I Built an AI Agent That Fixes Kubernetes Crashes Automatically (Agentic AI) скачать в хорошем качестве

I Built an AI Agent That Fixes Kubernetes Crashes Automatically (Agentic AI)

I built a real AI Agent that detects and fixes Kubernetes incidents automatically. This is Agentic AI for DevOps with live auto-healing demo. Github url: https://github.com/happy-jitesh/kubernetes... In this video, I build a real-world Incident Resolution AI Agent for DevOps. This AI agent automatically: Detects Kubernetes CrashLoopBackOff pods Analyzes pod logs and status Uses an LLM (OpenAI) to decide the best action Restarts or scales services automatically Verifies if the incident is resolved This is NOT basic automation. This is Agentic AI — an autonomous system that observes, reasons, decides, and acts. 🔥 What you’ll learn: Why CrashLoopBackOff is NOT a pod phase How to detect unhealthy pods dynamically (no hardcoding) How AI agents make decisions using LLMs Real Kubernetes auto-healing using Python Production-style DevOps AI architecture 🧪 Demo Setup: Minikube Kubernetes cluster CrashLoopBackOff pod simulation Python-based AI agent OpenAI LLM for reasoning 📌 Chapters: 00:00 Why DevOps needs AI agents 01:10 What is Agentic AI 02:30 Architecture overview 03:30 CrashLoopBackOff explained 05:00 AI agent live demo 07:30 Why this is real Agentic AI 09:00 Production lessons 09:40 Next video teaser (Local LLM with Ollama) 👍 Like the video if this helped 💬 Comment which DevOps task AI should automate next 🔔 Subscribe for real AI + DevOps projects