using the Website, Platform, or Services, You agree to these Terms. Last updated: September 1, 2026 These Terms are entered into between Control Plane and You and govern Your access to and use of Control Plane's Platform and Services. These Terms govern Your use of the Platform and, where applicable, are incorporated into any Order that references them. If You and Control Plane have entered into a Master Services Agreement, Order, Data Processing Addendum, confidentiality agreement, or other written agreement signed by both parties, that signed agreement will control to the extent it conflicts with these Terms. ## Definitions a. The "Agreement" refers, collectively, to all the terms, conditions, notices contained or referenced in this document (the "Terms of Use" or the "Terms") and all other operating rules, policies We may publish from time to time on the website. b. The "Platform" refers to the software applications, interfaces, products, and cloud resources provided by Control Plane. c. The "Website" refers to Control Plane's website located at [https://controlplane.com](https://controlplane.com/), and all content, services, and products provided by Control Plane at or through the website. It also refers to Control Plane-owned subdomains. These Terms also govern any other websites owned or controlled by Control Plane. d. "The User," "You," and "Your" refer to the individual person, company, or organization that has visited or is using the Website or Platform; that accesses or uses any part of the account; or that directs the use of the account in the performance of its functions. A User must be at least 13 years of age. e. "Control Plane," "We," and "Us" refer to Control Plane Corporation as well as its affiliates, directors, subsidiaries, contractors, licensors, officers, agents, and employees. f. "Content" refers to content featured or displayed through the Platform and Website, including without limitation code and related artifacts, text, data, images, designs, features, and other materials that are available on the Platform or the Website. ## Account Requirements and Required Information a. An account is set up by an individual human who accepts the Terms personally or on behalf of the account entity, provides a valid email address, and is responsible for its actions including payment for services by that individual or the entity they legally represent. b. Artifacts within the account and belonging to that account may be scripted and automated; c. Your login may only be used by one person — i.e., a single login may not be shared by multiple people. An account may create separate organizations ("Orgs") within an account and logins for as many users as its subscription allows. ## User Account Security a. You are responsible for all activity that occurs under Your account. b. You are responsible for maintaining the security of Your account, credentials and password. Control Plane cannot and will not be liable for any loss or damage from Your failure to comply with this security obligation. c. You will promptly notify Control Plane at [support@controlplane.com](mailto:support@controlplane.com) if You become aware of any unauthorized use of, or access to, our Platform through Your account, including any unauthorized use of any of Your accounts, credentials, and password. ## Data Security a. Your container images are accessible to Control Plane. They are only used by Control Plane to run your workloads and not for any other purpose. b. Our system leverages security protocols provided by AWS, GCP, Azure, and others. Control Plane uses technical and organizational safeguards designed to protect the Platform and Customer Content, but no security or availability measure can guarantee uninterrupted service or complete security. c. You may optionally grant Control Plane limited access to one or more of your cloud accounts. The degree of access granted to Control Plane is solely at your discretion. This access enables the Control Plane Platform to perform tasks on your behalf such as minting security tokens used by workloads to consume cloud resources in your selected accounts. You are not obligated to utilize such features of the Platform. When you choose to grant access to Control Plane, you can limit the scope to specific resources in your cloud account or accounts. ## Compliance with Laws a. Your use of the Platform must not violate any applicable laws, including copyright or trademark laws, export control laws, or other laws in Your jurisdiction. You are responsible for making sure that Your use of the Platform is in compliance with laws and any applicable regulations. ## Content Restrictions You agree that You will not under any circumstances deploy, upload, post, host, or transmit any content that 1. is unlawful or promotes unlawful activities; 2. is or contains sexually obscene content; 3. is libelous, defamatory, or fraudulent; 4. is discriminatory or abusive toward any individual or group; 5. contains or installs any active malware or exploits, or uses our Platform for exploit delivery (such as part of a command and control system); 6. infringes on any proprietary right of any party, including patent, trademark, trade secret, copyright, right of publicity, or other rights; or 7. is used to mine cryptocurrencies in any way. ## Conduct Restrictions While using Control Plane, You agree that You will not under any circumstances: 1. harass, abuse, threaten, or incite violence towards any individual or group, including Control Plane employees, officers, and agents, or other Control Plane Users; 2. use our Platform for any form of excessive automated bulk activity (for example, spamming), or relay any other form of unsolicited advertising or solicitation through our servers, such as get-rich-quick schemes. 3. attempt to disrupt or tamper with Control Plane's Platform in ways that could harm our Platform, to place an undue burden on Control Plane's Platform through automated means, or to access Control Plane's Platform in ways that exceed Your authorization. 4. impersonate any person or entity, including any of our employees or representatives, including through false association with Control Plane, or by fraudulently misrepresenting Your identity or site's purpose; or 5. violate the privacy of any third party. ## Platform Usage Limits You agree not to reproduce, duplicate, copy, sell, resell, exceed, or circumvent usage monitoring or exploit any portion of the Platform, use of the Platform, or access to the Platform without Control Plane's express written permission. ## User-Generated Content 1. Responsibility for User-Generated Content: You are solely responsible for the content of, and for any harm resulting from Your use of the Platform, regardless of the form of that Content. 2. Control Plane May Remove Content: We do not pre-screen User-Generated Content, but We have the right (though not the obligation) to refuse or remove any User-Generated Content that, in our sole discretion, violates any Control Plane terms or policies. ## Ownership of Content, Right to Deploy or Post, and License Grants You retain ownership of and responsibility for code, related artifacts, and other Content You create or own ("Your Content"). If You are deploying any code or Content You did not create or do not own the rights to, You agree that You are responsible for such Content; that You will only submit Content that You have the right to deploy; and that You will fully comply with any third party licenses relating to such Content. ## Confidentiality a. Control Plane considers the code and related artifacts deployed on the Platform to be confidential to You. Control Plane will protect the contents of private repositories from unauthorized use, access, or disclosure in the same manner that We would use to protect our own confidential information of a similar nature and in no event with less than a reasonable degree of care. b. If We have reason to believe the contents of Your Content are in violation of the law or of these Terms, We have the right to access, review, and remove them. Additionally, We may be compelled by law to disclose the contents of Your Content. ## Reservation of Rights Control Plane and our licensors, vendors, agents, and/or our content providers retain ownership of all intellectual property rights of any kind related to the Website and Platform. We reserve all rights that are not expressly granted to You under this Agreement or by law. You may not duplicate, copy, or reuse any portion of the documentation, GUI, API, CLI, or any other interface, HTML/CSS, JavaScript, or visual design elements or concepts without the express written permission of Control Plane. ## API Terms a. Abuse or excessively frequent requests to Control Plane via the API may result in the temporary or permanent suspension of Your account's access to the API. Control Plane, in our sole discretion, will determine abuse or excessive usage of the API. We will make a reasonable attempt to warn You via email prior to suspension. b. You may not share API tokens to exceed rate limitations on your account. c. All use of the Control Plane API is subject to these Terms of Use. ## Payment a. Pricing will be stated in the applicable Order or, if there is no Order, within the Platform or on Control Plane's pricing page. b. Usage-based Fees accrue continuously. Control Plane generally bills monthly in arrears but may charge Your payment method during the month whenever accrued and unpaid Fees reach a spending threshold assigned to Your account. Control Plane may establish or modify that threshold based on usage, account history, payment history, or reasonable financial-risk considerations. A spending threshold is a billing mechanism and does not limit Your usage or payment obligations. c. You authorize Control Plane to charge any valid payment method associated with Your account when a spending threshold is reached, at the end of a calendar month, upon cancellation, or upon termination. This may result in multiple charges during a calendar month. d. You must maintain valid and accurate payment information. If a charge fails, Control Plane may retry the payment method and will provide notice through Your account email, billing email, or the Platform. e. If an amount remains unpaid five calendar days after notice, Control Plane may, in its discretion, suspend or limit the Services. Control Plane may allow additional time without waiving its rights. Control Plane may suspend sooner where it reasonably suspects fraud, unauthorized use, or a material risk of nonpayment. f. If an amount remains unpaid fifteen calendar days after the first notice, Control Plane may terminate the account and Services. Suspension, cancellation, or termination does not eliminate Your obligation to pay Fees already incurred. g. Except as provided in an applicable SLA or signed agreement, Fees are non-refundable and no service credits are available for a suspension resulting from nonpayment. ## Cancellation and Termination a. It is Your responsibility to properly cancel Your account with Control Plane. You can cancel Your account at any time by using the billing portal in the Control Plane Platform web-based console. b. Upon cancellation, Control Plane will retain and use Your information as necessary to comply with our legal obligations, resolve disputes, and enforce our agreements, but barring legal requirements, We will delete Your full profile and the Content of Your applications within 90 days of cancellation or termination (though some information may remain in encrypted backups). This information cannot be recovered once Your account is canceled. ## Control Plane May Terminate While We prefer to give advance notice of termination, We reserve the right, in our sole discretion, to terminate your access to all or any part of the Websites and/or Services at any time, with or without notice. Control Plane reserves the right to refuse service to anyone for any reason at any time. ## Survival All provisions of this Agreement which by their nature should survive termination will survive termination, including, without limitation, ownership provisions, warranty disclaimers, indemnity, and limitations of liability. ## Legal Notices and Communications with Control Plane a. Communications made through email or Control Plane Support's messaging system will not constitute legal notice to Control Plane or any of its officers, employees, agents or representatives in any situation where notice to Control Plane is required by contract or any law or regulation. Legal notice to Control Plane must be in writing and sent to the following address: CONTROL PLANE CORPORATION 2558 BARBARA DR SANTA ROSA VALLEY, CA 93012 b. Control Plane only offers support via email, in-Platform communications, and electronic messages. We do not offer telephone support. We may choose to utilize Zoom or similar services in the course of resolving support cases at Our discretion. ## Disclaimer of Warranties Control Plane provides the Platform "as is" and "as available," without warranty of any kind. Without limiting this, We expressly disclaim all warranties, whether express, implied, or statutory, regarding the Website and the Platform including without limitation any warranty of merchantability, fitness for a particular purpose, title, security, accuracy, and non-infringement. Control Plane does not warrant that the Platform will meet Your requirements; that the Platform will be uninterrupted, timely, secure, or error-free; that the information provided through the Platform is accurate, reliable, or correct; that any defects or errors will be corrected; that the Platform will be available at any particular time or location; or that the Platform is free of viruses or other harmful components. You assume full responsibility and risk of loss resulting from Your downloading and/or use of files, information, services, content or other material obtained from the Platform. ## Limitation of Liability You understand and agree that Control Plane will not be liable to You or any third party for any loss of profits, use, goodwill, or data, or for any incidental, indirect, special, consequential, or exemplary damages, however arising, that result from: 1. Your use or inability to use the Platform; 2. any modification, price change, suspension or discontinuance of the Platform; 3. the Platform generally or the software or systems that make the Platform available; 4. unauthorized access to or alterations of Your transmissions or data; 5. statements or conduct of any third party on the Platform; 6. any other user interactions that You input or receive through Your use of the Platform; or 7. any other matter relating to the Platform. Control Plane's liability is limited whether or not We have been informed of the possibility of such damages, and even if any remedy set forth in this Agreement is found to have failed its essential purpose. We rely on third party hosting services and are not responsible for any interruption of service related to such services. We will have no liability for any failure or delay due to matters beyond our reasonable control. Except for liability that cannot lawfully be limited, Control Plane's aggregate liability arising out of or relating to the Services or these Terms will not exceed the Fees paid or payable by You to Control Plane for the Services giving rise to the claim during the twelve months preceding the event giving rise to liability. ## Release and Indemnification If You have a dispute with one or more Users, You agree to release Control Plane from any and all claims, demands and damages (actual and consequential) of every kind and nature, known and unknown, arising out of or in any way connected with such disputes. You agree to indemnify Us, defend Us, and hold Us harmless from and against any and all claims, liabilities, and expenses, including attorneys' fees, arising out of Your use of the website and the Platform, including but not limited to Your violation of this Agreement, provided that Control Plane (1) promptly gives You written notice of the claim, demand, suit or proceeding; (2) gives You sole control of the defense and settlement of the claim, demand, suit or proceeding (provided that You may not settle any claim, demand, suit or proceeding unless the settlement unconditionally releases Control Plane of all liability); and (3) provides to You all reasonable assistance, at Your expense. ## Changes to These Terms We reserve the right, at Our sole discretion, to amend these Terms of Use at any time and will update these Terms of Use in the event of any such amendments. We will notify Our Users of material changes to this Agreement, such as price changes, at least 30 days prior to the change taking effect by posting a notice on our website. For non-material modifications, Your continued use of the website constitutes agreement to Our revisions of these Terms of Use. We reserve the right at any time and from time to time to modify or discontinue, temporarily or permanently, the Website (or any part of it) with or without notice. ## Miscellaneous a. Except to the extent applicable law provides otherwise, this Agreement between You and Control Plane and any access to or use of the Platform are governed by the federal laws of the United States of America and the laws of the State of California, without regard to conflict of law provisions. You and Control Plane agree to submit to the exclusive jurisdiction and venue of the courts located in California. b. Control Plane may assign or delegate these Terms of Use, in whole or in part, to any person or entity at any time with or without Your consent. You may not assign or delegate any rights or obligations under the Terms of Use or Privacy Statement without Our prior written consent, and any unauthorized assignment and delegation by You is void. c. Throughout this Agreement, each section includes titles and brief summaries of the following terms and conditions. These section titles and brief summaries are not legally binding. d. If any part of this Agreement is held invalid or unenforceable, that portion of the Agreement will be construed to reflect the parties' original intent. The remaining portions will remain in full force and effect. Any failure on the part of Control Plane to enforce any provision of this Agreement will not be considered a waiver of our right to enforce such provision. Our rights under this Agreement will survive any termination of this Agreement. e. This Agreement may only be modified by a written amendment signed by an authorized representative of Control Plane, or by the posting by Control Plane of a revised version on Our Website. These Terms of Use represent the complete and exclusive statement of the agreement between You and Us. These Terms do not supersede a signed Master Services Agreement, Order, Data Processing Addendum, confidentiality agreement, or other signed agreement unless that agreement expressly states otherwise. f. Actions taken through APIs, software agents, Model Context Protocol tools, or other automated systems using Your credentials, permissions, or authorized connections will be treated as actions taken by You. You are responsible for configuring appropriate permissions and reviewing automated actions before using them in production or other consequential environments. --- # Privacy policy — Control Plane Source: https://controlplane.com/privacy-policy Legal # Privacy policy Control Plane Corporation respects your privacy and is dedicated to protecting the Personal Data it collects. The purpose of this Privacy Policy ("Policy") is to inform you about the privacy of your data while using the Control Plane Service. Last updated: September 1, 2026 This Privacy Policy discloses the privacy practices for the Control Plane platform, website and various related services (together referred to as the "Platform"), including related user interfaces. Control Plane Corporation, the provider of the Platform (referred to as "Control Plane", "Company", "We" or "Us") is committed to protecting your privacy online. Please read the information below to learn the following regarding your ("User") use of Platform. You acknowledge that this Privacy Policy is part of our Platform Terms of Use, and by using our Platform, you agree to be bound by all of its terms and conditions. If you do not agree to these terms, please do not access or use the Platform. Although most changes are likely to be minor, Control Plane may change our Privacy Policy from time to time. We will provide notification to Users of material changes through our website at least 30 days prior to the change taking effect by posting a notice on our home page and/or sending email to the email address specified in your primary account. You acknowledge and agree that it is your responsibility to maintain a valid email address as a registered user, review this Policy periodically and to be aware of any modifications. Your continued use of the Platform after such modifications will constitute your: (a) acknowledgment of the modified Policy; and (b) agreement to abide and be bound by the modified Policy. ## Types of Information Collected In order to better provide you with our numerous services, Control Plane collects two types of information about our users - Personally Identifiable Information and Non-Personally Identifiable Information. Our primary goal in collecting information from you is to provide you with a smooth, efficient, and customized experience while using our Platform. Personally Identifiable Information - This refers to information that lets Us know the