How We Built an AI That Never Forgets Production Incidents
Can AI become your smartest Site Reliability Engineer? We decided to find out.
Every software engineer has experienced that one stressful night. You're finally asleep when your phone suddenly buzzes. It's 2:47 AM. PagerDuty has triggered an alert, CPU usage is skyrocketing, users are reporting errors, and Slack is already filling up with messages. One engineer is checking dashboards, another is digging through Kubernetes logs, while someone else is asking, "Did anyone deploy something recently?" Meanwhile, every passing minute means more downtime, frustrated customers, and lost revenue.
For years, we've accepted this chaos as part of running software in production. But the more incidents we handled, the more one question kept coming back to us:
Why are engineers spending more time finding the problem than actually solving it?
