It's 2 AM. A pod is crashing. You have no idea why.
You open Stack Overflow. The top answer is from 2019 and the commands don't work anymore.
You ask ChatGPT. It gives you a confident answer with a flag that doesn't exist.
You open 10 more tabs. Nothing is specific to your exact error message.
This happened to me too many times.
I'm a DevOps Engineer with 4 years of experience managing production infrastructure on Kubernetes (EKS) and Ericsson private cloud. After hitting the same walls over and over — outdated answers, hallucinated commands, GitHub issues with no resolution — I built DevOpsDebug.
What is DevOpsDebug?
It's a searchable database of real DevOps errors with verified fixes.
Not a blog. Not a tutorial site. A database where you paste your exact error message and get the exact fix — with the commands that actually work.
What's live right now:
🔍 Errors Database
Searchable errors for Kubernetes, Docker, AWS, Jenkins, Terraform, Linux and Ansible. 100+ errors documented so far, adding more every week from real production incidents.
💬 Community Q&A
Can't find your error? Post it. Real DevOps engineers answer — not bots, not AI.
🎯 Free Mock Interviews
Book a mock interview with actual DevOps engineers. You get honest feedback, a written report and a personalized study plan. Not AI-generated.
📚 Learning Roadmap
Structured path from zero to DevOps engineer — Linux → Networking → Docker → Kubernetes → AWS → CI/CD → Monitoring — with curated resources at every stage.
Why not just use ChatGPT?
I get this question a lot.
ChatGPT is great for explaining concepts. It's terrible for production debugging because:
- It doesn't know your exact error code
- It hallucinates flags and commands that don't exist
- It can't tell you that a specific fix only works on Kubernetes 1.24+
- It has no community validation — one wrong answer can take down your service
DevOpsDebug gives you exact error codes, verified commands, and community-tested solutions. Speed matters at 2 AM.
What's next?
- Adding 500+ more errors from real Jira tickets and production incidents
- Helm, ArgoCD, GitHub Actions error categories
- Interview questions section by tool
- Weekly newsletter with new errors by tech stack
Try it
It's free. No login needed to search errors.
Would love feedback — what errors do you keep hitting that you can never find a clean answer for? Drop them in the comments and I'll document them. 🙏
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