KubeFM · 2026-05-05 · 38 min
What happens when an AI agent stops generating Kubernetes YAML and starts operating the cluster directly? Mike Solomon , software engineer at AIATELLA, explains how his team moved from a sprawling Helm setup to Markdown-driven infrastructure specs that Claude Code can execute, test, and refine. You will learn Why Helm became hard to maintain for a fast-moving medical infrastructure repo How Claude debugged Argo, TLS conflicts, kubectl patches, and private registry credentials How runbooks plus agent memory files capture failures so deployments become reproducible. It is a practical look at where Kubernetes automation may be heading: less hand-written YAML, more precise intent, and a sharper definition of when the human must stay in the loop. Sponsor This episode is sponsored by LearnKube - get started on your Kubernetes journey through comprehensive online, in-person or remote training. More info Find all the links and info for this episode here: Interested in sponsoring an episode? Learn more.
The Hidden Cost of Slow Autoscaling, with John Ford81 / 100The Namespaces Scaling Trap, with Brian StackSaaS with Kubernetes Operators and Garbage Collection, with Alexander HeldWhat Hip-Hop Can Teach Us About Kubernetes, with Kelsey Hightower, Eric Abercrombie, and Julius Payne IIIntelligent Kubernetes Load Balancing, with Rohit Agrawal