Cluster API is a Kubernetes subproject under the Special Interest Group for Cluster Lifecycle that provides declarative APIs and tooling to automate the provisioning, upgrading, and operation of multiple Kubernetes clusters. Written primarily in Go, the project applies Kubernetes-style patterns to cluster lifecycle management, allowing platform operators to define infrastructure resources such as virtual machines, networks, load balancers, and VPCs alongside Kubernetes cluster configuration using consistent declarative approaches. This unified model enables repeatable cluster deployments across diverse infrastructure environments by treating cluster infrastructure the same way application developers manage their workloads.
The project's architecture centers on an extensible provider system that supports any infrastructure platform including AWS, Azure, and vSphere, along with various bootstrap and control plane providers. Kubeadm is built-in as a supported control plane provider, and the project maintains a growing list of community-supported providers. This extensibility allows organizations to standardize their cluster deployment processes regardless of their underlying infrastructure choices.
This integration reflects Cluster API's role as a foundational component in the Kubernetes infrastructure automation landscape. The project is classified across multiple domains including infrastructure automation, cluster lifecycle management, machine provisioning, declarative APIs, cloud integration, node scaling, cluster upgrades, and resource reconciliation, highlighting its comprehensive approach to cluster operations.
Cluster API provides extensive documentation through its official book at cluster-api.sigs.k8s.io, which includes quick-start guides and in-depth information for users. The project maintains active community engagement through weekly working group sessions held on Wednesdays at 10:00 PT via Zoom, a dedicated Kubernetes Slack channel, and a Google Group for the SIG Cluster Lifecycle. The project welcomes contributions and maintains a contributor guide alongside the Kubernetes community guidelines, with specific issue tags for good first issues and help wanted items to facilitate new contributor onboarding.
