Use Case
Accelerate incident response with AI agents
Build agents that detect incidents, correlate alerts, run diagnostics, and execute runbooks — reducing MTTR from hours to minutes.
The Problem
- Alert fatigue from too many noisy monitoring alerts
- On-call engineers manually correlate alerts across systems
- Runbooks are outdated and inconsistently followed
- MTTR is too high due to slow diagnosis and escalation
How It Works
- 1Connect to your monitoring stack: PagerDuty, Datadog, etc.
- 2Agent correlates alerts and identifies incident scope
- 3Runs diagnostic checks and executes relevant runbooks
- 4Escalates to on-call with full context if automated fix fails
Results
- 70% reduction in mean time to resolution
- Automated alert correlation eliminates noise
- Runbooks executed consistently every time
- On-call engineers get full diagnosis context on escalation
Example Agent Prompt
Multiple alerts firing for the payments service. Correlate the alerts, check service health, database connections, and recent deployments. Diagnose root cause and attempt remediation.
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