Why Your KServe InferenceService Won't Become Ready: Four Production Failures and Fixes

A practitioner's account of the errors the KServe getting-started documentation doesn't tell you about — with exact terminal output, root causes, and working Kustomize patches. This article documents four production failures I encountered while deploying KServe on a local k3d cluster as part of building NeuroScale — a self-service AI inference platform. None of these failures appear in the official KServe getting-started documentation. If you are deploying KServe without Istio, this will save you several hours of debugging. What I Was Building NeuroScale is a self-service AI inference platform on Kubernetes. The goal was simple: one InferenceService named sklearn-iris reaches Ready=True and responds to a prediction request. The install had to be GitOps-managed via ArgoCD — not "I ran some scripts." Getting there took two days and four distinct failures. Here is every one of them. Stack: k3d (local Kubernetes) · KServe 0.12.1 · ArgoCD · Kourier (no Istio) · Knative Serving 📝 Author's No