"Cluster API (CAPI): Managing Kubernetes Clusters Like Applications" Kubernetes clusters have become critical infrastructure—and also a recurring operational burden. This book is for experienced platform engineers, SREs, and Kubernetes operators who want to manage clusters with the same disciplined, API-driven workflows they use for applications. Instead of scripts and one-off runbooks, you’ll learn to treat clusters as declarative objects, reconciled continuously by controllers, with clear ownership graphs and predictable lifecycle behavior. You’ll build a precise mental model of CAPI’s architecture: management vs. workload clusters, provider responsibilities, and the provider contract that enables portability. From there, the book dives deep into clusterctl installation and upgrade safety, core API objects (Cluster, Machine, MachineDeployment), and kubeadm-based providers for bootstrapping and control-plane management. You’ll come away able to create, scale, upgrade, remediate, and delete clusters reliably—while reading conditions, events, and logs as a coherent reconciliation story across bootstrap, control plane, and infrastructure layers. Practical, operator-grade chapters cover reproducible templates and variables, fleet consistency with ClusterClass and managed topologies, add-ons via ClusterResourceSet, and advanced operations like pivoting with clusterctl move. Expect thorough trade-off analysis, failure modes, and version/compatibility guidance throughout, assuming comfort with Kubernetes CRDs/controllers, RBAC, and multi-cluster operations.
