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Overview

How AI SRE works

Workflows

Detection, triage, RCA

Connectors

Connect your tools

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What AI SRE does

AI SRE investigates production incidents by accessing your code repositories, infrastructure, and telemetry. It does the heavy lifting: querying systems, correlating data, building evidence chains, and identifying root causes—work that typically takes hours. Incident investigation — Reviews code changes, determines scope, queries multiple systems, and builds evidence chains to identify root causes. Change correlation — Links recent deployments, commits, and configuration changes to incidents. Impact assessment — Evaluates blast radius, quantifies business impact, and identifies affected services and users.

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How it works

  1. Connect your stack — Link your code repositories, telemetry, infrastructure, knowledge base, and alerting systems
  2. Ask questions — Describe incidents in natural language
  3. AI SRE investigates — Accesses code repositories, queries logs and metrics, correlates changes, and builds evidence chains across your systems
  4. Review findings — Get evidence-based conclusions with confidence levels and suggested actions
  5. Resolve faster — Use insights to fix incidents in minutes instead of hours