I Built AI That Debugs Kubernetes Pods INSTANTLY (No More Googling Errors!) ☸️🤖

Description

I built an AI-powered Kubernetes debugger that explains pod failures in plain English using local AI (Ollama). No more Googling cryptic errors like "ImagePullBackOff" or "CrashLoopBackOff" - just run the tool and get instant AI-powered diagnosis and fix suggestions. 🔍 What this tool does: - Automatically finds unhealthy pods in your K8s cluster - Fetches logs and events for failing pods - Uses local AI (Ollama + Llama 3.2) to analyze the failure - Explains the root cause in simple terms with analogies - Suggests specific kubectl commands to fix the issue - Runs 100% offline - no API costs! 💻 Tech Stack: - Kubernetes (Minikube for local testing) - kubectl (K8s CLI) - Python 3.8+ - Ollama (local AI runtime) - Llama 3.2 (AI model) 📁 Get the code: https://github.com/ThinkWithOps/ai-devops-projects/tree/main/02-ai-k8s-debugger 🎯 Next in series: AI AWS Cost Detective (next week!) 📺 Project 1 (AI Docker Scanner): [https://youtu.be/J6fmU6t9jUU] 💬 Questions? Drop a comment! What K8s errors frustrate you most? #kubernetes #devops #ai #ollama #kubectl #tutorial #minikube #docker