specifics of who you are. When you engage in certain activities with the Platform, such as registering for an account, ordering a product or service, or sending the Company feedback, Control Plane may ask you to provide certain information about yourself or your company by filling out and submitting an online form. It is completely optional for you to elect to engage in these activities, however, We may ask that you provide Control Plane personal information, such as your first and last name, mailing address (including zip code), email address, and other personal identifying information. Depending upon the activity, some of the information We ask you to provide is identified as mandatory and some as voluntary. If you do not provide the mandatory data with respect to a particular activity, you will not be able to engage in that activity. Non-Personally Identifiable Information - This refers to information that does not by itself identify a specific individual. Control Plane gathers certain information about you based upon how you interact with the Platform in several ways. This information is compiled and analyzed on both a personal and an aggregated basis. This information may include the Uniform Resource Locator ("URL") that you just came from, which URL you next go to, what browser you are using, and your Internet Protocol ("IP") address. A URL is the global address of documents and other resources on the World Wide Web. An IP address is an identifier for a computer or device on a Transmission Control Protocol/Internet Protocol ("TCP/IP") network, such as the World Wide Web. Networks like the Web use the TCP/IP protocol to route information based on the IP address of the destination. In other words, an IP address is a number that is automatically assigned to your computer whenever you are surfing the web, allowing web servers to locate and identify your computer. Computers require IP addresses in order for users to communicate on the internet. ## Collection Methods and Use of Information Control Plane collects Personal Data that You provide directly, including account, contact, billing, support, and communications information. Control Plane also collects certain information automatically when You use the Website or Platform, including IP address, device and browser information, cookies, usage information, logs, and diagnostic data. Control Plane uses this information to provide, operate, secure, support, and improve the Website, Platform, and Services; process payments; communicate with You; resolve disputes; and enforce its agreements. ## Customer Data Processing When Control Plane processes Personal Data submitted to the Platform by or on behalf of a Customer, Control Plane generally acts as a service provider or processor on the Customer's behalf, and the Customer acts as the business or controller. Such processing is governed by the applicable customer agreement and, where applicable, a Data Processing Addendum. ## Release of Information Control Plane does not sell, trade, or rent your Personally Identifiable Information to others. We provide some of our services through contractual arrangements with affiliates, service providers, partners and other third parties. Control Plane and our service partners use your Personally Identifiable Information to operate our products and to deliver their services. For example, Control Plane must release your credit card information to the card-issuing bank or servicer to confirm payment for products and services purchased from the Company; and provide order information to third parties that help Control Plane provide customer service. Control Plane will encourage our service partners to adopt and post privacy policies. However, the use of your Personally Identifiable Information by our service partners is governed by the privacy policies of those service partners and is not subject to our control. Occasionally We may be required by law enforcement or judicial authorities to provide Personally Identifiable Information to the appropriate governmental authorities. Control Plane will disclose Personally Identifiable Information upon receipt of a court order, subpoena, or to cooperate with a law enforcement investigation. Control Plane fully cooperates with law enforcement agencies in identifying those who use our services for illegal activities. Control Plane reserves the right to report to law enforcement agencies any activities that We in good faith believe to be unlawful. ## Updating and Correcting Information Control Plane believes you should have the ability to access and edit the Personally Identifiable Information that you have provided to the Company. You may change any of your Personally Identifiable Information in your account online at any time by linking to your account in accordance with instructions posted elsewhere on the Platform interfaces. 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Control Plane retains Personal Data for as long as reasonably necessary to provide the Services and fulfill the purposes described in this Policy, including satisfying legal, tax, accounting, security, contractual, and dispute-resolution requirements. Retention periods may also be governed by an applicable customer agreement or Data Processing Addendum; (ii) Access, rectify or erase your personal information; (iii) Withdraw your consent to Control Plane's processing of your data, which shall have no effect on the lawfulness of the processing of your personal information prior to your withdrawal; (iv) Lodge a complaint with a supervisory authority that has jurisdiction over GDPR issues; and (v) Provide only your personal information which is reasonably required to enter into a contract with Control Plane. We will not ask for your consent to provide unnecessary personal information on the condition of entering into a contractual relationship with Control Plane. ## Miscellaneous Privacy Issues You are responsible for maintaining the confidentiality of Your password and account credentials and for using appropriate care when providing information online. If you have any questions about this Privacy Policy, the practices of this Platform, or your dealings with this Platform, please contact Control Plane by sending a letter to - CONTROL PLANE CORPORATION 2558 BARBARA DR SANTA ROSA VALLEY, CA 93012 User may also contact Control Plane via email at: info@controlplane.com --- # Acceptable use policy — Control Plane Source: https://controlplane.com/acceptable-use-policy Legal # Acceptable use policy Control Plane Corporation requires your use of the Services to comply with applicable law and to be consistent with our community standards. The purpose of this Acceptable Use Policy (“Policy”) is to inform you of our expectations regarding your use of the Services. By using or continuing to use a Service, you accept and consent to the rights, obligations, and practices described in this Policy. Last updated: September 1, 2026 ## Applicability This Policy applies to you and your Covered Users with respect to the Services. You shall be responsible for: (i) informing your other Covered Users, if any, of the existence of this Policy, as well as any amendments, updates, or modifications made to this Policy; and (ii) agreeing to this Policy, as amended, updated or modified from time to time, on behalf of all Covered Users. This Policy forms part of the Control Plane Corporation Terms of Use. Capitalized terms not defined in this Policy have the meanings given in the Terms of Use or, where applicable, a written agreement signed by Control Plane and the Customer. 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You acknowledge, understand, and agree that Control Plane Corporation shall not be required to issue warnings, reprimands, or undergo any formal or informal process prior to causing the Services to be interrupted, suspended, and/or terminated. ## Service Credits No service credit shall be available under the Terms of Use for interruptions, suspensions, or terminations of service arising from or related to any violation of this Policy. ## Changes Amendments to this Policy may be made at any time and you should check back frequently for any changes. Control Plane Corporation shall have the right and ability to amend this Policy at Control Plane Corporation's sole and absolute discretion, and any amendments herein shall be effective within fourteen (14) days of being posted by Control Plane Corporation or by your continued use of the Services, whichever is later. --- # Minga — A Virtual Cloud That Scales as Fast as Minga — Control Plane Source: https://controlplane.com/customers/minga 1. [Customers](https://controlplane.com/customers) 3. Minga Case Study ![Minga logo](https://controlplane.com/images/customers/minga-logo.png) # A Virtual Cloud That Scales as Fast as Minga > The less attention we spend on infrastructure and problems, the more we can focus on building solutions for our schools. Matt Zytaruk, VP of Technology, Minga Institution Snapshot Institution Minga Location Kelowna, BC, Canada Industry K–12 EdTech Minga is the campus management platform K–12 schools use for digital hall passes, tardy management, and rewards for positive behavior (PBIS). It is trusted by over 1,500 schools in 600 districts across 47 states. The company has over 100 employees and recently secured a $65M investment from Riverwood Capital to continue its growth trajectory of doubling nearly every year. Key Details - AI-native engineering team - 30–40% Lower Cloud Compute Costs - Multi-Cloud and Multi-Region Ready Problem ## The Velocity Gap on GKE Like most modern engineering teams, Minga's developers have leaned heavily into AI-assisted development. AI tools are in daily use for application code, and the team has been able to ship features faster than ever. But infrastructure couldn't move at the same pace. Before Control Plane, Minga ran on Google Kubernetes Engine, with container-based Node.js services on the back end, Angular on the front, and MySQL on Cloud SQL. Matt Zytaruk, Minga's VP of Technology, maintained the cluster with the help of two other engineers — but it was becoming more and more of a burden. No matter how fast the team could write and ship new code, getting it deployed and keeping it reliably available on GKE slowed everything down. GKE is service-oriented, not solution-oriented. Standing up a single workload requires touching many different places: the load balancer, the ingress, the SSL certificate, cert-manager, and the security mounts. The cluster's actual state drifted from what was committed in Git, and hiring help proved difficult — anyone Minga brought on needed months in the GKE world before they could be useful. > Whenever you want to build something, you have to go to five different places in GCP. If you're only doing it occasionally, it's confusing and slow. ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Tech, Minga Solution ## Building for Scale at Hypergrowth Speed Today Minga runs its workloads on Control Plane in GCP US-West while connecting to Cloud SQL, Redis, an SFTP server and the rest of its GCP-native services exactly where they were, inside a VPC accessed using Control Plane's Cloud Wormhole technology. Underneath, Control Plane runs on Kubernetes, but Minga doesn't have to manage Kubernetes directly. Cluster upgrades, kubelet compatibility, and node-pool surge settings are handled by the platform. ### AI-Native Cloud for AI-Native Teams AI-assisted development now extends into the infrastructure layer. Control Plane's MCP server is hooked into the SRE workflow, so engineers can diagnose issues and generate the changes they need in the same flow. Application engineers self-serve secrets and environment variables for their own workloads. > It's literally three or four clicks to get a workload running in Control Plane. ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk Minga ### Cloud Costs Conforming to the School Day (and Year) Minga's traffic profile is brutal — quiet at 5am, peaking at 11am, with seasonal swings from 5% of normal in summer to a new annual baseline every August. On GKE, autoscaling required hand-tuning the team didn't have time for, so they over-provisioned, keeping a floor of 10 pods overnight. On Control Plane, Minga scales aggressively — through 25, 40, 60, and 80 pods as load comes in, dropping to just 3 overnight. And thanks to Control Plane's Capacity AI, the team isn't trading availability or performance for the discount. ### Choosing the Right Cloud for the Job Some products Minga plans to build would benefit from AWS-only services. The next phase of growth includes migrating performance-sensitive workloads from GCP to AWS while keeping the rest in place — a project that would have been a non-starter on traditional infrastructure. Control Plane's Virtual Cloud changes that. Workloads can run in GCP and AWS at the same time and talk to each other through the platform's networking. As Minga expands into new geographies, the operational lift is, in Matt's words, "basically already done for us." ### Surprisingly Great Support There was one thing the team at Minga didn't expect. "Most cloud providers, unless you pay big money, you don't really get any support," Matt says. "But the Control Plane team has been right there with us. If I'm having an infrastructure issue, they'll jump in and help go through logs — even when it's not their fault." > When we initially migrated to Control Plane, our cost savings were probably 30 to 40%. Possibly even more. ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk Minga Summary Minga, like many hypergrowth SaaS platforms, needs infrastructure its customers can't break — even as usage fluctuates wildly across the day and across the season. With Control Plane, Minga can keep growing without worrying about whether the platform underneath will keep up. The next chapter for Minga is multi-cloud, multi-region, more workloads, and new products. The team can now take those moves on as projects worth doing rather than risks that get deferred. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/minga.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [![Kintsugi logo](https://controlplane.com/images/customers/kintsugi-logo.png) Sales Tax Compliance Automation ### Uptime Worth $4 Million a Minute ![Pujun Bhatnagar](https://controlplane.com/images/customers/pujun-bhatnagar.jpeg) Pujun Bhatnagar Co-Founder and CEO, Kintsugi](https://controlplane.com/customers/kintsugi) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Popmenu — Heroku to Control Plane — Control Plane Source: https://controlplane.com/customers/popmenu 1. [Customers](https://controlplane.com/customers) 3. Popmenu Case Study ![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) # Heroku to Control Plane > We host thousands of client domains from a single multi-tenant SaaS product in addition to various microservices, and Control Plane has the flexibility to configure routing as we want to. Justis Blasco, Co-Founder & CTO, Popmenu Institution Snapshot Institution Popmenu Location USA Industry SaaS As a leading innovator in restaurant technology, Popmenu is on a mission to make profitable growth easy for all restaurants. Digital marketing, online ordering and on-premises technologies headline a powerful product suite infused with artificial intelligence (AI), automation, and deep data on guest preferences. The company consolidates tools needed to engage guests, serving as a digital control center for more than 10,000 independent restaurants and hospitality groups in the US, UK, and Canada. Challenges Leading to Control Plane Exploration: Before adopting Control Plane, Popmenu faced challenges with their previous solution, Heroku. They struggled with limited flexibility in managing client domains and microservices, inefficient cost scaling, and constraints in meeting security and compliance requirements. These challenges hindered operational efficiency and developer productivity, prompting Popmenu to explore alternative solutions. Key Details - Flexible Routing - Enhanced Security Measures - Built-In Metrics & Log Aggregation - Seamless Environment Setup Problem ## Heroku's Limitations ### Limited Managed Solutions Popmenu struggled to find managed solutions that offered a streamlined developer experience and robust security measures. This led to increased operational overhead and hindered developer productivity. ### Inefficient Cost Scaling The price scaling options offered by Heroku Enterprise fell short of Popmenu's expectations. They were in search of better price scaling mechanisms that would align with their budgetary requirements and provide more predictable cost management. Heroku also lacked the option to separately adjust CPU and memory for fine-tuning efficiency. ### Security and Compliance Requirements Popmenu faced stringent security and compliance requirements, including vendor security and application-specific DNS routing. Failure to meet these standards could lead to data breaches, regulatory violations, and reputational damage. While Heroku offers a more compliant private tier for their dynos/add-ons, it comes at an extreme price tier. ### Deployment Flexibility Constraints The deployment options provided by their current system lacked the flexibility needed to customize startup time, health checks, and autoscaling configuration. This restriction limited scalability and optimization. > We were looking for a managed solution with a streamlined developer experience and better price scaling than Heroku Enterprise. We also had vendor security and application-specific DNS routing requirements, and Control Plane hit all the marks. ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO Solution ## Advancing Beyond Heroku ### Flexible Routing Control Plane offers robust routing capabilities that perfectly align with Popmenu's needs. Whether hosting thousands of client domains from a single multi-tenant SaaS product or managing various microservices, Control Plane provides the flexibility to configure routing as desired. This ensures efficient traffic management and seamless operation of diverse workloads. ### Enhanced Security Measures Security is paramount for Popmenu. While Heroku offers a more compliant private tier for their dynos/add-ons, it comes at an extreme price tier. In contrast, Control Plane provides robust security features out of the box. With features like workload management, secrets management, and permissions, Control Plane enables Popmenu to keep data within their Virtual Private Cloud (VPC) without impeding developer workflows. This ensures data integrity and compliance with stringent security standards. ### Seamless Environment Setup Setting up multiple environments is effortless with Control Plane. Popmenu can easily configure separate QA, staging, and production environments that roll up to central billing. This simplifies the management of diverse environments and facilitates streamlined development and testing processes. ### Real-Time Cost Reporting Control Plane's real-time usage data empowers Popmenu to monitor costs and efficiency improvements across their services. This visibility into cloud expenditure enables informed decision-making, leading to optimized resource utilization and cost savings. ### Deployment Flexibility and Simplicity Control Plane offers unparalleled deployment flexibility and simplicity. Popmenu finds it as easy or easier to deploy application images compared to Heroku. Additionally, Control Plane allows for extensive customization of startup time, health checks, autoscaling configuration, and more, without the need for third-party add-ons. For example, unlike Heroku, Control Plane provides the ability to separately adjust CPU and memory settings, a significant advantage for fine-tuning efficiency. This simplifies deployment processes and enhances operational efficiency. ### Built-in Metrics and Log Aggregation Popmenu is considering moving away from external APM/log aggregation products, thanks to Control Plane's built-in Grafana support. This feature provides comprehensive metrics and log aggregation capabilities, allowing Popmenu to gain deep insights into application performance and operational metrics within the Control Plane platform itself. ### Responsive Support Control Plane's responsive support team has been instrumental in Popmenu's success. Over the past year, the team has provided excellent support and delivered on feature requests much more rapidly than any other platform Popmenu has worked with. This ensures smooth operations and timely resolution of any issues that may arise. ### Key Performance Indicators (KPIs) Popmenu's primary KPIs for measuring the success of Control Plane implementation include application performance and infrastructure cost/efficiency. By focusing on these metrics, Popmenu can assess the impact of Control Plane on their operations and track the effectiveness of their cloud infrastructure management strategy. ### Terraform Support Popmenu uses Terraform Infrastructure as Code (IaC) to create a unified configuration that seamlessly manages compute resources through Control Plane while efficiently handling database and networking components via AWS. [ShakaCode](https://shakacode.controlplane.com/shakacode), a key technology partner of Popmenu, assisted in implementing CI/CD for Popmenu using Terraform, significantly simplifying the integration between Control Plane and AWS. This integration streamlined the infrastructure setup, reduced the complexity of managing disparate systems, and minimized manual errors. As a result, the team achieved smoother deployments, faster updates, and improved scalability, leading to a more reliable and agile infrastructure management process. > Over the past year the team has provided excellent support and delivered on feature requests much more rapidly than any other platform we've worked with. ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/popmenu.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [![Kintsugi logo](https://controlplane.com/images/customers/kintsugi-logo.png) Sales Tax Compliance Automation ### Uptime Worth $4 Million a Minute ![Pujun Bhatnagar](https://controlplane.com/images/customers/pujun-bhatnagar.jpeg) Pujun Bhatnagar Co-Founder and CEO, Kintsugi](https://controlplane.com/customers/kintsugi) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Inspectiv — A Virtual Cloud Built for Secure Inference — Control Plane Source: https://controlplane.com/customers/inspectiv 1. [Customers](https://controlplane.com/customers) 3. Inspectiv Case Study ![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) # A Virtual Cloud Built for Secure Inference > Building things is so much easier now. But then you hit architecture, security, infrastructure. Control Plane helps us clear that hurdle fast. Ross Hendrickson, CTO, Inspectiv Institution Snapshot Institution Inspectiv Location Culver City, CA, USA Industry Cybersecurity / Application Security Inspectiv is an AI-first security company that has spent about ten years securing some of the largest brands in the business, running large-scale bug bounty programs, scanning environments, and performing penetration testing. Its new AI-native product turns researcher findings into code-level fixes, running on Inspectiv's own AI inference layer. Key Details - Custom AI Inference Layer on Control Plane-Sourced GPUs - Guardrails for Shipping Secure Code at AI Speed - ~1/3 the Cost of DIY Infrastructure Problem ## Infrastructure Built for Yesterday's Problems Over the last two years, AI has multiplied the volume of work on both sides of Inspectiv's platform: customers are shipping more code, and researchers are submitting more findings. “With the advent of AI usage across the board, we are getting more code than we've ever had, with more vulnerabilities in it than we've ever had,” says CTO Ross Hendrickson. When Ross joined about four years ago, Inspectiv ran its infrastructure the way most companies do: build by hand and then babysit. They ran a couple of Kubernetes clusters on bare metal in a single region, no infrastructure as code, and a full-time ops person keeping it alive. That setup could have kept running. It just couldn't change easily. But Inspectiv's requirements were changing. First SOC 2 Type II showed up in enterprise deals. Then customers barred foundation-model APIs, which put Inspectiv in the business of running its own inference layer on GPUs. Then engineers started generating code faster than the deployment process could keep up. > Databases would fall over because we were running the databases inside of Kubernetes. Services would fall over. Products would stop. People couldn't log in. It was extremely chaotic. ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv Solution ## A Cloud Shaped to Their Workloads Ross evaluated emerging platforms and open-source options against clear criteria: “It needed to be out of the box, almost zero configuration on our side, and Kubernetes-native, so we're not doing something completely custom,” with support for Inspectiv's compliance requirements and uptime guarantees. Control Plane's model of combining clouds into one virtual cloud shaped to your workloads met the criteria. Today, Inspectiv's gateways route traffic through Control Plane to dozens of microservices, with Postgres underneath, NATS for event-driven messaging, AWS retained for the storage layer, and GPUs on the same fabric for inference. ### Security Out of the Box “We have secure workloads, we have least-privileged access to those secure workloads. A lot of things you used to have to piece together from different open source or different vendors, you just get out of the box with Control Plane.” > Control Plane makes it super simple for me to say yes to some of the things that used to be tremendously hard. ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv ## An Inference Layer on Their Own Terms Inspectiv's new AI-native product runs a find-and-fix loop: vulnerabilities come in from any source (pen tests, scans, the researcher community), and customers get code-level remediation guidance: “you basically get a PR to close out whatever the researcher community finds with automatic remediation validation.” Two years ago, while the first version was being built, Inspectiv's customers set a hard constraint: no data to the foundation-model providers. The answer was an inference layer of Inspectiv's own. “We have really sophisticated AI, and our customers' data is not going outside of our zone of control. It's us and Control Plane, and that's it.” > I had assumed there would be some level of support. But when things went wrong, we had five or six people in Slack threads, huddles going, Zoom calls, helping diagnose and fix. It's like getting an NBA team to come play your high school tournament for you. ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv Running custom inference on GPUs accessed through Control Plane lets Inspectiv deliver ready-to-apply fixes in a way that fits both its security model and its pricing model. “It gives us a bunch of advantages versus just straight up running inference tokens to a foundation model. We have cost controls. We have scalability. And we have security.” It also insulates them from foundation-model pricing swings: “It's really hard when a foundation model changes their pricing structure and suddenly it's 10x. With Control Plane, we follow our curve of usage. Our cost variance is never going to be more than our usage.” Also, sourcing the GPUs for their inference layer didn't require a new vendor: “I don't have to vet another vendor or go through compliance and security just to get access to specific GPUs.” > Our customers said: do not send my data to OpenAI. Do not send my data to Anthropic. We solved it by using GPUs in our own inference layer. ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv ### Guardrails: Secure Code at Velocity Inspectiv built its delivery process around strict controls. “What we've leveraged Control Plane for is streamlining the guardrails, the process to get code that's coming from AI secure and reviewed.” Engineers point AI at templates to stand up a new service on a subdomain, open PRs against infrastructure as code, and spin up ephemeral whole-stack environments for a couple of hours at a time. The internal bar is building a feature and releasing it in a day. “A lot of them have commented that this is the easiest platform to work on: everything out of the box, all in one platform. They can just go do their work.” ### More Infrastructure at the Same Cost Inspectiv's spend on Control Plane today is about what its infrastructure cost when Ross started, even as the platform has grown from a handful of microservices to dozens of systems plus the GPU inference layer, all scaling with usage. “When workloads are running, I'm billed. When they're not, I'm not.” > If I was to go build what we have and run it in a more traditional way, it would probably cost us three to four times as much. Plus I'd have to hire two or three experienced people just to run infrastructure. ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv Summary Inspectiv's old infrastructure solved the problems it was built for, and none of the ones that came after: a custom inference layer, secure code shipped at AI pace, enterprise compliance. Control Plane addressed all three requirements in a single platform. The same adaptability carries forward: new models, new security threats, new regulations, or the next shift in compute can be absorbed the way the last round was: by reshaping the virtual cloud, not rebuilding the infrastructure. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/inspectiv.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Kintsugi logo](https://controlplane.com/images/customers/kintsugi-logo.png) Sales Tax Compliance Automation ### Uptime Worth $4 Million a Minute ![Pujun Bhatnagar](https://controlplane.com/images/customers/pujun-bhatnagar.jpeg) Pujun Bhatnagar Co-Founder and CEO, Kintsugi](https://controlplane.com/customers/kintsugi) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Kintsugi — Uptime Worth $4 Million a Minute — Control Plane Source: https://controlplane.com/customers/kintsugi 1. [Customers](https://controlplane.com/customers) 3. Kintsugi Case Study ![Kintsugi logo](https://controlplane.com/images/customers/kintsugi-logo.png) # Uptime Worth $4 Million a Minute > For every minute that our sales tax API, if it were to go down, our customers are not able to collect roughly $4,000,000 in sales tax that they should be collecting. Pujun Bhatnagar, Co-Founder and CEO, Kintsugi Institution Snapshot Institution Kintsugi Location San Francisco, CA, USA Industry Sales Tax Compliance Automation Kintsugi automates indirect tax compliance for companies selling on the internet: registering as a seller in the right jurisdictions, collecting the correct amount of tax when an invoice is created, and filing and remitting at the end of the month. Two and a half years after starting with two founders and no customers, Kintsugi serves 7,300 customers in 110 countries. Key Details - 100ms Tax Calculations Inside Customer Checkouts - Workloads That Scale on Latency, Not Guesswork - 3,000 API Calls a Second From Some Customers Problem ## Outgrowing Lambda Kintsugi’s tax engine sits inside other companies’ checkouts. A shopper enters an address, the merchant’s platform calls Kintsugi, and the answer has to arrive before that shopper finishes paying. “Typically, a customer’s expectation is that we are returning the sales tax estimate on the invoice within 100 milliseconds,” says Pujun Bhatnagar, Co-founder and CEO. “If the customer finishes checking out before we respond, they just don’t collect sales tax,” says Marcus Bertrand, Engineering Lead at Kintsugi. The merchant still owes that tax at the end of the month, out of margin. Early on, Kintsugi ran that engine on AWS Lambda. “Lambda has quite a lot of limitations,” Bertrand says. “There’s a maximum amount of memory. Memory and CPU are very bound together.” The worse part was not knowing. “We would hit these limits and just kind of silently fail, and then discover that a little bit later,” Bertrand says. > If we didn’t pre-provision a whole bunch of Lambda workers ready to go, when it overflowed, it would just start timing out. This drove up costs. ![Marcus Bertrand](https://controlplane.com/images/customers/marcus-bertrand.jpeg) Marcus Bertrand Engineering Lead, Kintsugi Solution ## Multi-Cloud Infrastructure When Every Minute Counts Kintsugi ruled out going deeper into a single provider before they started shopping. “Almost immediately, we decided we weren’t going to go full native with any particular cloud provider,” Bertrand says. “We wanted a multi-cloud platform so that we had options for growth.” Control Plane runs Kubernetes underneath and keeps it out of the way. Kintsugi defines workloads in Terraform, scales them, and reaches back into the AWS services they already run without moving them. The fact that Control Plane is a hybrid platform that virtualizes resources in your existing cloud accounts made migration easy. ### Scaling on Latency, Not Guesswork Kintsugi’s demand has a shape, and it comes from tax law and retail. Traffic follows United States waking hours and tapers off around 6pm Pacific. Big shopping holidays push it up, and filings are due by the 20th in most jurisdictions every month. The API workloads scale on latency: when calls stack up and requests start queuing, they scale out. > Some customers are calling us 3,000 times a second. So it’s important to have an infrastructure that actually adapts to that need, than us adapting our business model to our infrastructure. ![Pujun Bhatnagar](https://controlplane.com/images/customers/pujun-bhatnagar.jpeg) Pujun Bhatnagar Co-Founder and CEO, Kintsugi ## A Migration with a Sixty-Second Undo Kintsugi migrated in small, reversible pieces. They stood up one workload without knowing how much memory to give it, connected Cloud Wormhole, and confirmed it could talk to their AWS database. Then they turned off a single Lambda and let the Control Plane workload pull from that SQS queue instead. “We have a proof of concept, and it works, and it’s within, you know, hours. Not days, weeks, or months,” Bertrand says. From there it was mostly repetition. Kintsugi is a monolith with four microservices that ships roughly the same container to a lot of different endpoints and queue handlers, so the workload definitions copied across. They right-sized in dev, ran load tests, then pointed DNS at the new workloads for half an hour late one night, turned it off, and read the logs to confirm nothing was dropped. Then they did it again. > All of that allowed us to have pretty much a sixty-second flip. If something didn’t work, we could go back very quickly. ![Marcus Bertrand](https://controlplane.com/images/customers/marcus-bertrand.jpeg) Marcus Bertrand Engineering Lead, Kintsugi The database stayed in AWS the whole time, which is what made the tests cheap. Eventually, “one day, we just turned it on, and it stayed on.” Deploys got faster on the way through. “The deploys are dramatically faster than Lambda,” Bertrand says. “We’re not waiting on CloudFormation.” > It’s all well and good to buy a platform that can do absolutely everything for you, but you have to get onto it from wherever you’re starting from. ![Marcus Bertrand](https://controlplane.com/images/customers/marcus-bertrand.jpeg) Marcus Bertrand Engineering Lead, Kintsugi ## Seeing What Lambda Hid Kintsugi had tried CloudWatch and then a separate Grafana Cloud instance, shuttling data over, and neither stuck. Control Plane includes Grafana, and Kintsugi had an AI tool generate the extra API dashboards they wanted on top of the built-in ones. “The included Grafana is a lifesaver,” Bertrand says. Services that had been scaling wrong for months were visible in the first dashboards. ## Cloud Where Your Customers Are Kintsugi’s workloads carry an identity rather than credentials. Universal Cloud Identity handles the AWS side, so a workload on Control Plane can use SQS and the database in Kintsugi’s own AWS account with nothing embedded in the container. As Kintsugi has moved up market, more of its customers arrive with rules about geography. “Whether that’s healthcare data, or they’re trying to get compliant with ISO 27001, there are needs where they want us to not store data in certain parts of the world,” Bhatnagar says. > We’ve had partners approach us and ask us to be in specific clouds and regions. And we’re like, yeah, we can totally do that. It is basically a checkbox away. ![Marcus Bertrand](https://controlplane.com/images/customers/marcus-bertrand.jpeg) Marcus Bertrand Engineering Lead, Kintsugi Summary Since moving to Control Plane, Kintsugi’s customer base has grown by at least 10x, but infrastructure has never been a sticking point. “One of the best compliments I’ve heard recently is, oh, we don’t worry about the infrastructure. We’re worried about delivering product,” Bertrand says. “It’s anticlimactic, but it’s also perfect.” Bhatnagar puts the alternative plainly: “If we were to do this manually, it would be incredibly hard. It would honestly require a team of engineers who are dedicated just to work on that problem alone, if a solution like Control Plane did not exist.” This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/kintsugi.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Meso AI — Cloud Arbitrage for Agent Swarms — Control Plane Source: https://controlplane.com/customers/meso-ai 1. [Customers](https://controlplane.com/customers) 3. Meso AI Case Study ![Meso AI logo](https://controlplane.com/images/customers/meso-ai.svg) # Cloud Arbitrage for Agent Swarms > Companies have to adapt fast — switch clouds, go on-prem and back to cloud, change scaling policies. Control Plane makes these shifts possible. And fast. Paolo Fabio Zaino, Engineer, Meso AI Institution Snapshot Institution Meso AI Location Los Angeles, USA Industry Agentic AI / Marketing Intelligence Meso AI is an agentic AI platform that watches the social media world in real time — surfacing emerging trends, tracking artists and assets, and giving marketing teams the situational awareness to act before a moment passes. The company's major customers include Fortune 1000 enterprises across entertainment and hospitality. Key Details - Push-Button Cloud Arbitrage Across AWS and GCP - Per-Workload Scaling Models on a Single Platform - SOC 2 Compliance Built In Problem ## How to Scale Globally with a Small Team? Meso AI's platform monitors the social media world for major record labels and global brands. The workload is bursty by design: a quiet baseline can explode into a viral moment in hours, and customers expect the platform to be ready when it happens. Under the hood, Meso runs a dynamically scaling, massively parallel multi-agent architecture — many independent workloads, each performing its own data-processing task against a high-volume, high-velocity, multi-source data stream. The demand isn't uniform: different workloads need very different scaling models, from real-time on-demand processing to steady daily batches to always-on services. On top of that, Meso wanted cloud flexibility — committed-use compute on AWS, fresh discounts on GCP, and they had a sense the math would keep changing. Doing this on raw Kubernetes across both clouds would have meant two infrastructure stacks, no shared identity, and at least one full-time engineer pulled off the product. > Control Plane enables us to deliver a SaaS product to enterprise teams across markets around the world, while at the same time maintaining our development momentum to roll out new features. ![Sven Brueckner](https://controlplane.com/images/customers/sven-brueckner.jpeg) Sven Brueckner CTO, Meso AI Solution ## The Right Cloud and Scaling for Each Workload Meso first migrated from EC2 fleets on AWS to Control Plane regions on AWS. A few months later, they moved from AWS to GCP regions on Control Plane with no major complications. Meso's environment runs on a Bring Your Own Kubernetes location: Control Plane manages the Kubernetes layer inside Meso's own GCP project, preserving committed-use pricing and native networking while keeping everything portable to any other cloud. On top of that platform, two choices get made per workload — how it scales, and where it runs. Both are push-button. Both can change without rebuilding anything. ### “Beautifully” Handled Scaling Profiles Meso's architecture spans many independent workloads, each with its own scaling profile — high-priority work that scales on demand, a steady daily baseline, dynamic workloads that spin up for peak load and wind down after, and a reserve held ready for surges. Always-on services run active-passive so updates roll through without downtime, and request-driven services scale with demand. Every workload gets the model that fits its shape. > All these different scaling models — Control Plane handled it beautifully. We just press a few buttons and let it go. PF Paolo Fabio Zaino Meso AI ### Hyperscale Clouds without the Lock-in Today, Meso runs primarily on GCP, but their AWS EKS cluster is connected via Control Plane's Bring-Your-Own-Kubernetes to their virtual cloud, making A/B testing of workloads on alternate clouds a push-button exercise. That enables Meso to optimize its processing across varying cloud pricing and capability landscapes. That same routing flexibility extends to regions: data can be sourced from Japan, Italy, Germany, or wherever a customer needs. Doing this by hand would mean maintaining Kubernetes on both clouds and a dedicated engineer; with Control Plane, the same Universal Cloud Identity setup extends to AWS the moment a workload flips over. ### A Vendor That Plays on Your Team With other cloud providers, getting help often turns into a tug-of-war over whose problem it is. Control Plane's team worked the opposite way — alongside Meso's engineers, treating Meso's problems as shared ones. It showed during the migration, when Control Plane stood up Meso's workloads on GCP within days despite minimal lead time, and it shows in the day-to-day. > Control Plane's support and engineering teams are literally making you shine. It's not just the platform. It's the whole company. You're playing on our team. PF Paolo Fabio Zaino Meso AI Summary Meso AI is a small engineering team running a real-time, massively parallel multi-agent platform for the world's largest record labels and major brands. With Control Plane, two decisions get made per workload, both push-button: how it scales, and where it runs. That lets a lean team keep shipping features for hundreds of users while the infrastructure adapts to whatever the social world and the cloud pricing landscape does next. > If a portion of our infrastructure is cheaper on GCP, we leave it there. If another is cheaper on AWS, we move it. PF Paolo Fabio Zaino Meso AI This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/meso-ai.