Real-World Incident Automation Using GCP: How I Cut MTTR by 80%

We used to resolve incidents with Slack messages, gut instinct, and heroics. Now most incidents resolve themselves. Here's exactly how I built that. The Problem with Manual Incident Response At 2:47am on a Tuesday, our payment service started throwing errors. A senior engineer woke up to a PagerDuty alert, spent 12 minutes just finding the right runbook, another 20 minutes correlating logs across three different dashboards, and finally identified a misconfigured connection pool that had been deployed 6 hours earlier. Total time to resolve: 51 minutes of customer-impacting downtime. The fix itself? Four lines of config. The rest was just finding the problem . I decided to systematically eliminate the detective work. This post covers the automation layer I built on GCP to detect, diagnose, and in many cases auto-remediate incidents before a human ever gets paged. System Architecture [Cloud Monitoring] | | Alert fires (Pub/Sub notification) ▼ [Cloud Functions] ← Incident Orchestrator | ├─