Resolve incidents faster, together.
From initial alert to final post-mortem. Collaborate with your team, leverage AI insights, and automate your incident response workflow.
AI-Powered Root Cause Analysis
Don't waste time hunting through logs. Our AI instantly analyzes failing monitors to determine probable causes and recommend next actions.
Monitor 'Production DB' breached its criteria at 11:38 UTC, resulting in cascading downstream failures for 'Production API'. Both monitors have since recovered as of 11:46 UTC.
Probable Cause
Root Cause
Connection refused. Database server unreachable on port 5432.
Failing health checks due to upstream database connection timeouts.
Recommended Next Actions
Review database connection pool metrics and active slow queries.
Investigate database host CPU, Memory, and Disk I/O utilization during the incident window.
Collaborative Resolution
When things break, communication is key. Acknowledge incidents to let the team know you're on it, add timestamped notes as you investigate, and keep everyone on the same page.
- Acknowledge incidents to halt escalation chains
- Add investigation notes and status updates
- Track the complete resolution timeline
Resolution Timeline
Service restored. Incident resolved automatically after monitors reported healthy.
I've identified the cause as database connection exhaustion. Scaling the connection pool and restarting affected API instances now.
Acknowledged the incident. Escalation policies paused.
Level 2 Escalation: Text message sent to Sarah Pascal.
Level 1 Escalation: Phone call to John Smith failed (No Answer).
Incident automatically created by failing monitor "Production DB". Email sent to John Smith.
Incident #13022 — Production DB
A monitoring alert on the "Production DB" monitor opened incident INC-13022 in the Production project on 2026-06-15, which immediately triggered cascading alerts for the "Production API". The confirmed root cause was database connection exhaustion leading to API timeouts. The incident was rated high severity and lasted approximately 39 minutes. Service was restored after scaling the database connection pool and restarting affected API instances.
Automated Post-Mortems
Once an incident is resolved, we automatically generate a comprehensive post-mortem report detailing exactly what happened, when it happened, and how it was fixed.
- Auto-generated summary and impact assessment
- Detailed minute-by-minute timeline
- Export to Markdown or PDF to share with stakeholders
Escalation Policies
Tie incidents directly into your escalation policies to ensure the right person gets paged at the right time.
AI Context
AI analyzes past incidents to find related issues, helping your team identify recurring problems faster.
MTTR Tracking
Automatically track Mean Time to Resolution and other critical metrics to measure your team's incident response health.