Most of us run kubectl apply -f dozens of times a day without thinking about the machinery it sets in motion. But when something breaks, a Pod stuck in Pending, a Service that won't route, a Deployment that never converges, understanding that machinery is the difference between guessing and debugging.

In this article, I'll map the end-to-end flow...