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Jora AI — Infrastructure That Keeps Pace with AI — Control Plane Source: https://controlplane.com/customers/jora 1. [Customers](https://controlplane.com/customers) 3. Jora AI Case Study ![Jora AI logo](https://controlplane.com/images/customers/jora.svg) # Infrastructure That Keeps Pace with AI > Control Plane has really, really simplified how we manage our infrastructure. It allows us to move faster and focus on what matters for our customers. Cam Long, Co-Founder, Jora AI Institution Snapshot Institution Jora AI Location Canada Industry Legal Tech / AI Jora is an AI-powered conveyancing platform that helps real estate lawyers streamline property transactions. The platform uses AI and automation to handle document extraction, title mapping, identity verification, and workflow management – transforming what has traditionally been a complex, paper-heavy process into a faster, more reliable one. Founded in 2023, Jora's team of engineers, real estate experts, and former conveyancers builds a full-stack web application and integrated back-end services – all of which run on Control Plane. Key Details - ~60% Reduction in Cloud Costs vs. GCP - Dramatically Simplified Infrastructure Management - Native Infrastructure as Code Support Problem ## Stuck Between Cloud Run and Kubernetes Before moving to Control Plane, Jora's entire infrastructure – AI automation scripts, back end, and front end – was hosted on Google Cloud Platform (GCP). The company had been using GCP since its earliest days, running everything in a single region. The problem was that Jora's technology stack wasn't a great fit for the GCP services they were using. Jora's application is built on a Java framework that benefits from long-running processes, but GCP's simplest deployment option – Cloud Run – is designed for serverless, short-lived workloads. Jora was essentially using Cloud Run as a persistent server because the alternative – manually managing Kubernetes clusters through GCP – would have been a massive operational burden for a small team. > My very first internship was building and managing Kubernetes clusters for an enterprise. That sucks. It sucked then and it sucks now. ![Cam Long](https://controlplane.com/images/customers/cam-long.jpeg) Cam Long Co-Founder, Jora This mismatch meant Jora was paying more than they should have been for less performance than they needed. Solution ## Kubernetes Without the Time Suck Jora began migrating to Control Plane by first moving their development environment. Today, Jora runs its AI automation scripts, back end, and front end on Control Plane, while keeping its database on a managed service. Jora maintains a copy of the database in Canada for data sovereignty and another collocated with their Control Plane servers for low-latency performance. Control Plane runs Kubernetes under the hood across multiple clouds and cloud regions, but abstracts away the complexity, giving Jora ideal infrastructure for a global app without the hassle of K8s management. ### Infrastructure as Code, Out of the Box One of the deciding factors in choosing Control Plane was its native support for infrastructure as code. Unlike competitors that relied on community-maintained tooling, Control Plane offered an official, first-class way to define and manage infrastructure programmatically. > Control Plane takes care of the networking, the image management, the load balancers – I don't have to manage any of that anymore. ![Cam Long](https://controlplane.com/images/customers/cam-long.jpeg) Cam Long Co-Founder, Jora ### Simplified Identity and Networking One of the most impactful benefits has been the elimination of GCP's complex permission and networking layers. On GCP, Jora had to manage granular service account permissions, API gateways, load balancers, and intricate networking definitions. Control Plane's Universal Cloud Identity abstracts all of that away. Jora now manages only DNS settings and workload definitions. Networking, image management (Control Plane hosts Docker images at no extra cost), and identity management are handled by the platform. New team members find the system far more intuitive than GCP's sprawling configuration requirements. ### Reducing Cloud Costs The move to Control Plane has delivered significant cost savings for Jora. By properly matching their workload requirements to an infrastructure platform designed for long-running services, Jora reduced their cloud spend by approximately 60%. More importantly, Jora is getting significantly more value for that lower price. On GCP, the team was constrained by Cloud Run's serverless model. On Control Plane, they run two persistent back-end instances with proper CPU scaling. > It's actually significantly less money, and we get way more out of it. ![Cam Long](https://controlplane.com/images/customers/cam-long.jpeg) Cam Long Co-Founder, Jora ### Multi-Cloud Ready While Jora currently runs in a single region, the move to Control Plane has positioned them for effortless expansion when the time comes. Long notes that adding additional regions would require virtually zero configuration beyond enabling the new location – a capability that was a key factor in choosing the platform. The multi-cloud architecture also provides resilience. If one cloud provider experiences an outage, Jora has the ability to shift workloads to another provider – a safety net that would have required significant engineering investment to build on GCP alone. Summary By eliminating the complexity of Kubernetes management, GCP permissions, and networking configuration, Control Plane has freed Jora's engineering team to focus on building the future of AI-powered conveyancing rather than wrestling with infrastructure. With approximately 60% lower cloud costs, dramatically simpler infrastructure management, and a clear path to multi-cloud and multi-region, Control Plane provides Jora enterprise-grade cloud infrastructure that's built for AI-native speed. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/jora.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Subject — Scaling an Education Platform Securely — Control Plane Source: https://controlplane.com/customers/subject 1. [Customers](https://controlplane.com/customers) 3. Subject Case Study ![Subject logo](https://controlplane.com/images/customers/subjectLogo.svg) # Scaling an Education Platform Securely > Control Plane's ease of use and the ability to see everything in one place has made a real difference for our team. NANTANA MINALE, DIRECTOR OF ENGINEERING Institution Snapshot Institution Subject Location USA Industry Education Subject is an accredited learning platform that empowers school districts to deliver quality education to any learner – augmenting a district's existing educators. The company is addressing a huge problem in the current education system, and one made even more pressing by the pandemic: how to deliver equal educational opportunities amid vast inequalities in socioeconomic status, district resources, and educator staffing. The company delivers video-based courses through a frontend React portal for students and educators paired with an internal administration interface. Both frontends interact with backend services through a REST API. Key Details - Streamline SOC2 Compliance - Use Both AWS & GCP - Increased Developer Productivity Problem ## Staying Focused on Student Outcomes The large and growing demand for solutions which help to level the educational playing field has kept Subject's growth at a rapid clip but in order to continue this level of expansion, Subject must also maintain strict security controls for district compliance and student privacy. Additionally, Subject's platform must deliver relatively low latency and high availability for students and educators. Scale, security, and availability, however, are merely table stakes. For Subject to deliver successful educational experiences to its students, it must create a fine-tuned user experience – one that's obsessively-focused on the student's learning outcomes. This level of focus is hard to maintain while also addressing core infrastructure requirements. > For us to work with these large school districts, we need to ensure student privacy and be able to check the right boxes. Control Plane makes this much easier. ![Nantana Minale](https://controlplane.com/images/customers/subject_nantana_minale.jpg) Nantana Minale Director of Engineering, Subject Solution ## A Foundation for Growth Subject began using Control Plane almost from the beginning of their journey after initially considering implementing Kubernetes clusters in both GCP and AWS. The company is currently using AWS for video processing and hosts their frontend applications on Vercel. Subject's backend is deployed on Control Plane running on Google Cloud Platform (GCP) and these workloads are backed by a Postgres database hosted natively on GCP. Control Plane has allowed Subject to address a number of key challenges they face as a young and growing company: ### Choosing the Best Tool for the Job Subject wanted the flexibility to choose the best cloud for the job – and they had multiple jobs to perform. When Subject was first starting out, this push for flexibility had the added benefit of allowing the company to take advantage of credits offered by multiple cloud providers. Control Plane interfaces with disparate infrastructure, enabling Subject to deploy to GCP while connecting easily with other cloud services – with flexibility for the future to use multiple regions of multiple clouds. > The database is on Google cloud and our other infrastructure is on Control Plane and the integration is pretty seamless. ![Nantana Minale](https://controlplane.com/images/customers/subject_nantana_minale.jpg) Nantana Minale Director of Engineering ### Security and Audit for SOC 2 Subject is progressing toward SOC 2 certification, which will give them an advantage when working with larger, security-sensitive school districts. Control Plane's complete audit trail of every developer action along with functionality for fine-grained access control moves the company closer to this goal. ### Flexibility and Ease of Use for Growth According to Subject, the Control Plane developer experience is easy to reason about and enables them to stay focused on the user experience of students and educators. This has also enabled new members of the team to begin contributing more quickly. Having a Global Virtual Cloud within Control Plane that is split into production and development environments with clear separation has increased developer efficiency. ### A Productive Partnership The Control Plane team has formed a great relationship with Subject's engineering team and helped them institute security best practices for access control and data security, starting with Control Plane and extending outward to other aspects of Subject's infrastructure. Subject's Director of Engineering Nantana Minale has appreciated this holistic approach to problem solving along with Control Plane's responsiveness to routine support issues. > Usually, your support team is able to address the problems we bring to them on the same day. ![Nantana Minale](https://controlplane.com/images/customers/subject_nantana_minale.jpg) Nantana Minale Director of Engineering Summary Subject is working to empower learners, educators, and school administrators through an education platform that unlocks opportunities. Control Plane enables Subject to deliver this platform reliably, securely, and flexibly, even as the company's infrastructure needs grow and change. > Control Plane's ease of use and the ability to see everything in one place has made a real difference for our team. ![Nantana Minale](https://controlplane.com/images/customers/subject_nantana_minale.jpg) Nantana Minale Director of Engineering This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/subject.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # DIV Brands — Scaling with 99.999% Availability — Control Plane Source: https://controlplane.com/customers/div-brands 1. [Customers](https://controlplane.com/customers) 3. DIV Brands Case Study ![DIV Brands logo](https://controlplane.com/images/customers/divbrands-logo.svg) # Scaling with 99.999% Availability > The ability to operate on multiple clouds enhanced overall reliability. Gus Fune, CTO, DIV Brands Institution Snapshot Institution DIV Brands Location Switzerland Industry E-Commerce [DIV Brands](https://baerskintactical.com/) is a direct-to-consumer brand holding company that launches and scales offers online through performance marketing, with in-house creative and tech teams. They operate remotely, with contributors from operating from 19 countries around the world. Their brands include [BÆRSkin](https://baerskintactical.com/), one of the most sold hoodies in america and Hyper Arch Motion, an orthopaedic line of sneakers. Challenges Leading to Control Plane Exploration: DIV Brands embarked on their journey seeking reliability and scalability in ecommerce operations due to challenges with unstable vendor relationships and downtime affecting revenue. They turned to Control Plane for a scalable, reliable, and multi-cloud solution. Control Plane Features That Stood Out: 99.999% Availability and ultra-low latency for all end-users; PCI Compliance with comprehensive audit trail and fine-grained access control; 24/7 technical support; Flexibility to mix-and-match any combination of backing services from AWS, GCP, and Azure without dealing with credentials and complex IAM policies. Key Details - Control Plane's SLA of 99.999% High Availability - Multi-Cloud Flexibility - PCI Compliance and Security Assurance - Single-Pane-of-Glass to Manage Multiple Environments Problem ## Rethinking Resilience in E-commerce In the dynamic realm of e-commerce, DIV Brands encountered a series of challenges that prompted a strategic reassessment of their operational landscape. One of the primary hurdles they faced was the instability stemming from vendor relationships. Downtime issues and a lack of reliability from e-commerce providers led to significant revenue disruptions, forcing DIV Brands to reevaluate their technological infrastructure. The e-commerce sector places a premium on high availability and reliability. For DIV Brands, the pivotal moment came when they decided to part ways with a vendor that failed to provide the stable foundation crucial for seamless online transactions. Recognizing the critical importance of a robust and scalable solution, they embarked on a journey to build an in-house infrastructure that could meet their specific needs. The imperative was not only to address existing challenges but also to proactively position themselves for future growth and global expansion. Scalability and global accessibility became non-negotiable criteria in their search for an ideal solution. Traditional e-commerce providers were falling short of meeting these requirements, leading DIV Brands to explore alternatives that could provide a more resilient foundation. The decision to delve into the capabilities of Control Plane was born out of the need for an internal developer platform that guaranteed reliability and scalability. > The decision to delve into the capabilities of Control Plane was born out of the need for an internal developer platform that guaranteed reliability and scalability. ![Gus Fune](https://controlplane.com/images/customers/gus-fune.jpeg) Gus Fune CTO Solution ## Secure Scalability & Reliability ### Control Plane's SLA of 99.999% High Availability Service Level Agreements (SLAs) were a crucial KPI for DIV Brands. Control Plane positively impacted DIV Brands' daily operations by enabling them to host services in multiple regions with 99.999% availability and ultra-low latency boosting their customer trust. The ability to operate on multiple clouds enhanced overall reliability, addressing the company's concerns about potential outages and disruptions. ### Responsive Support and Implementation Ease The journey with Control Plane was not just about technology; it was about partnership. DIV Brands commended Control Plane's support team for their responsiveness and unwavering assistance throughout the implementation process. The platform's user-friendly interface and straightforward implementation process ensured a seamless transition, minimizing disruptions to daily operations. > Control Plane positively impacted DIV Brands' daily operations by enabling us to host services in multiple regions with 99.999% availability and ultra-low latency - enhancing our customer trust. ![Gus Fune](https://controlplane.com/images/customers/gus-fune.jpeg) Gus Fune CTO ### PCI Compliance and Security Assurance Security is paramount in e-commerce, especially when dealing with luxury and lifestyle products. Control Plane's PCI compliance out of the box provided DIV Brands with a robust security framework, streamlining their adherence to industry standards. This not only fortified their defenses against potential threats but also eliminated the need for cumbersome compliance procedures. ### Multi-Cloud Flexibility One of Control Plane's standout features was its support for multi-cloud deployment. DIV Brands harnessed this capability to diversify their cloud strategy, ensuring resilience and mitigating risks associated with relying on a single cloud provider. The multi-cloud flexibility empowered DIV Brands with a strategic advantage in managing their digital infrastructure. ### Holistic Infrastructure Management Control Plane's holistic approach to infrastructure management stood out as a differentiator. By providing an internal developer platform, Control Plane empowered DIV Brands with cloud-native maturity without the exhaustive investments typically associated with achieving such a status. The platform streamlined complex processes, offering a single pane of glass for managing multiple environments and enhancing overall observability and security. Summary The partnership's success lay in the precise alignment of Control Plane's capabilities with DIV Brands' aspirations. The platform's high availability, as evidenced by a remarkable SLA of 99.999%, addressed one of DIV Brands' pivotal concerns - ensuring uninterrupted service to their global customer base. This achievement not only met industry standards but exceeded them, reinforcing DIV Brands' commitment to reliability and customer trust. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/div-brands.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Linker Finance: Fast, Consistent Deployments — Control Plane Source: https://controlplane.com/customers/linker-finance 1. [Customers](https://controlplane.com/customers) 3. Linker Finance Case Study ![Linker Finance logo](https://controlplane.com/images/customers/linker-finance.svg) # Accelerating Innovation: Enabling Fast, Consistent Deployments > Before Control Plane, our releases were unpredictable, sometimes taking over an hour. Now, our deployments happen in a matter of minutes, drastically improving our engineering efficiency. Pete Torres, SVP of Engineering Institution Snapshot Institution Linker Finance Location Pasadena, CA Industry FinTech Community banks are the backbone of small businesses, providing 60% of SMB loans and 80% of agricultural loans. While they're thriving and expanding their reach, many still struggle to streamline operations, eliminate paperwork, and reduce manual back-office work. Linker Finance helps community banks grow deposits securely online, simplify business onboarding, and launch modern financial products all without requiring a core conversion. As a fast-moving fintech, Linker's engineering team prioritizes security, speed, agility, and scalability, ensuring that infrastructure supports momentum rather than slowing it down. Challenges Leading to Control Plane Exploration: Before adopting Control Plane, Linker Finance was managing infrastructure manually through the AWS console. This created bottlenecks in their deployment process and, as a result, deployment times were long, inconsistent, and often unpredictable. Linker Finance wanted to give the team more autonomy to deploy environments securely, improve efficiency, replicate environments across regions, and scale the capabilities of the DevOps Engineering team. Key Details - Reduced Deployment Time - Greater Developer Autonomy - Structured, Consistent Release Practices - Collaborative Partnership Problem ## When Growth Meets Deployment Friction ### Unpredictable & Lengthy Deployment Times Before adopting Control Plane, Linker Finance had a functional AWS setup in place, but deployment times varied and could occasionally stretch longer than desired. The team saw an opportunity to bring more consistency and speed to this process, aiming to better support their growing release cadence. ### Reducing Infrastructure Bottlenecks Infrastructure management was handled by a core group of engineers, which ensured stability but also meant deployments and updates were funneled through a limited set of hands. With ambitions to scale and empower more of the engineering team, Linker looked to streamline access and distribute operational ownership more effectively. ### Enhancing Structure and Observability Linker was already clear on how they wanted to manage their cloud environment, but recognized that introducing a more structured DevOps approach could help improve repeatability, visibility, and long-term scalability, all without disrupting their existing AWS setup. > Deployment was a black box, only a few people had access, and everything had to go through them. It slowed us down and made the process hard to predict. ![Pete Torres](https://controlplane.com/images/customers/pete-torres.jpeg) Pete Torres SVP of Engineering Solution ## Scale, Speed, and Consistency ### Faster, More Predictable Deployments With Control Plane, Linker Finance streamlined their deployment process, achieving faster turnaround times and greater consistency across environments. The automation and structure introduced by Control Plane helped reduce operational friction and made it easier to support iterative development and time-sensitive launches. ### Developer Autonomy & DevOps Adoption Control Plane made infrastructure more accessible across the engineering team, reducing dependencies on a single group. This shift enabled broader participation in deployment workflows and fostered a more DevOps-aligned approach to delivery and infrastructure management. ### Best Practices & Observability, Baked In Control Plane introduced built-in tooling such as Kubernetes integration, structured release workflows, and improved observability. These capabilities helped the team reinforce scalable practices around multi-tenancy, infrastructure management, and performance, setting a solid foundation for growth and continuity. > As we were exploring services and cloud providers, we wanted to adopt a solution that affords us the ability to scale geographically with our users. Additionally, we wanted to ensure we could move between cloud providers with ease. Control Plane provides that flexibility, and doesn't lock us into a cloud provider vendor. ![Pete Torres](https://controlplane.com/images/customers/pete-torres.jpeg) Pete Torres SVP of Engineering Summary Linker Finance partnered with Control Plane to remove infrastructure friction and empower developers. Now, with faster deployments and better processes in place, their engineering team is free to focus on what they do best: building and improving the product. