Skip to main contentAI SRE is an AI-powered incident response assistant that works across your code, infrastructure, and telemetry to help you investigate and resolve production incidents faster.
Overview
AI SRE investigates incidents by:
- Analyzing code changes and correlating them with incidents
- Gathering evidence from your observability tools
- Building evidence chains to identify root causes
- Providing insights with confidence levels
Benefits
- Faster MTTR — Reduces investigation time from hours to minutes
- Evidence-based — Uses facts from your systems, not speculation
- Works with your tools — No data migration required; uses your existing integrations
- Confidence levels — Clearly states certainty and what’s missing
Architecture
- You ask — Type questions about incidents in natural language
- AI SRE investigates — Gathers evidence from code, logs, metrics, and changes
- Correlates — Links findings across systems to build evidence chains
- Provides insights — Delivers evidence-based conclusions with confidence levels
- You act — Use insights to resolve incidents faster
Use cases
- Explain the latest code change and its impact — Understand recent deployments and their effects
- Analyze this alert and summarize what’s happening — Get quick context on alerts and incidents
- Identify the root cause and suggest remediation steps — Find root causes and get actionable fixes
- Which team owns this feature or service? — Discover service ownership and team information
Data Security & Privacy
Your data is isolated per company, encrypted in transit and at rest, and never used for AI model training. Integrations use read-only access. See the Security & Privacy section for details.
Limitations
- Read-only — AI SRE cannot make changes to your systems
- Data availability — Insights depend on connected integrations and data quality
- Confidence levels — Findings include confidence levels; always verify critical decisions
- Tool expertise — Works best with well-configured integrations and monitoring
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