Beyond InferenceService Readiness: 5 GitOps Failure Modes That Break KServe Deployments

A sequel to my KServe readiness post — five GitOps control-plane failure modes with exact terminal output, diagnostics, and repeatable fixes for ArgoCD + KServe stacks. This post is a follow-up to my earlier KServe piece on endpoint readiness: 👉 Why Your KServe InferenceService Won't Become Ready: Four Production Failures and Fixes That article focused on why an InferenceService may not become Ready . This one zooms out to a broader question: What breaks when the GitOps control plane itself is unstable? Most GitOps + AI serving tutorials still focus on the happy path — install ArgoCD, apply KServe, deploy InferenceService, done. But in real platform work, the happy path is the easy part. The hard part is when your app is OutOfSync , the webhook has no endpoints, and everything looks healthy except the thing you actually need. This post covers the five failure modes that repeatedly broke KServe deployments in a real production-grade platform build, with exact terminal output, root cause