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/linker-finance.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # SAFE Health — Multi-Region Without the Hassle — Control Plane Source: https://controlplane.com/customers/safehealth 1. [Customers](https://controlplane.com/customers) 3. SAFE Health Case Study ![SAFE Health logo](https://controlplane.com/images/customers/SAFE_logo.webp) # Multi-Region Without the Hassle > For us to do the kind of work that Control Plane is doing, we would have had to hire 10-15 skilled DevOps engineers. And probably 30 as we expand our infrastructure internationally. Engineering Leader, SAFE Health Institution Snapshot Institution SAFE Health Location USA Industry Health Tech SAFE Health is a Digital Health and Connected Diagnostics Marketplace Platform that is operated in partnership with the Mayo Clinic. With SAFE, organizations can launch digital health apps in weeks – helping to triage low-acuity health issues through digital diagnostics, provider teleconferencing, integrated prescription delivery, and more. The SAFE app can be white-labeled and customized extensively to integrate the insurance, provider, diagnostic, and pharmaceutical preferences of their customers. To protect patient privacy, SAFE is built on a zero-trust architecture, exacting strict controls on each workload and enforcing the principle of least privilege for each engineer contributing to the application. Key Details - Save 75% on Cloud Costs Compared to AWS - Equivalent of 15 DevOps Engineers - Migrated 8 Environments from AWS to Multi-Region on Control Plane Problem ## A Shortage of Talent and Time Before moving to Control Plane in 2021, SAFE's infrastructure was built on AWS EKS (Elastic Kubernetes Service), using KNative to provide the efficiency benefits of serverless without the limitations of Lambda. SAFE also maintained an event plane using NATS.io through NGS, a machine learning layer, and several databases (S3, NoSQL, Big Query, etc.). This infrastructure was implemented on a single region of AWS, but SAFE Health needed to expand to multiple regions very soon. Implementing Istio as a service mesh for multiple Kubernetes clusters was the obvious way to address the challenge, but finding DevOps engineers who were versed not only in Kubernetes but also in the high-order thinking that Istio required was a huge obstacle. SAFE recruited nationwide but struggled to find even one or two of the 10-15 highly-specialized engineers SAFE Health knew would be required to build and manage a multi-region infrastructure. In the process of addressing this issue, SAFE Health spoke to Jim Nasr, the former Chief Software Architect of the Centers for Disease Control and the current CEO of Acoer. Acoer had been using Control Plane for several months, and Nasr suggested that it might be a great solution for SAFE as well. By that point, SAFE Health had found a single DevOps engineer, but by moving to Control Plane was able to avoid the time and expense of 10+ additional hires. SAFE Health worked with [APrime](https://aprime.io/), a Control Plane implementation partner who assisted in a smooth transition to the Control Plane Platform. ### Anticlimactic Migration SAFE Health's team of 80 engineers ran 9 environments in AWS delivering reliable service to their customers. As of today, all but one of those environments has been moved to Control Plane. SAFE Health was surprised by how smoothly the migration went. Normally, moving production environments is a long and frustrating ordeal but the move to Control Plane has been shockingly non-eventful. Most of the benefits of the migration to Control Plane have accrued to internal operational improvements – the ability to do more faster at less cost – but what SAFE's customers may notice is the increased pace of innovation and responsiveness enabled by new engineers focused on customer problems who might otherwise be dedicated to infrastructure. > We migrated 8 environments from AWS to Control Plane and no one noticed! Everything just worked. It sounds anticlimactic, but I'm telling you, that's not the norm. What the team at Control Plane is doing is rocket-science-level work. EL Engineering Leader SAFE Health ### Reducing Cloud Costs For the SAFE Health engineering team, the results of using Control Plane have been immediate and dramatic. Not only has SAFE been able to continue its meteoric growth without hiring an army of DevOps engineers and SREs, but they have also been able to decrease their cloud costs by 75%. Where these savings come from is both simple and complicated. On the one hand, the cost of compute on Control Plane is less for SAFE because the company uses Control Plane's proprietary Capacity AI technology to scale workloads to zero when not in use or near-zero for workloads they cannot afford to cold-start. On the other hand, much of the company's AWS cost was incurred not by compute (which could be scaled to some degree) but by VPNs, gateways, load balancers, and other services which they could neither scale nor turn off when not in use. Many of these services are available as part of the Control Plane platform for no additional cost. ### Multi-Region & Multicloud One of the primary benefits of the move to Control Plane is that an environment (a Global Virtual Cloud, or GVC) can be provisioned with any number of regions without increasing the complexity of the environment. This flexibility to add and subtract regions helps SAFE not only by ensuring consistently low latency across customer locations, but also by giving SAFE control over jurisdiction (where compute takes place and where data is stored) - an important regulatory issue in the healthcare industry. Control Plane also accommodates SAFE's zero-trust policy by enabling developer and workload permissions to be managed granularly. As an example, SAFE uses Synadia NGS (managed NATS.io) as its "nervous system" and would ordinarily have to embed credentials in each workload that communicates with the NGS service. However, using Control Plane's Universal Cloud Identity, SAFE can associate one or more identities in Control Plane to their NGS account which enables workloads to communicate natively. This not only reduces the burden on SAFE developers but also enables top-down administrative control over the permissions of each developer and each workload. > We currently run everything on multiple regions of AWS, but are going to add GCP. But with Control Plane adding GCP regions is trivial. It's a switch. EL Engineering Leader SAFE Health Summary SAFE Health has utilized Control Plane to enable its expansion to a multi-region infrastructure, which has translated to faster innovation and direct customer value. > We've reduced our AWS spend by 75% using Control Plane. We spend less for compute because we can scale to zero with Capacity AI, but the big savings is that with Control Plane a lot of the extras we had to pay for in AWS are built in for free. EL Engineering Leader SAFE Health This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/safehealth.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Verdova — Multicloud That's Flexible and Fast — Control Plane Source: https://controlplane.com/customers/verdova 1. [Customers](https://controlplane.com/customers) 3. Verdova Case Study ![Verdova logo](https://controlplane.com/images/customers/verdovaLogo.png) # Multicloud That's Flexible and Fast > Control Plane has allowed us to go from concept to production so much faster than before. Something that would take days or weeks can be accomplished in hours. Max Feinberg, CTO, Verdova Institution Snapshot Institution Verdova Location USA Industry Ag Data Analytics The machinery and technologies used on the farm to grow crops increasingly grow data also – whether the GPS track of a planter, the fuel consumption of a combine, or the average tons-per-acre of a spreader. For most farms, even large ones, this data is too fragmented and siloed to be useful to the grower – or anyone else for that matter. Verdova works with growers to aggregate data, cleanse and process it into meaningful data products valuable to buyers up and down the agricultural value chain, and return 85% of the proceeds back to the grower as an alternative revenue source. To serve their growing customer base, Verdova stores and cleanses large volumes of macro-level and micro-level agricultural data ingested from the systems and applications used by growers and presents this data through an API and frontend applications. Key Details - 30% Developer Time Savings - Multicloud and Multi-Region on AWS and GCP - Cost-Efficient Scaling Problem ## The Search for a DevOps Robot The CTO of Verdova, Max Feinberg, worked at NASA earlier in his career on the Astrobee – a free-flying robotic system designed to help astronauts with routine tasks, freeing them up for more strategic duties. In the aerospace industry, product releases required months of pre-planning, with substantial buffer zones for deployment. However, even years after leaving NASA, Feinberg found himself allocating a week or two of each cycle to deployment and stressing over all the things that could go wrong. This stress was compounded by the fact that Verdova was using services from AWS, Google Cloud Platform (GCP), and Azure. For them, the arrangement allowed them to choose best-of-breed services, but was complex. The choice to use GCP was driven by the need to analyze incredibly large geospatial datasets – a task for which Google's Big Query was the only viable option. The real issue, though, was not the stress but the time. Feinberg didn't have a dedicated DevOps team and whatever time and effort he and his engineers put toward infrastructure was time taken away from customer-facing functionality, improved data cleansing, and deeper analytics. This led Feinberg on a hunt to find the DevOps equivalent of Astrobee – a system that would handle the routine tasks so his team could focus on the important stuff. Solution ## Flexibility of Multicloud Without the Hassle Verdova was an early adopter of Control Plane. Feinberg knew from painful experience both how much time DevOps tasks can consume as well as how different they can be between clouds. Verdova systematically tested Control Plane on a workload-by-workload basis and finally settled on an arrangement whereby their API and frontend applications are hosted in Control Plane and access RDS (where most of Verdova's data is stored), S3, SQS, and Lambda in AWS and Big Query in GCP. Control Plane's Universal Cloud Identity makes this hybrid multicloud architecture much easier to build and maintain. Verdova assigns a Control Plane identity to their workloads that is connected to the security policies of their cloud accounts, allowing the workload to access any service from any of their cloud accounts - whether an S3 object, an RDS database, or an SQS queue. This eliminates the need to embed and maintain credentials within each workload. Additionally, Verdova uses Control Plane's Cloud Wormhole to give their workloads access to certain RDS databases running inside of VPCs. Feinberg has also appreciated the suite of Day-2 ops tools which Control Plane provides – from connecting a domain, to managing certificates, to the fact that Prometheus and Grafana are already integrated and ready to use. Even for an experienced DevOps engineer, these tasks can easily eat up days of valuable time and for a developer without expertise might eat a week or more. ### Availability Close to Customers Verdova is partnered with a carbon credit marketplace, enabling them to precisely measure the amount of carbon sequestered on participating farms. Part of the marketplace's team is located in Lviv, Ukraine, far from the corn fields of Illinois. Even before the invasion of Ukraine on February 24th 2022, delivering low latency data from Verdova to the marketplace proved to be difficult. By enabling availability zones in Control Plane that are geographically close to this remote team, Verdova has been able to minimize latency and enable this partner to successfully consume Verdova's data even with suboptimal internet. > Having availability zones that are close to our partners in Lviv makes a big difference. It gives us just the edge we need. ![Max Feinberg](https://controlplane.com/images/customers/verdova_max_feinberg.jpg) Max Feinberg CTO, Verdova ### Scalability Without Over-Provisioning The utilization of Verdova's API is highly variable. Periods of low utilization may be punctuated by periods of extremely high utilization when multiple clients request large or complex datasets. Control Plane enables Verdova to scale capacity up and down smoothly without the increased load affecting the quality of their services. Additionally, since Control Plane automatically adjusts the resources available based on load, Verdova is able to offer a high service level to their customers without overprovisioning. The capacity is there when they need it but it does not consume budget when they do not. ### Surprising Support - In a Good Way Verdova has found using Control Plane to be very straightforward even for members of the team without DevOps experience. However, some workloads are inherently complex and require special consideration. Verdova has been "shocked" by the Control Plane team's responsiveness and expertise when they need support. In one such instance, the company was deploying Apache Airflow, which required several containers and advanced configuration. The Control Plane team offered prompt answers and hands-on help to set up Airflow properly. > Each of my engineers probably saves 30% of their time by using Control Plane. DevOps tasks that used to take us 5 days we can now do in 1 day, so it allows us to focus on our application rather than our infrastructure. ![Max Feinberg](https://controlplane.com/images/customers/verdova_max_feinberg.jpg) Max Feinberg CTO, Verdova Summary Verdova enables growers to benefit from the mountains of data their machinery and equipment generate. Control Plane facilitates this model by enabling Verdova to easily combine and configure cloud services and resources from AWS, GCP, and Azure into a highly-available, low latency infrastructure. Furthermore – like a DevOps Astrobee – Control Plane handles the routine tasks so their team can focus on strategic problems. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/verdova.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # IIInigence: Flexibility and Efficiency for Clients — Control Plane Source: https://controlplane.com/customers/iiinigence 1. [Customers](https://controlplane.com/customers) 3. IIInigence Case Study ![IIInigence logo](https://controlplane.com/images/customers/iii-logo.png) # Flexibility and Efficiency Serving Clients > Control Plane eliminates over 50% of our DevOps work. We have two DevOps engineers and they're running out of things to do. It's a good problem to have. JUDE LEE, CEO, IIINIGENCE Institution Snapshot Institution IIInigence Location USA Industry Software Development IIInigence is a 40-person digital solutions agency building custom web and mobile applications spanning blockchain, gaming, and more. The firm works with dozens of clients across industries. Some of these clients specify their own cloud, but for most, IIInigence is responsible to build a cloud infrastructure that matches the client's requirements. IIInigence usually builds three environments for each project – one for development, one for testing, and one for production. Key Details - Save 75% on Cloud Costs Compared to AWS - Equivalent of 15 DevOps Engineers - Migrated 8 Environments from AWS to Multi-Region on Control Plane Problem ## Looking for a Middle Ground IIInigence began using Control Plane in 2021 and quickly found it to be the perfect solution to clients' varied infrastructure requirements. Jude Lee, IIInigence' CEO, believes that Control Plane enables the same level of configurability and flexibility as AWS or Azure but the simplicity of a platform like Heroku. Lee can create new Global Virtual Cloud (GVC) environments in seconds and assign each environment one or more regions on AWS, GCP, or Azure. Usually, IIInigence assigns one region each to the development and testing environments and two or more to production. ### Economical at Any Scale Most of IIInigence' clients are early stage, so no single environment is likely to consume huge amounts of compute resources. However, Lee found in many instances that merely having a server or a cluster up and running on AWS incurred substantial costs. With Control Plane, IIInigence compute costs scale precisely with the project's requirements and since many services like NAT gateways, load balancers, DNS, and the like are included in Control Plane by default, adding environments has an incremental rather than an exponential effect on cost. Control Plane's cost model is so efficient that Lee doesn't even pass along the compute costs for very small projects. As compute costs grow, IIInigence can easily break out compute costs by GVC for billing purposes. > We save about 40% on Control Plane compared to AWS. On AWS, you can spend hundreds of dollars a month on a development environment. ![Jude Lee](https://controlplane.com/images/customers/judeLee.png) Jude Lee CEO, IIInigence ### Futuristic support Lee has been impressed by the responsiveness and skill level of Control Plane's support team. Each Control Plane customer gets a Discord channel, and Iiinigence routine support requests are addressed almost instantly. Not only that, but when IIInigence has suggested new functionality, Control Plane has brought the features to production very quickly. > Control Plane's support is the best I've ever experienced. We provide a Discord channel for our customers, but to have that for DevOps is futuristic. When our guys have problems or questions, we get the right person right away. ![Jude Lee](https://controlplane.com/images/customers/judeLee.png) Jude Lee CEO, IIInigence Summary IIInigence is able to provide reliable yet flexible infrastructure for dozens of client projects cost-efficiently with Control Plane. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/iiinigence.