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LayerRail Kubernetes clusters, also called LKS, give your project a managed control plane and worker nodes for container workloads. Use LKS when your application needs deployments, services, rolling updates, cluster networking, and Kubernetes-native tooling.

Cluster model

ComponentPurpose
Control planeRuns the Kubernetes API and control components.
Worker nodesRun application pods.
Node poolsGroup workers with the same size and role.
KubeconfigLets kubectl authenticate to the cluster.
Load balancersExpose workloads outside the cluster.

Common use cases

  • Multi-service applications.
  • APIs and worker deployments.
  • Internal platforms.
  • CI/CD environments.
  • Self-hosted tools.

Limitations

Cluster capabilities depend on the selected location, available VM sizes, and current LayerRail Kubernetes support.
Start with one worker node for development. Add nodes when workloads or availability needs grow.

Quickstart

Resize a cluster

Expose with TLS

Load balancers