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A Kubernetes control plane can give teams a declarative API for requesting infrastructure and platform capabilities, then use controllers to keep actual resources aligned with that declared state. That can modernize self-service and reconciliation, but it is not a reason to replace Terraform everywhere: Crossplane, Cluster API, and cloud-specific Kubernetes tools solve different problems.
What does “control plane” mean here?
The phrase has several meanings. Kubernetes has its own control-plane components; a managed Kubernetes service may provide a control plane for a cluster; and a platform team can build a separate control plane—often using Kubernetes—to expose APIs that manage software or infrastructure. This article is about the third meaning unless it explicitly says otherwise.
A Kubernetes CustomResourceDefinition (CRD) extends the Kubernetes API with a resource type, schema, group, and kind. The Kubernetes API server can serve and store that custom resource without a team building a separate custom API server. API aggregation is a distinct extension route that connects a specialized API server. A platform team can therefore expose a simpler internal resource API through CRDs rather than requiring consumers to configure every underlying cloud resource directly.
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How does a Kubernetes-based control plane manage infrastructure?
Users declare what they want
A consumer submits a resource through an API, much as they might submit another Kubernetes object. The declaration describes the desired state, not a sequence of provisioning commands.
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Controllers work toward that state
A controller observes the declared resource and the state of the system it manages, then takes action to bring them into alignment. Crossplane describes its control-plane model as software that controls other software. Its compositions can define custom APIs backed by functions and managed resources; managed resources represent external systems such as cloud services.
This changes the feedback loop. Google Cloud’s Crossplane guidance describes a controller watching external resource state and enforcing the declared configuration: if an external change alters or deletes a managed resource, the controller can reverse the change or recreate it. By contrast, the Terraform Kubernetes-provider guide describes using terraform plan to see proposed changes, including differences from configuration. One model emphasizes ongoing controller reconciliation; the other provides a plan-oriented review workflow. Neither should be treated as the right answer for every resource or team.
Which tool fits which job?
| Approach | Primary scope | How to think about it |
|---|---|---|
| Terraform | Provisioning and managing infrastructure through reusable configuration and lifecycle workflows; its Kubernetes provider also manages Kubernetes resources. | Keep it where the configuration and plan-based workflow fits the team’s ownership and review process. Google Cloud’s IaC guidance recommends Terraform generally for code-based management of Google Cloud, while also describing Kubernetes-based options. |
| Crossplane | Building Kubernetes control planes and custom APIs that manage cloud-native software and external resources through compositions and managed resources. | Consider it when a platform team wants consumers to request capabilities through Kubernetes APIs and wants controllers to reconcile the external resources behind those APIs. It can be adopted for selected resource classes rather than all infrastructure at once. |
| Cluster API | Declarative Kubernetes cluster lifecycle: creating, scaling, upgrading, and deleting Kubernetes-conformant clusters across supported environments and providers. | Use it to address cluster lifecycle. Its scope is not general lifecycle management for unrelated infrastructure. The Cluster API provider contract says, “The goal of a ControlPlane resource is to instantiate a Kubernetes control plane.” |
| Config Controller or Config Connector | Google Cloud resource management using Kubernetes tooling and APIs. | Evaluate these as Google Cloud-specific routes when Kubernetes APIs, GitOps, or platform-engineering practices are part of the intended operating model. |
The documentation versions reviewed for this comparison are Crossplane v2.4 and the Cluster API provider contract v1beta2. Confirm the versions, provider support, and API contracts available for your environment before implementation; support is not universal across providers or resource types.
How should a team choose between reconciliation and plan-based workflow?
Start with the operational behavior you want, not the assumption that one interface is more modern. A controller can continually enforce declared state, which is useful when the platform should maintain a resource without a human running a command for each reconciliation. It can also make an out-of-band edit temporary: if the edit conflicts with the declared state, the controller may undo it. Teams need to decide whether that is acceptable and communicate which system owns the resource.
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A plan-based workflow makes proposed changes visible for review before an operator applies them. That can suit teams whose change process depends on explicit review and operator-directed action. It does not, by itself, mean configuration and live state are permanently aligned: the team must decide how and when to inspect and act on differences.
- Scope: Is the target Kubernetes cluster lifecycle, cloud resources, Kubernetes objects, application deployment, or a higher-level platform API?
- Interface: Do consumers need a Kubernetes custom resource, or is the existing configuration workflow appropriate?
- Drift response: Should a controller continuously enforce declared state, or should an operator inspect a plan and decide what to apply?
- Lifecycle: Does the chosen tool support the create, update, delete, scale, or upgrade operations required for this specific resource class?
- Provider and API coverage: Is the required resource supported by the actual provider and API contract you plan to use?
- Operating model: Can the team run and upgrade the management cluster and controllers, manage credentials and secrets, handle state, and recover from failures?
- Ownership boundary: Which system is authoritative for each resource and field, and what happens if another system or a person changes it?
These are architecture checks, not evidence of comparative performance or cost. The cited product guidance does not establish a universal cost, savings, or performance advantage for either approach.
How can you modernize IaC without migrating everything?
- Inventory ownership. For each resource, record whether Terraform state, a Kubernetes API and controller, a cloud console or API, or a managed cloud service currently owns its lifecycle. Identify overlapping ownership before introducing another reconciler.
- Separate the use cases. Classify cluster creation and upgrades separately from cloud-resource self-service and application deployment. Cluster API addresses cluster lifecycle; Crossplane can provide APIs for external-resource management; Terraform can remain responsible for infrastructure that already fits its workflow.
- Choose a bounded pilot. Select a resource class with a clear owner, a manageable impact if reconciliation behaves unexpectedly, and a consumer need that justifies a new API. Do not start by transferring every resource or assigning two systems authority over the same fields.
- Design the consumer-facing API. If using Crossplane, make the custom resource expose the choices consumers need while keeping implementation details in the composition where appropriate. The goal is a useful platform contract, not simply a Kubernetes-shaped copy of every provider setting.
- Define drift and recovery behavior. Decide how out-of-band edits should be handled, who can make them, and how to restore service if the controller’s desired state conflicts with an urgent operational change. Test the behavior in a non-production scope before expanding ownership.
- Expand in stages. After the pilot, review lifecycle boundaries, provider coverage, team responsibilities, and failure recovery. Move additional resource classes only when the API and operating model solve a real problem for their consumers.
What is the practical modernization boundary?
Modernizing IaC with Kubernetes is best understood as adding a control-plane option, not declaring a winner over configuration-based infrastructure management. Use Crossplane when the problem is a Kubernetes API for platform capabilities and external resources; use Cluster API when it is Kubernetes cluster lifecycle; and retain Terraform where its configuration and plan workflow remain a good fit. A deliberate ownership boundary is what makes these tools coexist safely.
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