Cluster workflow
Create clusters from a guided page with location, node pool, network, and billing context.
LayerRail Kubernetes
Kubernetes clusters with visible node lifecycle
Launch clusters, manage node pools, inspect provisioning state, and keep networking and ownership attached to the project.
At a glance
Clusters
Project-scoped Kubernetes control
Node pools
Managed scale and lifecycle state
Networking
Private networks and service access
Key features
Node visibility
Provisioning, running, draining, and deleting states are visible so users know what is happening.
Managed scale
Node pool changes are tracked as cluster work, not as hidden standalone compute tasks.
How it works
Each workflow follows the same LayerRail model: choose the service, attach it to a project, confirm the configuration, and keep lifecycle state visible.
01
Create the cluster
Choose the project, location, node size, node count, and network settings.
02
Manage nodes
Use the nodes page to inspect node state, scale node pools, and see capacity changes.
03
Operate services
Attach load balancers, DNS, firewalls, and backing services around the cluster workflow.
Common use cases
Containerized apps
Run services that need orchestration, scheduling, and multi-node capacity.
Worker platforms
Host background workers and app services that scale beyond a single VM.
Managed infrastructure teams
Keep Kubernetes tied to project billing, access, and lifecycle records.
Start with LayerRail
Open the console, create a project, and launch this workflow with the rest of your cloud resources.