Comparison
Control Plane vs AWS (ECS, EKS, Fargate)
Updated July 2026 7 min read
Choose Control Plane to run the same containers across AWS, GCP, Azure, and on-prem as one layer in your own accounts, free of single-cloud lock-in. You get credential-free cross-cloud access to native services and no cluster to operate. Choose AWS-native services (ECS, Fargate, EKS) if you are committed to AWS and want the deepest native integration. The short version: Control Plane runs the same workloads across any cloud, including AWS, while AWS ties your platform to just one.
| At a glance | Control Plane | AWS |
|---|---|---|
| Runs across clouds | ●●●●● | ●●●●● |
| Cluster to operate | None | Nodes on standard EKS; less on Auto Mode, ECS, Fargate |
| Scale-to-zero | ✓ Yes | Varies by service |
| Lock-in / exit | Your accounts | AWS-native |
| Identity | Cross-cloud | IAM (federation elsewhere) |
| Compliance | PCI DSS L1, SOC 2, HIPAA | AWS certifications, shared responsibility |
This is not a "leave AWS" comparison. Control Plane runs in your AWS account too. The question is narrower and more useful: should your container platform be built from AWS-native primitives that only exist on AWS, or from a cloud-agnostic layer that runs the same standard containers in your own accounts across AWS, GCP, Azure, and on-prem? ECS, Fargate, and EKS win on native depth. Control Plane wins on portability, one operating model, and not being locked to a single provider.
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 give you deep integration with the AWS ecosystem: AWS IAM for identity, VPC for networking, CloudWatch, ALB, and the rest of the console you already know. The tradeoff is that this integration exists only on AWS, and that 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 touch Kubernetes or need expertise in it. With Managed Kubernetes or BYOK, you can bring your own cluster and Control Plane adds operational levers on top. The resource model is simple: an Org contains GVCs (global virtual clouds), and a GVC contains Workloads.
When to choose Control Plane over an AWS-only setup
The appeal of AWS-native services is also the catch. 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. If none of those apply and you intend to stay on AWS, native depth is worth a lot; if any are on your horizon, adopting a portable layer early is easier than retrofitting one later.
Which one should you pick?
Choose Control Plane if...
- You want to run the same containers across AWS, GCP, Azure, and on-prem as one layer.
- You want to avoid being locked to one provider's IAM, networking, and billing.
- You want credential-free, cross-cloud access to native services like S3, DynamoDB, and BigQuery.
- You want no cluster or nodes to operate, and no Kubernetes expertise on your team.
- Resilience, data sovereignty, cost leverage, or an acquisition is pushing you toward multi-cloud.
Choose AWS-native (ECS, EKS, Fargate) if...
- You are all-in on AWS and intend to stay there.
- You want the deepest integration with AWS IAM, VPC, and the wider AWS ecosystem.
- You have no multi-cloud driver on the horizon.
- Your team is already fluent in AWS tooling and the console.
- Staying inside the AWS ecosystem is a deliberate strategy, not a constraint.
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 | Nothing, no cluster to run | 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 | ECS, EKS, Fargate, and EC2 as separate services |
| Compliance | PCI DSS Level 1, SOC 2, HIPAA, GDPR | AWS shared-responsibility model |
| Best for | Multi-cloud, avoiding lock-in, one layer everywhere | All-in on AWS-native |
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. Control Plane runs the same standard containers across AWS, GCP, and Azure in their own accounts, under one identity and network model. Each workload reaches native services like S3, DynamoDB, or BigQuery credential-free through patented Universal Cloud Identity, with no cluster to operate.
AWS-native fits: a team all-in on AWS by design. An org whose center of gravity is AWS, deep in IAM, VPC, CloudWatch, and the surrounding tooling, with no resilience, sovereignty, cost, or acquisition driver pushing it off. The native depth of ECS, EKS, and Fargate is worth more to them than portability, and leaning into the AWS primitives is the simplest path.
Often it is both. A team might keep its AWS-heavy services on ECS and Fargate while running its cross-cloud or sovereignty-bound workloads on Control Plane, getting native depth where it is committed and portability where it needs options.
"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."
Frequently asked questions
It can be, 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 using 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 no cluster to operate. If you are committed to one cloud and want the deepest native integration, AWS-native services are a strong fit. If you want to avoid being locked to a single provider, Control Plane is the layer for that.
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.
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.
ECS, EKS, and Fargate are AWS-native primitives. They give deep integration with the AWS ecosystem, but they 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 that runs standard containers in your own accounts across AWS, GCP, Azure, and on-prem, with one identity model, one network model, no cluster to operate, and credential-free access to native services on any cloud.
No. Control Plane is built on Kubernetes but you never touch it: there is no control plane to run, no nodes to patch, and no Kubernetes expertise required. That contrasts with EKS, where you manage the cluster and node groups. ECS and Fargate reduce AWS-specific operational surface but do not remove it. You deploy workloads and Control Plane handles the rest.
When you are all-in on AWS and intend to stay there, and you want deep integration with AWS-native services and tooling. Also when you have no multi-cloud driver such as resilience, data sovereignty, cost leverage, or an acquisition, and staying inside the AWS ecosystem is a deliberate strategy rather than a constraint. In those cases, the native depth of ECS, EKS, and Fargate outweighs the portability Control Plane adds.
Committed to AWS, but not to being locked in?
Run your standard containers across AWS, GCP, Azure, and on-prem as one virtual cloud, in your own accounts. There is no cluster to operate, and you get credential-free access to native services on any cloud. Test it on one real workload, in your own AWS account, and see.