SRE Knowledge Management

Living documentation that learns and evolves

Skills: Data Science & Site Reliability Engineering

🧠 AI Knowledge Assistant Demo

Engineer asks:

"How do we handle database connection pool exhaustion?"

AI Knowledge Base:

Based on your team's history, here's what worked:

📅 Last occurred: 2 weeks ago in payment-service
🔧 Solution: Increased pool size from 20 to 50 connections
👤 Resolved by: Sarah Chen
⏱️ Time to fix: 12 minutes
📚 Related runbook: DB-CONN-001 (auto-updated 3 days ago)
🎯 Quick fix: kubectl set env deployment/app DB_POOL_SIZE=50
🔄 Long-term: Implement connection pooling with HikariCP

Want me to apply the fix now or see other solutions from similar incidents?

📊 Living Documentation Impact

Auto-Maintained Resources

500+ Runbooks - Updated in real-time from incidents
10,000+ Solutions - Captured from Slack, tickets, PRs
50+ Architecture Diagrams - Always current with deployments

Knowledge Metrics

90% faster onboarding
75% fewer repeat incidents
100% runbook accuracy
Zero tribal knowledge loss

"AI captures every solution, learns from every incident, and shares knowledge instantly across the team"