# Databricks — How Databricks Uses AI to Accelerate Incident Investigation

- Company: Databricks (databricks.com)
- Announced: 2026-08-24T17:00:00+00:00
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://www.databricks.com/blog/how-databricks-uses-ai-accelerate-incident-investigation
- Record: https://forck.live/items/17497-how-databricks-uses-ai-to-accelerate-incident-investigation
- Subject: Mosaic AI

AI SRE assists engineering teams across Databricks operate 100s of microservices deployed across 1,500 Kubernetes clusters, spanning 70+ regions and three clouds The platform enables teams to build and maintain their own composable agentic runbooks, allowing the system to successfully scale across 150+ teams and 2,000+ daily investigations. To ensure reliability, the system prioritizes transparency over black-box reasoning by linking every diagnostic recommendation directly to verifiable raw evidence, forcing a "context-first" development approach. 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. …

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