Build AI DevOps Agent That Debugs & Fixes Kubernetes Issues 🤖🔥

About this lesson

GitHub Repo: https://github.com/iQuantC/AI_Agent_for_Automatic_Kubernetes_Debugging_01 We’re entering a world where systems don’t just fail… 👉 They fix themselves. In this video, we build a DevOps AI Agent from scratch that can: 1. 🔍 Detect Kubernetes issues (OOMKilled, CrashLoopBackOff, etc.) 2. 📜 Analyze real pod logs 3. 🧠 Use an AI model to diagnose problems 4. ⚡ Apply fixes automatically using kubectl And the best part? 👉 We use 100% open-source tools — no paid APIs required. 🚀 What You’ll Learn: 1. How to build a real AI agent for DevOps 2. How to integrate AI with Kubernetes 3. How to use Chroma DB for intelligent memory 4. How to automate debugging using logs + LLMs 5. How modern DevOps is evolving with AI 🤖 🧰 Tech Stack: 1. Kubernetes (Minikube) 2. LLM via Ollama 3. Vector DB: Chroma 4. AI Framework: LangChain 5. Python 6. Embeddings from Hugging Face 💡 Why This Project Matters This is the future of DevOps: 👉 Self-healing infrastructure 👉 AI-powered monitoring 👉 Automated debugging systems If you're into: 1. DevOps Engineering 2. Kubernetes 3. AI / LLMs 4. Automation 👉 This project is a must-watch 💬 Let’s Connect If this helped you: 👍 Like the video 🔔 Subscribe for more DevOps + AI projects 💬 Drop your questions in the comments

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