AI DevOps Project #1 - Kubernetes AI Troubleshooting Agent
Useful links for the video:
- Getting started with InsForge - https://go.insforge.dev/abhishekveeramalla
- GitHub Repo - https://github.com/iam-veerama....lla/AI-DevOps-Kubern
In this video, I build an AI Kubernetes Agent from scratch that can automatically troubleshoot Kubernetes problems like a real DevOps engineer. When something breaks in Kubernetes, engineers usually spend hours checking logs, debugging pods, inspecting deployments, and hunting for the root cause.
So I asked myself:
What if an AI agent could do this automatically?
Instead of building another basic demo, weโre creating a real AI-powered DevOps system that investigates production-like Kubernetes failures and helps engineers understand exactly what went wrong.
๐ฅ In this project, I intentionally break Kubernetes with real-world issues like:
โ
Pod failures
โ
Image pull errors
โ
Resource & memory issues
โ
Networking problems
โ
Deployment failures
Then we build an AI agent that can:
๐ง Understand the issue
๐ Investigate the Kubernetes cluster
๐ Explain the root cause
โก Suggest fixes engineers can apply
This is not just another tutorial.
Youโll see the full process of building an actual DevOps product from scratch using AI + Kubernetes + cloud-native technologies in a practical, beginner-friendly way. For the backend and authentication layer, Iโll also use InsForge as part of the implementation for:
โก Authentication
โก Backend APIs
โก Realtime updates
โก Investigation history storage
By the end of this video, weโll have a working AI Kubernetes Troubleshooting Agent that can assist engineers during incidents and reduce debugging time dramatically.
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About me:
========
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Telegram Channel : https://t.me/abhishekveeramalla
LinkedIn: https://www.linkedin.com/in/abhishek-veeramalla
GitHub: https://github.com/iam-veeramalla
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