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Qualifi — Why Qualifi Chose Control Plane — Control Plane Source: https://controlplane.com/customers/qualifi 1. [Customers](https://controlplane.com/customers) 3. Qualifi Case Study ![Qualifi logo](https://controlplane.com/images/customers/qualifi.svg) # Why Qualifi Chose Control Plane > Control Plane has been a game-changer for our team, cutting our server costs by 90% and eliminating the time we spent on DevOps. Their outstanding customer service and seamless platform made the transition easy, and we've seen huge improvements in debugging and overall efficiency. Desean Prentice, Co-Founder & CTO, Qualifi Institution Snapshot Institution Qualifi Location USA Industry HR Technology Qualifi is a cloud-based interviewing platform designed to streamline the recruitment process. It allows recruiters to pre-record interview questions and send them to candidates, enabling asynchronous phone interviews at scale. This approach accelerates the hiring process by eliminating scheduling conflicts and reducing time-to-hire. Challenges Leading to Control Plane Exploration: As a feature-focused team, Qualifi faced two major obstacles. Too much time spent on DevOps - Managing infrastructure was slowing down product development. Ballooning Cloud Costs. Key Details - 90% Cost Reduction - Zero DevOps Workload - Seamless Multi-Cloud Deployment - 24/7 Technical Support Problem ## What Wasn't Working: The Key Pain Points Qualifi needed a more cost-effective and efficient way to manage their cloud infrastructure. Their existing setup was leading to high operational costs, excessive time spent on DevOps, and inefficiencies in debugging and deployment. ### Cloud Expenses As Qualifi scaled quickly to meet growing demand, cloud costs were rising fast. They needed a solution that would significantly lower infrastructure costs without sacrificing performance or forcing them to completely overhaul their existing setup. ### Time Waste Second, their team was spending too much time on DevOps instead of focusing on product development. Managing infrastructure, troubleshooting deployments, and maintaining cloud environments were eating into valuable engineering hours, slowing down their ability to build and iterate on their core product. ### Uncentralized Solution Finally, debugging and monitoring inefficiencies were making it difficult to maintain a stable and reliable cloud environment. They needed a centralized solution that simplified observability, allowing them to quickly identify and resolve issues without adding extra complexity to their workflow. > We've reduced our server costs by 90% per month, and our team no longer has to worry about DevOps. Control Plane delivered exactly what they promised, and their support has been incredible. ![Desean Prentice](https://controlplane.com/images/customers/desean-prentice.jpeg) Desean Prentice Co-Founder & CTO Solution ## Unlocking Efficiencies and Cost Savings ### Eliminating DevOps Bottlenecks Control Plane provided a seamless, all-in-one solution that eliminated the need for constant DevOps oversight. With its intuitive interface and automation features, the team could deploy, manage, and scale infrastructure effortlessly, reducing the time spent on cloud operations to virtually zero. This freed engineers to focus on product development rather than infrastructure maintenance. ### Cutting Costs By switching to Control Plane, the company cut its monthly server costs by 90%. The platform's automated scaling and efficient resource allocation ensured they never overpaid for unused capacity, while maintaining system performance and reliability. ### Streamlining Monitoring and Debugging Beyond savings, Control Plane's centralized monitoring and debugging tools helped streamline operations. The team gained real-time visibility into their infrastructure, allowing them to identify and resolve issues quickly. With improved debugging efficiency, they could minimize downtime and maintain a smooth user experience. ### Reliable Support What truly set Control Plane apart was its outstanding customer support and flexibility. The company could deploy across multiple cloud providers with ease, ensuring long-term scalability and freedom from vendor lock-in. With 24/7 support and a dedicated team, the transition was smooth, and ongoing assistance ensured continued success. > It's been amazing. From the sales team to the support team have been nothing but 5 stars! ![Desean Prentice](https://controlplane.com/images/customers/desean-prentice.jpeg) Desean Prentice Co-Founder & CTO Summary By implementing Control Plane, Qualifi was able to dramatically reduce infrastructure costs while eliminating the time their team spent on DevOps. Their ability to host on any major cloud provider in just a few clicks provided much-needed flexibility, while Control Plane's centralized monitoring and 24/7 technical support ensured smooth operations. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/qualifi.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Outrider: Multi-Cloud and Kubernetes Optimization — Control Plane Source: https://controlplane.com/customers/outrider 1. [Customers](https://controlplane.com/customers) 3. Outrider Case Study ![Outrider logo](https://controlplane.com/images/customers/outrider.svg) # Maximizing ROI: Multi-Cloud and K8s Optimization > Thanks to Control Plane, we've mastered multi-cloud management, fine-tuned Kubernetes efficiency, and saved substantially on costs. Jay Eberhard, Senior Platform Engineer, Outrider Institution Snapshot Institution Outrider Location USA Industry Software Development, Autonomous Vehicles, Artificial Intelligence (AI) [Outrider](https://www.outrider.ai/), the pioneer in autonomous yard operations for logistics hubs, helps large enterprises improve safety and increase efficiency. The only company exclusively focused on automating all aspects of yard operations, Outrider eliminates manual tasks that are hazardous and repetitive. Outrider's mission is to drive the rapid adoption of sustainable freight transportation by deploying zero-emission systems. Outrider is a private company backed by NEA, 8VC, Koch Disruptive Technologies, and other top-tier investors. Challenges Leading to Control Plane Exploration: Outrider sought Control Plane due to multiple challenges. They needed seamless multi-cloud operations, lacking in AWS and Azure. Also, managing Kubernetes efficiently with a small team was a hurdle. They sought a streamlined solution without excessive overhead. Key Details - Unified Multi-Cloud Management - Streamlined Kubernetes Operations - Cost Optimization - 24/7 Technical Support Problem ## A Need for Multi-Cloud and K8s Management One of Outrider's primary hurdles was the need to operate across multiple cloud providers seamlessly. As a startup, Outrider sought flexibility in choosing cloud environments but struggled with the complexity and lack of interoperability among different platforms. This challenge hindered their ability to adapt quickly to changing business requirements and constrained their innovation potential. Moreover, managing Kubernetes infrastructure posed a considerable obstacle for Outrider, especially with a small team. The intricacies of Kubernetes management required significant time and resources, diverting attention away from core development tasks. Outrider recognized the urgent need for a solution that could streamline their Kubernetes operations, reduce complexity, and enable their team to focus on innovation rather than infrastructure management. In addition to multi-cloud and Kubernetes challenges, Outrider faced issues with excessive cloud spending. With limited visibility and control over resource usage, they struggled to optimize costs effectively while maintaining performance and scalability. The lack of cost optimization tools and strategies further exacerbated their financial challenges, inhibiting their ability to allocate resources efficiently and invest in growth initiatives. Furthermore, Outrider's small team lacked the resources to address implementation challenges and ongoing support needs adequately. They needed a solution provider that could offer comprehensive support and guidance throughout the integration process and beyond. Without dedicated assistance, Outrider risked encountering roadblocks that could delay their time-to-market and hinder their competitive edge in the fast-paced autonomous vehicle industry. > We faced complexities managing multiple cloud environments and Kubernetes with a small team. ![Jay Eberhard](https://controlplane.com/images/customers/jay-eberhard.png) Jay Eberhard Senior Platform Engineer Solution ## Cost-Effective Multi-Cloud Mastery ### Unified Multi-Cloud Management Control Plane provided Outrider with the capability to seamlessly manage operations across multiple cloud providers, addressing the need for flexibility without vendor lock-in. This feature allowed Outrider to deploy and scale their autonomous vehicle infrastructure across various cloud environments, ensuring adaptability and resilience. ### Streamlined Kubernetes Operations With a small team and limited resources, Outrider faced challenges in efficiently managing Kubernetes infrastructure. Control Plane offered a solution that simplified Kubernetes management, enabling Outrider to focus on core development tasks rather than infrastructure overhead. This streamlined approach enhanced productivity and accelerated time-to-market for Outrider's innovative solutions. ### Cost Optimization Excessive cloud spending was a significant concern for Outrider, impacting their financial sustainability and resource allocation. Control Plane provided comprehensive visibility and control over cloud spending, allowing Outrider to optimize costs effectively while maintaining performance and scalability. This cost optimization feature enabled Outrider to allocate resources efficiently and invest in growth initiatives. ### Dedicated Support Outrider's small team lacked the resources to address implementation challenges and ongoing support needs adequately. Control Plane offered dedicated support throughout the integration process and beyond, ensuring a smooth rollout and ongoing guidance. This level of support empowered Outrider to navigate operational challenges with confidence and efficiency, enhancing their competitive edge in the autonomous vehicle industry. > Control Plane simplified our operations, offering seamless multi-cloud management and streamlined Kubernetes operations. ![Jay Eberhard](https://controlplane.com/images/customers/jay-eberhard.png) Jay Eberhard Senior Platform Engineer Summary By leveraging Control Plane's tailored solutions, Outrider was able to overcome operational hurdles, achieve efficiency gains, and drive growth in the competitive autonomous vehicle industry. With unified multi-cloud management, streamlined Kubernetes operations, cost optimization, and dedicated support, Control Plane provided Outrider with the tools and support needed to succeed in their journey toward innovation and scalability. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/outrider.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # LeasePilot: Modernizing Infrastructure and Security — Control Plane Source: https://controlplane.com/customers/leasepilot 1. [Customers](https://controlplane.com/customers) 3. LeasePilot Case Study ![LeasePilot logo](https://controlplane.com/images/customers/leasepilot-logo.svg) # Modernizing Infrastructure and Improving Security Posture > Control Plane has been a gamechanger for LeasePilot. Their unmatched expertise and seamless integration into our team have transformed our infrastructure, strengthened our security posture, and unlocked new levels of operational efficiency. Lior Kedmi, CTO at LeasePilot Institution Snapshot Institution LeasePilot Location USA Industry Commercial Real Estate Technology LeasePilot is a technology-driven platform that digitizes and streamlines commercial lease drafting. By transforming complex legal processes into efficient digital workflows, LeasePilot empowers businesses to execute leases faster, reduce administrative burden, and improve collaboration between legal, financial, and real estate teams. Challenges Leading to Control Plane Exploration: Before partnering with Control Plane, LeasePilot faced critical operational challenges that limited their ability to scale and innovate. Their legacy infrastructure required modernization to keep pace with rapid growth, while manual processes, like managing SSL certificates and deployments, were time-consuming and inefficient. Addressing security vulnerabilities and meeting enterprise compliance added further complexity. Control Plane stood out as the ideal partner due to their hands-on approach and technical expertise. Beyond offering advice, they took full ownership of the implementation, automating infrastructure, improving operational resiliency, and strengthening security. Key Details - Infrastructure Modernization - Enhanced Security - Automated Processes - Reliable Disaster Recovery Problem ## A Growing Need for DevOps Expertise ### Lack of Internal DevOps Team LeasePilot operated without an internal DevOps team, making it difficult to manage and scale their growing platform. Without dedicated expertise, routine tasks became increasingly complex, slowing down development and innovation. ### Aging Infrastructure with Security Vulnerabilities Their legacy infrastructure was outdated, leading to unresolved security vulnerabilities that posed risks to their operations. Without the ability to effectively modernize their systems, they faced ongoing concerns about reliability and compliance. ### Manual and Inefficient Processes Critical tasks, such as reissuing SSL certificates and testing disaster recovery procedures, were manual and time-consuming. These inefficiencies not only increased operational costs but also left LeasePilot vulnerable to unexpected downtime. > While deploying a new version to one of our environments, we realized we've made over 400 deployments using Control Plane. If we had to do that manually like before, it would've been a nightmare. This level of automation has been transformational, thank you! ![Lior Kedmi](https://controlplane.com/images/customers/lior-kedmi.jpeg) Lior Kedmi CTO at LeasePilot Solution ## A Modernized, Secure, and Scalable Platform ### Seamless Integration of DevOps Expertise Control Plane acted as an extension of LeasePilot's team, providing expert guidance and hands-on support. This partnership gave them immediate access to specialized DevOps knowledge without needing to hire internally. ### Infrastructure Modernization and Security Enhancements Control Plane helped LeasePilot modernize their infrastructure by dockerizing projects, improving deployment pipelines, and addressing security vulnerabilities. These upgrades significantly strengthened their security posture and system reliability. ### Automation for Efficiency and Reliability Previously manual tasks, such as SSL certificate management and disaster recovery testing, were fully automated. This not only reduced human error but also allowed the team to focus on innovation rather than maintenance. > Working with Control Plane has felt like adding an extension of LeasePilot to our team. Their experts seamlessly integrated into our operations, enabling us to adopt modern best practices, improve our infrastructure, and significantly enhance our security posture. ![Lior Kedmi](https://controlplane.com/images/customers/lior-kedmi.jpeg) Lior Kedmi CTO Summary Control Plane played a crucial role in modernizing LeasePilot's infrastructure, allowing them to transition from a legacy system filled with security gaps to a scalable, efficient, and secure digital environment. By automating critical processes, enhancing security, and eliminating the need for manual DevOps intervention, LeasePilot cut costs, improved efficiency, and ensured long-term operational resilience. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/leasepilot.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Fastback — Unleashing Scalability and Reliability — Control Plane Source: https://controlplane.com/customers/fastback 1. [Customers](https://controlplane.com/customers) 3. Fastback Case Study ![Fastback logo](https://controlplane.com/images/customers/fastback.webp) # Unleashing Scalability and Reliability > We needed uninterrupted service delivery. Yitz Dancziger, CTO, Fastback Institution Snapshot Institution Fastback Location USA Industry FinTech [Fastback](https://www.fastbackrefunds.com/) is a tech-driven company focused on revolutionizing the retail industry. Specializing in offering instant refunds on returned merchandise, Fastback streamlines the customer experience and enhances brand loyalty in a competitive market. Challenges Leading to Control Plane Exploration: Fastback's primary challenge was ensuring uninterrupted service to match their goal of providing "Instant Refunds." They needed a robust solution to manage their multi-cloud infrastructure efficiently. Key Details - Unified Multi-Cloud Management - Seamless integration with CI/CD - SLA of 99.999% Availability - Dynamic Resource Scaling Problem ## Struggle to Ensure Instant Refunds In the recent past, Fastback encountered several challenges while navigating the complexities of managing resources across multiple cloud platforms. These challenges posed significant hurdles for the company, particularly as it strived to maintain its commitment to providing instant refunds and ensuring seamless service delivery. The potential consequences of these challenges were tangible, including decreased customer satisfaction, increased operational costs, and a risk to its competitive edge. ### High Availability Demands Fastback's ability to deliver instant refunds depended heavily on maintaining uninterrupted service availability. Any disruptions could lead to dissatisfaction among customers and damage to the company's reputation. ### Scalability Requirements Operating in a dynamic environment, Fastback faced rapid fluctuations in demand. Meeting these changing needs required a flexible and scalable infrastructure, which traditional solutions struggled to provide effectively. ### Operational Complexity Managing resources across various cloud platforms introduced numerous operational complexities for Fastback. From coordinating deployments to ensuring robust security measures, the company grappled with the intricacies of maintaining operational efficiency. ### Cost Optimization Striking the right balance between performance and cost efficiency remained an ongoing challenge. Without effective resource management strategies, Fastback risked overspending on cloud resources or compromising service quality to cut costs. In summary, Fastback had to confront these inherent challenges of multi-cloud management to safeguard its reputation, control costs, and maintain its competitive position. Addressing these issues directly was crucial for the company's continued success in the market. > Maintaining seamless service delivery, especially for instant refunds, was paramount. Any disruptions could directly impact customer satisfaction and our brand reputation. ![Yitz Dancziger](https://controlplane.com/images/customers/yitz-dancziger.png) Yitz Dancziger CTO Solution ## Secure Scalability & Reliability Fastback's engineering team sought to overcome the challenges of managing resources across multiple cloud environments while ensuring optimal performance and cost-efficiency. Control Plane emerged as a solution, offering a comprehensive set of tools and features designed to streamline operations and enhance scalability. ### Unified Cloud Management and Optimization Control Plane provided Fastback with a single-pane-of-glass solution to manage and optimize resources across multiple cloud environments. As an internal developer platform offering instant cloud-native maturity, Control Plane helped Fastback simplify resource provisioning across AWS and GCP. Additionally, Control Plane streamlined monitoring processes by centralizing logging, metrics, and tracing capabilities, providing Fastback's engineering team with comprehensive insights into system performance and health. This holistic approach allowed Fastback to efficiently oversee the entire infrastructure, identify and resolve issues proactively, and ensure optimal resource utilization across their multi-cloud environment. ### Dynamic Scaling for Performance and Cost-Efficiency By leveraging Control Plane's Capacity AI™, Fastback was able to achieve automatic adjustment of resources in response to real-time demand. This capability allowed Fastback to dynamically scale resources up or down as needed, ensuring optimal performance and cost-efficiency without requiring manual intervention. As a result, Fastback could respond swiftly to fluctuations in workload demands, allocating resources efficiently to maintain service levels while minimizing unnecessary expenditure. This proactive approach to resource management not only enhanced the reliability and scalability of Fastback's infrastructure but also contributed to significant cost savings over time. ### 24/7 Technical Support Control Plane offered Fastback 24/7 support availability, ensuring prompt assistance and resolution of any issues. Dedicated support channels staffed by knowledgeable experts contributed to a smooth implementation process and ongoing operational excellence. > Control Plane streamlined our multi-cloud operations, optimizing performance and costs seamlessly. With its support and insights, we've achieved enhanced reliability and scalability. ![Yitz Dancziger](https://controlplane.com/images/customers/yitz-dancziger.png) Yitz Dancziger CTO Summary Control Plane revolutionized Fastback's cloud management strategy, offering a seamless, unified platform to optimize resources across multiple environments. With Capacity AI™ auto-scaling, Fastback could dynamically adjust resources in real-time, ensuring peak performance and cost-efficiency without manual intervention. This streamlined approach to resource provisioning and centralized monitoring provided Fastback with actionable insights to optimize spending and enhance operational efficiency. By leveraging Control Plane, Fastback achieved unprecedented scalability, reliability, and cost savings, cementing its position as a leader in the digital landscape. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/fastback.