Cluster API (CAPI) is changing how teams (and homelabbers) manage fleets of Kubernetes clusters across diverse environments. In this session I’ll share lessons taken from providing Kubernetes as a Service for production workloads, alongside hands-on experimentation in a homelab.

We’ll explore CAPI’s core features, see how it enables consistent, declarative cluster lifecycle management across a variety of infrastructures, and compare and contrast experiences between datacenters and homelabs.

A short demo will showcase cluster provisioning, upgrades and scaling, and we’ll finish with some tips and tricks learnt from administrating hundreds of clusters to help you succeed with CAPI, wherever you use it.