Stop debugging Kubernetes at 2 AM with 15 different kubectl commands.
When a pod enters CrashLoopBackOff in production, 80% of your time isn't spent fixing the problem—it's wasted context-switching between , previous logs, events, and YAML specs trying to find what actually broke.
I built 🩺 KubeDoctor — an autonomous Kubernetes diagnostic and incident triage platform that brings complete clarity in seconds.
Here is what's happening in the 28-second demo [watch video]: 🔍 Instant Root Cause Analysis: Auto-diagnoses CrashLoopBackOff, Missing Secrets, Broken Service Selectors, and Node DiskPressure. 💡 SRE-First Remediation: Generates the exact, copy-pasteable CLI command to fix the issue immediately without guesswork. 📜 Container Crash Forensics: Streams live container crash tracebacks with instant keyword search. 🔔 Chronological Events Timeline: Correlates Kubernetes warning and normal events in real time. 📄 Automated Post-Mortem Export: Generates a complete 4-section Markdown incident report with one click.
Built with Python & the Kubernetes Client API, and tested end-to-end with Microsoft Playwright browser automation. 👉 Question for DevOps & Platform Engineers: When an incident strikes in production, do you prefer getting the exact CLI fix to verify and run manually, or do you prefer the system to auto-heal autonomously?
Let me know your thoughts in the comments! 👇 Kubernetes #DevOps #SRE #CloudNative #Python #Playwright #SoftwareEngineering #PlatformEngineering #Automation