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Nevvon — Navigating Complexity in AWS Workloads — Control Plane Source: https://controlplane.com/customers/nevvon 1. [Customers](https://controlplane.com/customers) 3. Nevvon Case Study ![Nevvon logo](https://controlplane.com/images/customers/nevvon.svg) # Navigating Complexity in AWS Workloads > Control Plane's team support, responsiveness, and attitude made all the difference. Their willingness to help us manage our architecture and explore new ideas was a key factor in our decision to move everything to their platform. Uri Sevilla, CTO, Nevvon Institution Snapshot Institution Nevvon Location USA Industry Healthcare/E-Learning Nevvon is an innovative e-learning platform designed to help caregivers and healthcare workers meet compliance training requirements efficiently. By offering mobile-friendly, engaging, and accredited courses, Nevvon streamlines the training process for home care agencies, healthcare providers, and caregivers, ensuring they stay up-to-date with industry standards. Challenges Leading to Control Plane Exploration: The company needed a more streamlined way to deploy and manage workloads on AWS. Their existing approach lacked efficiency, making it difficult to quickly launch and monitor projects. Onboarding new team members was also a challenge, as navigating AWS directly required extensive training and technical expertise. Key Details - Simplified Deployment - Centralized Tracking for visibility and control - Expert Guidance & Support - Scalability & Future-Readiness Problem ## Overcoming Deployment and Management Hurdles ### Complex Image Deployment Deploying containerized applications required multiple manual steps, creating friction in launching new workloads efficiently. The company sought a solution that would simplify this process without sacrificing control. ### Lack of Centralized Monitoring Managing workloads on AWS lacked built-in visibility, making it difficult to track performance and troubleshoot issues in real time. Without a unified monitoring system, diagnosing problems became time-consuming and inefficient. ### High Learning Curve for New Team Members The technical complexity of AWS hindered smooth onboarding for new team members. The company needed a platform that would reduce the learning curve while maintaining flexibility for advanced users. > From all our vendors, this is hands-down the best team to work with. They are always there to help us troubleshoot, educate, and solve real-world problems. ![Uri Sevilla](https://controlplane.com/images/customers/uri-sevilla.jpeg) Uri Sevilla CTO, Nevvon Solution ## Unlocking Efficiencies and Cost Savings ### Simplified Image Deployment Control Plane provided an intuitive system that significantly reduced the complexity of deploying and managing workloads. With a low learning curve, teams could quickly adopt and use the platform effectively. ### Enhanced Monitoring Capabilities By moving to Control Plane, the company gained centralized monitoring features, enabling them to track and manage workloads with ease. This improved visibility helped streamline operations and reduce troubleshooting time. ### Dedicated Support & Collaboration Beyond the platform itself, Control Plane's team played a critical role in the transition. Their hands-on support and responsiveness ensured a smooth implementation, while their openness to feedback created opportunities for future feature development. > The Control Plane system and its simple learning curve helped us hit the ground running. With added monitoring capabilities and a team that's always ready to assist, it was an easy decision to transition all our workloads. ![Uri Sevilla](https://controlplane.com/images/customers/uri-sevilla.jpeg) Uri Sevilla CTO Summary By leveraging Control Plane, the company streamlined its AWS deployment process, improved workload management, and reduced the complexity of onboarding new team members. While initial cost savings were difficult to quantify due to new project launches, the platform's ease of use and strong support system positioned the company for long-term scalability and efficiency. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/nevvon.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # PrimeRx: Modernizing Pharmacy Systems — Control Plane Source: https://controlplane.com/customers/primerx 1. [Customers](https://controlplane.com/customers) 3. PrimeRx Case Study ![PrimeRx logo](https://controlplane.com/images/customers/prime-rx-logo.png) # Modernizing Pharmacy Systems with Cloud Agility > Control Plane gave us the push we needed to move beyond enterprise systems and embrace cloud-native maturity. Joe Klimowicz, Director of Cloud and Platform Engineering, PrimeRx Institution Snapshot Institution PrimeRx Location USA Industry Pharmaceutical, Computer Software For over three decades, PrimeRx (formerly Micro Merchant Systems) has been a leading name in the pharmaceutical software industry, building healthier communities nationwide. By empowering pharmacists to focus on patient care, PrimeRx has earned prestigious accolades in recent years including the Stevie Award for Achievement in Product Innovation. As the company evolved, leadership took on the challenge of modernizing their sophisticated enterprise platform to meet the demands of the rapidly evolving pharmaceutical industry. PrimeRx serves a diverse clientele, from local community pharmacies to large hospital chains, managing everything from electronic prescriptions to patient engagement portals. However, as they pushed towards a cloud first architecture and the launch of their new PrimeRx CLOUD platform, they needed to embrace new technologies including containerization. "Our existing systems were robust, but we needed to move beyond Windows and .NET Framework to a more flexible, cloud-native architecture," explains Joe Klimowicz, Director of Cloud and Platform Engineering. "We were looking for a platform-as-a-service that was easy to use, would give us a lot of flexibility, and allow us to operate with minimal staff." Key Details - Shared Services Architecture - Terraform IaC Integration - Infrastructure Flexibility - Developer Productivity Problem ## From the 90s to Now: PrimeRx's Modernization Dilemma ### Enterprise Architecture Constraints within Azure In their move towards a modern cloud first infrastructure, PrimeRx had to decide whether to utilize a self-hosted k8s platform or leverage SaaS. Containerization and deployment adjustments to on-premises Windows and .NET framework applications posed challenges within Azure's ecosystem, limiting flexibility in evolving the platform. ### Centralizing Business Logic for Faster Innovation PrimeRx set out to develop cutting-edge features and products as part of its next phase of innovation. A major hurdle was decoupling core business logic from the monolithic system and centralizing it to improve agility. The team needed to transition to a shared services model that allowed for component re-usability across multiple products, reducing duplication and accelerating development cycles. ### Balancing Resource Efficiency with Critical Services As a provider of crucial pharmacy management services handling sensitive patient data, PrimeRx couldn't afford to compromise on system availability or data integrity in their modernization efforts. "We needed a solution that could support interoperability while maintaining high availability and security", explained Klimowicz. Unoptimized infrastructure costs were another major concern, making it essential to find a cost-effective approach without sacrificing performance. > Modernizing our enterprise system felt like wrestling a stubborn beast. We couldn't find a good solution until we discovered Control Plane. ![Joe Klimowicz](https://controlplane.com/images/customers/joe-klimowicz.jpeg) Joe Klimowicz Director of Cloud and Platform Engineering Solution ## Cloud-Native Agility Evolves an Enterprise ### Simplified Deployment and Management Control Plane provided PrimeRx with the sought-after "PaaS" experience, blending ease of use, efficiency and reliability. Klimowicz notes, "Control Plane makes it very easy to deploy containers into a Kubernetes-like environment, with all the benefits and none of the pain." This enabled PrimeRx to extract key business logic from their core platform and centralize it, improving time-to-market and agility. By eliminating system dependencies, PrimeRx could iterate faster and develop reusable services that seamlessly integrated across multiple products. ### Seamless Integration and Enhanced Monitoring Control Plane's compatibility with PrimeRx's preferred Infrastructure-as-Code tool, Terraform, ensured a smooth transition. Easy integration with Datadog enhanced infrastructure monitoring capabilities, providing PrimeRx with comprehensive system oversight. By leveraging these tools, PrimeRx could better optimize performance while maintaining critical service uptime. ### Launching PrimeRx CLOUD Control Plane was instrumental in supporting the launch of PrimeRx CLOUD, a comprehensive cloud-based solution for community pharmacies. This new platform offers advanced features such as remote access to records and workflows, SMS support for electronic prescriptions, and mobile payments, all while ensuring compliance and operational excellence. With a flexible architecture now in place, PrimeRx can rapidly deploy new features without re-engineering core components, further reducing development time and costs. > Control Plane makes it very easy to deploy containers into a Kubernetes-like environment, with all the benefits and none of the pain. ![Joe Klimowicz](https://controlplane.com/images/customers/joe-klimowicz.jpeg) Joe Klimowicz Director of Cloud and Platform Engineering ### Driving Business Expansion With the successful launch of PrimeRx CLOUD, the company not only enhanced the experience for existing customers but also positioned itself for significant growth. PrimeRx plans to rapidly grow their cloud customer base over the coming months, leveraging the efficiency of shared services and scalable cloud infrastructure provided by Control Plane. ### Empowering Team Growth and Evolution The efficiency gained through Control Plane allowed Klimowicz to step up to a director role, overseeing development of PrimeRx CLOUD. The ease of use and comprehensive features of Control Plane facilitated smooth knowledge transfer within the team. "By centralizing business logic and leveraging a microservices architecture, we've significantly reduced complexity, allowing our team to focus on innovation". Summary Transitioning from enterprise systems to cloud-native architecture presented challenges due to compatibility issues and cost management concerns. Control Plane ultimately empowered PrimeRx to embrace cloud-native solutions, leading to the launch of the PrimeRx CLOUD platform, a key driver of their ongoing organizational growth. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/primerx.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Allio Finance: Optimizing Micro-Investments — Control Plane Source: https://controlplane.com/customers/allio 1. [Customers](https://controlplane.com/customers) 3. Allio Finance Case Study ![Allio Finance logo](https://controlplane.com/images/customers/allio.svg) # Optimizing Micro-Investments: Allio Finance's Journey with Control Plane's Tailored Solution Institution Snapshot Institution Allio Finance Location USA Industry Fintech Allio Finance LLC is a fintech company dedicated to providing a comprehensive micro-investment solution for customers navigating and trading in the stock market. Challenges Leading to Control Plane Exploration: The company sought a solution to reduce development and operational resources while efficiently provisioning its Node.js app in a serverless manner. Control Plane's Features That Stood Out: Seamless Dockerfile to TLS endpoint without fuss; SOC 2 compliance with comprehensive audit trail and fine-grained access control; Complete Terraform support; 24/7 technical support; Many integrations with external tools, like Datadog. Key Details - Efficient Resource Utilization - Faster Time-to-Market - Seamless Serverless Deployment - Terraform Integration for Flexibility - Comprehensive Security Controls - Exceptional Support and Documentation Problem ## Streamlining Resource Efficiency for Micro-Investments Allio Finance faced a central challenge in optimizing both development and operational resources while striving to implement a serverless architecture for its Node.js apps. The intricacies of managing resources efficiently in a micro-investment setting, where agility and responsiveness are paramount, necessitated a solution that could simplify deployment processes, reduce manual intervention, and enhance overall operational efficiency. The complexity of provisioning resources for Node.js apps in a serverless environment posed challenges related to resource coordination, access control, and security. Allio Finance aimed to address these challenges to ensure a smooth deployment process, minimize downtime, and create a foundation for rapid experimentation and migration within its existing AWS VPC resources. In seeking a solution, the overarching goal was to find a comprehensive solution that not only addressed the immediate resource optimization challenges but also contributed to faster time-to-market and a streamlined operational workflow for their micro-investment solutions. > We faced the challenge of optimizing resources for micro-investments, prompting the search for a solution that could streamline development, operations, and serverless deployment of our Node.js apps. ![David Chen](https://controlplane.com/images/customers/davidChen.webp) David Chen Principal Engineer Solution ## Control Plane's Solution: A Comprehensive Approach to Resource Efficiency ### Serverless Containerization Control Plane's support for serverless containers, codified as Docker images, became a pivotal feature for Allio Finance. This allowed the company to efficiently deploy and manage its Node.js apps without the overhead of traditional server management, leading to enhanced resource utilization and a more agile infrastructure. ### Compliance and Security Measures Meeting industry standards such as SOC 2 compliance was integral for Allio Finance. Control Plane's commitment to security, complete with tamper-proof audit trail and access controls, provided the necessary assurances for regulatory compliance. This ensured that micro-investment operations were conducted within a secure and auditable framework. ### Integration with Terraform The seamless integration with Terraform proved instrumental in Allio Finance's resource coordination and experimentation. The ability to work with existing AWS VPC resources, coupled with Terraform's infrastructure as code capabilities, empowered the company to easily adapt to evolving requirements and swiftly migrate applications. ### Technical Support and Documentation Control Plane's commitment to customer success was evident in the smooth implementation process facilitated by the platform's support teams. Extensive documentation, including example GitLab/GitHub CI repositories, provided Allio Finance with valuable resources for navigating and maximizing the platform's capabilities. > Compared to alternative solutions, Control Plane stands out by saving time and streamlining the coordination of different resources for infrastructure provisioning. ![David Chen](https://controlplane.com/images/customers/davidChen.webp) David Chen Principal Engineer ### Zero Downtime Deployment Control Plane's solution ensured zero downtime during the deployment of test and production backend apps. This not only contributed to a seamless user experience but also enhanced the reliability of Allio Finance's micro-investment solutions. ### Efficiency Gains and Time-to-Market Allio Finance experienced significant efficiency gains through the implementation and maintenance of serverless containers on Control Plane. The platform's role in achieving faster time-to-market, accelerating the company's marketing timeline by six months, demonstrated its tangible impact on operational timelines and business objectives. Summary In essence, Control Plane's solution not only addressed the immediate challenges posed by resource optimization but also provided a foundation for ongoing operational efficiency, security, and adaptability in the dynamic landscape of micro-investments in the fintech sector. The platform's features, support, and future-oriented roadmap positioned it as a valuable asset for Allio Finance's continued success. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/allio.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Datacenters.com — Multicloud Availability — Control Plane Source: https://controlplane.com/customers/datacenters 1. [Customers](https://controlplane.com/customers) 3. Datacenters.com Case Study ![Datacenters.com logo](https://controlplane.com/images/customers/datacenters.svg) # Multicloud Availability > The flexibility we get with Control Plane helps us stay agile and ready for changing requirements. Mike Price, CTO, Datacenters.com Institution Snapshot Institution Datacenters.com Location USA Industry Technology Marketplace Datacenters.com is a technology marketplace and aggregator. They offer data center colocation, cloud, connectivity, hardware, software, and managed services from providers worldwide. Visitors can quickly search data center listings, compare provider offerings and purchase technology solutions. The company's technology stack is built on Ruby on Rails with a React frontend. Key Details - Eliminate Single-Region Failure Point - Increased Flexibility - Multicloud on AWS and GCP Problem ## Preparing for the Unexpected Like many young companies, Datacenters.com started with Heroku for the first version of their application. Mike Price, Datacenters.com's CTO, found that Heroku was expensive if provisioned adequately, but otherwise slow. Reluctantly, Price moved the application to AWS, which addressed the company's cost concerns without addressing architecture. If something – a bug, a memory leak – caused their application to go down, it required a server restart before things were back up again. In normal circumstances, this might not create too many issues, but Price wanted "normal" to account for the unexpected. He knew this would require going multi-region and perhaps multi-cloud. > I'd find out the next morning that the server had been down – and our site with it. I knew we had to eliminate single points of failure. ![Mike Price](https://controlplane.com/images/customers/datacenters_mike_price.jpeg) Mike Price CTO, Datacenters.com ## Efficient Engineering Workflows ### Key Challenge As DataCenters.com expanded its offerings and audience, the engineering team needed to ensure its infrastructure could keep up with the growing complexity and demand. The company faced challenges scaling its infrastructure to support a seamless user experience. Rapid development cycles, frequent feature updates, and the need for robust testing workflows made it critical to establish a streamlined and reliable development process. ### Solution In 2024, DataCenters.com made a significant upgrade to its development processes by adopting the [shakacode/control-plane-flow](https://github.com/shakacode/control-plane-flow) open-source tool and cpflow CLI. This decision allowed the engineering team to implement features that ensured reliability and efficiency in their CI/CD workflows. One of the standout features introduced was review apps, enabling the team to test pull requests (PRs) on live infrastructure before merging into staging. This approach provided a live environment for evaluating changes in real-world conditions, minimizing the risk of errors when promoting code to production. By integrating the cpflow CLI into their CI/CD pipeline, the team benefited from simplified deployment workflows and a clear path from staging to production. This adoption supported the company's commitment to delivering new features with confidence while maintaining high reliability for end-users. ### Results Adopting cpflow enhanced the efficiency of the development process, resulting in faster feature releases and fewer errors in production. Engineers noted improved collaboration and reduced time spent debugging issues related to deployment mismatches. Solution ## Resiliency of Multiple Clouds Datacenters.com began using Control Plane after a long search for other solutions. Because Datacenters.com was originally architected as a monolith, it required collaboration between Price's team and Control Plane support to plan how to containerize the application and deploy it to two regions of two different cloud providers: AWS and GCP. Right now, their database is hosted directly on AWS, but Price plans to move this to Control Plane in the future. Since switching to Control Plane, Price has been able to sleep a bit easier. If a replica – or even a region, or a whole cloud – goes down, his site is still up. Despite this Big-Tech-Grade resiliency, Price finds Control Plane to be relatively easy to use. It offers the streamlined developer experience they were looking for in Heroku without the constraints. > We saw a lot of products claiming to be 'multi-cloud' but when you got past the fine print, none of them enabled you to deploy to multiple clouds out of the box the way Control Plane does. Most of them required some sort of laborious up-front setup or expensive consulting contracts. ![Mike Price](https://controlplane.com/images/customers/datacenters_mike_price.jpeg) Mike Price CTO, Datacenters.com ### Flexibility for Change Datacenters.com serves customers all over the world, but is currently focused on North America. In the future, Price sees the ability to quickly add regions to their infrastructure in Control Plane as a way to expand the business geographically. It's been eight years since the company's inception and while Datacenters.com has gone through numerous iterations, it has remained monolithic in its application architecture. Price is considering the pros and cons of switching to a microservices architecture to gain greater separation of concerns, but knows it's a big job. The transition to Control Plane gives Price greater flexibility to plan for this project while keeping the current site up and running. > Your business is going to change. That's the only constant. Your infrastructure has to adapt to new requirements in order to grow. The flexibility we get with Control Plane helps us stay agile and ready for changing requirements. ![Mike Price](https://controlplane.com/images/customers/datacenters_mike_price.jpeg) Mike Price CTO, Datacenters.com Summary Datacenters.com gives customers greater transparency and options when shopping for colocation, bare metal and multi-cloud solutions. Control Plane enables Datacenters.com to offer resilient yet flexible service to their customers that doesn't require sleepless nights. