Comparison
Control Plane vs Kubernetes
7 min read
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."
Frequently asked questions
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.
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.
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.
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.
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.
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