Lessons from building AI debugging agents that assemble context, execute runbooks, and help on-call engineers reach root cause faster.
by Avijeet Gupta, Bhuban Seth and Kusum Madarasu
In our previous blog post, we shared how Databricks uses AI to debug thousands of databases. Here, we continue that story by exploring how our engineers use AI to operate 100s of microservices across 1500+ Kubernetes clusters, spanning 70+ regions and three clouds.
When something breaks at 2 AM, the on-call engineer needs to answer one question quickly: What changed?
AI SRE is an AI-powered debugging agent that begins investigating as soon as an incident fires. It correlates signals from across our stack and guides engineers through root cause analysis.