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/datacenters.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Upsie — Control and Flexibility for Growth — Control Plane Source: https://controlplane.com/customers/upsie 1. [Customers](https://controlplane.com/customers) 3. Upsie Case Study ![Upsie logo](https://controlplane.com/images/customers/upsieLogo.svg) # Control and Flexibility for Growth > Control Plane gives us fine-grained control over the resources allocated to an individual process. We can run things at full capacity when we need it but idle down to zero when we don't. Jame Mackson, CTO, Upsie Institution Snapshot Institution Upsie Location USA Industry Extended Warranties Upsie provides customers with a better warranty option for electronic devices than plans sold by stores and manufacturers. With prices that cost up to 70% less, quick repairs, and fantastic customer service, Upsie is the smarter way to warranty. To deliver on this mission, Upsie maintains a backend API and two web applications: upsie.com for ecommerce and an internal administration site. Key Details - 50% Savings Over Heroku - Fine-Grained Control Over Scaling - World-Class Support Experience Problem ## Managing Cloud Spend and Scale When Jame Mackson joined Upsie in 2019 as Head of Engineering, one of his first decisions was to migrate the company's tech stack from a .Net-based backend hosted on Azure to Node.js hosted on Heroku. Heroku made sense at the time. It automated and abstracted a lot of the devops grunt work Mackson had spent months building out in past positions and allowed the Upsie engineering team to focus on business logic and solving customer problems. However, as the company – and the infrastructure supporting it – grew, the choice to use Heroku began to look less obvious. Upsie's Heroku bill had already grown to be substantial and even though they were on an Enterprise pricing tier, sticking to their infrastructure roadmap was soon going to ratchet their cloud cost by as much as 100%. Mackson didn't mind paying Heroku to get better time to market, but he wasn't comfortable with the compromise escalating costs created as Upsie grew. With this dilemma top of mind, Upsie began looking for alternatives and began evaluating Control Plane. Mackson was skeptical at first, but technical due diligence confirmed that Control Plane could meet Upsie's requirements while providing a substantial cost savings. The team soon began migrating workloads from Heroku to Control Plane. > I could almost hire another engineer for what Heroku was going to charge us to upgrade, and I thought I could get a lot more done by finding a different solution that got us to the same goals without the added expense. ![Jame Mackson](https://controlplane.com/images/customers/upsie_jame_mackson.jpeg) Jame Mackson CTO, Upsie Solution ## Control Plane Results Upsie is currently single cloud, so while Mackson saw the cross-cloud capabilities Control Plane offers as a great option in the future to increase resiliency, he sees the greatest value in the platform's ability to deliver an elegant developer experience while enabling greater control over how Upsie's infrastructure consumes resources. Currently, Upsie runs compute on Control Plane and a data tier natively on AWS. According to Upsie, this combination has paired nicely and given them the control and flexibility they need to grow. We can do the same things we could do in Heroku (so we don't have to go low-level in AWS) but Control Plane gives us fine-grained control over the resources allocated to an individual process. We can run things at full capacity when we need it but idle down to zero when we don't. While Heroku's pricing tiers forced Upsie to choose between four different "dyno" sizes, Control Plane enables them to scale usage linearly and elastically. This increased runtime efficiency is one of the biggest advantages for Upsie because it translates directly to cost savings. ### World-Class Support Mackson has also been very impressed with the level of support he's received from Control Plane, both for day-to-day issues as well as special requests: > We had an issue getting Cloudflare to work with Control Plane and wanted to use Coralogix for log aggregation. In both cases, the new features that Control Plane implemented to support our use case were phenomenal and delivered much faster than we expected. There's a level of support you get from Control Plane that you never get from AWS or even Heroku. ![Jame Mackson](https://controlplane.com/images/customers/upsie_jame_mackson.jpeg) Jame Mackson CTO, Upsie Summary Control Plane has enabled Upsie to stay focused on business logic and customer experience even while growing quickly by giving them fine-grained control over how their infrastructure consumes cloud resources. This enables them to be fast and cost-efficient without cutting corners. > We can do the same things we could do in Heroku (so we don't have to go low-level in AWS) but Control Plane gives us fine-grained control over the resources allocated to an individual process. We can run things at full capacity when we need it but idle down to zero when we don't. ![Jame Mackson](https://controlplane.com/images/customers/upsie_jame_mackson.jpeg) Jame Mackson CTO, Upsie This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/upsie.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Acoer — Unfailing Multicloud Reliability — Control Plane Source: https://controlplane.com/customers/acoer 1. [Customers](https://controlplane.com/customers) 3. Acoer Case Study ![Acoer logo](https://controlplane.com/images/customers/acoer-logo.png) # Unfailing Multicloud Reliability > Control Plane allows us to optimize both direct and indirect cloud costs. JIM NASR, CEO, ACOER Institution Snapshot Institution Acoer Location USA Industry Health Tech Acoer provides healthcare organizations rich, relevant, interoperable, out of the box RESTful APIs which serve as the internal gearing to build modern healthcare applications that are transparent and trustworthy. Jim Nasr, Acoer's CEO, sees the company's role similarly to that of the internal movement makers in the watch industry – offering unfailingly reliable internal mechanisms which companies can use as the building blocks for higher-level apps. Acoer's solutions address two huge problems in healthcare: First, the healthcare industry is notoriously opaque – sometimes by design – but Acoer provides solutions to visualize and analyze mountains of raw medical data, distilling clear insights from fuzzy, complex datasets. Second, Acoer builds on the Hedera Hashgraph distributed ledger to establish computational trust for each level of transaction so that their customers can trust the data's validity and authenticity. Key Details - Optimize Cloud Costs - Run 7 Regions on AWS, GCP, Azure - Reduced Time on DevOps Problem ## "It Just Works" Requires a Lot of Work In one sense, customer requirements for Acoer's APIs are simple: they must "just work" at all times. But the size and complexity of each client, along with geographic and regulatory nuances, often make delivering fault-tolerant solutions extraordinarily difficult. A customer may, for instance, require dedicated vs shared infrastructure and/ or need multiple geographic regions on multiple clouds but stipulate the exclusion of certain geographies in order to meet regulatory requirements. Nasr is no stranger to complex infrastructure, having previously built and maintained large-scale AWS and Azure environments in his former job as Chief Software Architect for the Centers for Disease Control. Under his leadership, Acoer built their initial infrastructure in AWS EKS but this required their best application engineers to spend time on DevOps. This level of investment and resource allocation was necessary but sub-optimal. Nasr knew that every day his top developers spent elbow-deep in EKS administration meant a feature left unfinished. > Cloud cost is always a consideration, but the indirect costs were our real concern – the cost of redoing work and having key developers spend 20% of their time on DevOps. Control Plane allows us to optimize both direct and indirect cloud costs. ![Jim Nasr](https://controlplane.com/images/customers/jimNasr-acoer.jpg) Jim Nasr CEO, Acoer Solution ## A Movement Maker for Infrastructure When Nasr found Control Plane in early 2021, he immediately saw how it could help Acoer take their infrastructure to the next level of resiliency while at the same time reducing the DevOps burden on their engineering team. Acoer products and services now run on Control Plane with the flexibility to create dedicated or shared environments that are running on the clouds and cloud regions required by each client. As an example, Acoer's RightsHash service (a decentralized software engine to represent rights and protections) runs on Control Plane utilizing seven geographical regions spread across three different clouds. This distributed architecture ensures that the API is always available even if a region or an entire cloud goes down. Ordinarily, this type of multicloud architecture would be very complex and costly to build and maintain, but with Control Plane, Acoer has the flexibility to create and configure single-cloud, multi-cloud, or hybrid infrastructure very simply and straightforwardly. Since Control Plane is built to enable multicloud deployments by default, Acoer is able to increase fault tolerance without increasing cloud spend or DevOps resources. ### A Fault Tolerant Team Not only does Control Plane help to increase the resiliency of Acoer's infrastructure, utilizing the Control Plane platform helps to increase fault tolerance across Acoer's engineering team as well. Acoer's engineers can deploy and manage workloads on Control Plane easily, eliminating the need for a specialized middleman who might or might not be available. Enabling Acoer's engineers to operate independently speeds up the pace of innovation. > I would have had to hire a dedicated DevOps engineer – maybe two – in order to get the same level of sophistication we get from Control Plane out of the box. ![Jim Nasr](https://controlplane.com/images/customers/jimNasr-acoer.jpg) Jim Nasr CEO, Acoer Summary Acoer is enabling increased transparency and trustworthiness in the healthcare industry by acting as one of the industry's "movement makers" - offering highly fault tolerant API-based gearing for higher-level apps. In the same way Acoer's customers trust them for always-on reliability, Acoer trusts Control Plane to provide multicloud infrastructure as a service – freeing them to focus on customer value. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/acoer.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Casai — Concept to Customers Faster — Control Plane Source: https://controlplane.com/customers/casai 1. [Customers](https://controlplane.com/customers) 3. Casai Case Study ![Casai logo](https://controlplane.com/images/customers/casai-logo.png) # Concept to Customers Faster > Control Plane lets us get new services to market about 20% faster than we could with AWS. It really helps to reduce the burden of managing infrastructure. DANIEL SANDOVAL, VP OF ENGINEERING, CASAI Institution Snapshot Institution Casai Location Mexico Industry Real Estate Casai is a hospitality concept designed for today's generation of technology nomads. Casai offers customers beautiful, curated apartments in Brazil and Mexico that merge the design and comforts of a boutique hotel with the technology of a San Francisco home and the local ambiance of a vacation rental. About 50% of Casai's bookings come through their marketing website, which is built on Django with a React front end. The remaining 50% comes through third parties like Airbnb managed through a property management system (PMS) called Guesty. Casai acquired Loopkey – a physical access management platform – early in 2022 to enable Casai to improve and automate the process of giving and removing access to properties. Key Details - Services to Market 20% Faster - Increased Developer Self-Service - Easily Maintain Multiple Environments Problem ## Finding the Right People - or Product Casai's marketing site is architected as a monolith and is hosted on AWS, but the engineering team develops new functionality as microservices with the intent of decomposing the monolith over time. Daniel Sandoval, Casai's VP of Engineering, initially considered building and maintaining Kubernetes clusters in AWS EKS for deploying these new microservices. The real challenge, however, proved to be finding the talent necessary to manage Kubernetes once the cluster was up and running. Casai found it very difficult and expensive to recruit and retain DevOps talent. Candidates who had the qualifications they needed were in such high demand that they were a constant flight risk. Given these headwinds, Sandoval was open to a tip from Casai's previous CTO about a product called Control Plane that might alleviate the need for a full DevOps team. Solution ## Getting to Market Faster After an evaluation period, Casai began deploying new microservices – such as a messaging service for Casai's guests – on Control Plane while continuing to host the monolith on AWS. This enables Casai to deploy new microservices much faster. Casai chose to run these microservices in the same AWS region as their monolith and uses Control Plane's Universal Cloud Identity to connect to AWS RDS and SQS without having to embed credentials in each workload. Casai has also chosen to run test and dev environments in Control Plane because the platform enables them to scale these workloads to zero when not in use – thereby reducing cost without slowing down development. ### Helping Developers Help Themselves One of Sandoval's key challenges is how to optimize his own time while keeping his developers working productively. He doesn't want to be constantly on call for DevOps support, forcing each developer to wait for his availability. Because Control Plane is far easier to learn and easier to use than EKS, Casai's application engineers and data engineers can operate independently – supported not by a DevOps team but by a simpler development environment. > I never want to be the bottleneck. I don't mind getting involved in specialized cases, but I don't want to be the keeper of AWS and have to jump in every time one of our developers needs to deploy. Control Plane helps our developers operate independently. ![Daniel Sandoval](https://controlplane.com/images/customers/danielSandoval.jpeg) Daniel Sandoval VP of Engineering ### A Separate Environment for Loopkey Loopkey – Casai's integrated technology for granting and revoking physical access to its properties – runs on a separate technology stack with a separate monolith hosted on AWS. Similarly, Casai deploys new microservices for Loopkey on Control Plane and (because the Loopkey monolith is better packaged) they may choose to move the Loopkey monolith to Control Plane at some point. The physical Loopkey locks are used in all of Casai's properties in Brazil and they are integrating the Loopkey API with the existing locks for properties in Mexico. > We have a separate environment for Loopkey microservices. We implement every new lock manufacturer as a microservice and host it on Control Plane. ![Daniel Sandoval](https://controlplane.com/images/customers/danielSandoval.jpeg) Daniel Sandoval VP of Engineering, Casai Summary Casai offers their customers curated, tech-forward accommodations with everything customers need already in place. Similarly, Control Plane offers Casai a curated development environment with key functionality built-in to help them bring concepts to market faster. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/casai.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR --- # Printivity: Scalable Infrastructure, Lower Cloud Cost — Control Plane Source: https://controlplane.com/customers/printivity 1. [Customers](https://controlplane.com/customers) 3. Printivity Case Study ![Printivity logo](https://controlplane.com/images/customers/printivity-logo.png) # How Control Plane Unlocked Scalable Infrastructure and Cut Cloud Costs > Control Plane has transformed our development workflow with scalable infrastructure, seamless deployments, and honest, expert support. Their team feels like an extension of ours, proactive, transparent, and genuinely invested in our success. Erik Krueger, CTO Institution Snapshot Institution Printivity Location San Diego, CA Industry Printing Services Printivity is a modern online printing company specializing in high-quality, customizable print products for businesses of all sizes, from startups to large enterprises. Known for their fast turnaround times, competitive pricing, and exceptional customer service, Printivity offers a wide range of products including booklets, business cards, catalogs, and signage. Their commitment to streamlined ordering, fast production, and customer satisfaction has made them a trusted partner for companies looking to elevate their brand through print. Challenges Leading to Control Plane Exploration: Before Control Plane, the company dealt with disconnected systems, manual processes, and fragmented workflows. These issues led to inconsistent data flows, increased errors, and higher operational costs. As the business scaled, the lack of real-time visibility and system integration made it difficult to move quickly and deliver value. Key Details - 50+ hours of downtime avoided - Reduced cloud compute costs - Faster feature deployment - Scalable test and dev environments Problem ## Evolving Needs, Growing Complexity ### Coordinating Disconnected Systems Workflows across environments weren't fully aligned, which made coordination more complex and limited visibility across teams. ### Room to Optimize Resource Usage The team saw opportunities to improve how compute resources were allocated, especially to reduce unnecessary overhead as the system scaled. ### Improving Development Velocity Provisioning new environments took time, which occasionally created delays in testing and deploying new features. > As our systems matured, we needed a more cohesive way to manage workflows and scale infrastructure, without introducing more overhead. ![Erik Krueger](https://controlplane.com/images/customers/erik-krueger.jpeg) Erik Krueger CTO Solution ## Flexible Infrastructure, Tangible Impact ### Streamlined DevOps with Scalable Infrastructure Control Plane provided an integrated platform that allowed the team to rapidly spin up development and testing environments. This enabled faster feature testing, shorter release cycles, and greater agility overall. ### Smart Resource Allocation = Real Cost Savings With intelligent resource usage baked into the platform, the team optimized container utilization and cut unnecessary cloud costs. These savings were redirected toward high-impact business areas. ### Exceptional Support and Transparency Direct Slack access to Control Plane's technical team ensured rapid problem-solving and collaborative integration. The team appreciated Control Plane's honest guidance and dedication to tailoring the platform to their unique needs. > One of the things we've valued most is the honesty from Control Plane. When something wasn't ready, they said so. That level of integrity is rare. ![Erik Krueger](https://controlplane.com/images/customers/erik-krueger.jpeg) Erik Krueger CTO Summary By switching to Control Plane, the company reduced costs, eliminated infrastructure bottlenecks, and gained a trusted partner in scaling their engineering team's capabilities. This case study is also available as a PDF. [Download PDF](https://controlplane.com/case-studies/printivity.pdf) ## More customer stories [See all](https://controlplane.com/customers) [![Minga logo](https://controlplane.com/images/customers/minga-logo.png) K–12 EdTech ### 30–40% lower compute ![Matt Zytaruk](https://controlplane.com/images/customers/matt-zytaruk.jpeg) Matt Zytaruk VP of Technology, Minga](https://controlplane.com/customers/minga) [![Popmenu logo](https://controlplane.com/images/customers/popmenu.svg) SaaS ### Heroku → Control Plane ![Justis Blasco](https://controlplane.com/images/customers/justis-blasco.jpeg) Justis Blasco Co-Founder & CTO, Popmenu](https://controlplane.com/customers/popmenu) [![Inspectiv logo](https://controlplane.com/images/customers/inspectiv.png) Cybersecurity / Application Security ### ~1/3 the cost of DIY infrastructure ![Ross Hendrickson](https://controlplane.com/images/customers/ross-hendrickson.jpeg) Ross Hendrickson CTO, Inspectiv](https://controlplane.com/customers/inspectiv) [See all customer stories](https://controlplane.com/customers) ## When downtime is not an option. Sign up free. No cloud accounts required. [Start Building](https://console.cpln.io/signup)[Request a Demo](https://controlplane.com/requestdemo) - SOC 2 Type II - PCI DSS Level 1 - HIPAA - GDPR