From detection to resolution, automatically
Mihari connects your monitors, telemetry, error tracking, and Git repositories to detect, diagnose, and resolve incidents automatically. Generate postmortems in one click.
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Resolve incidents before your team wakes up
When a monitor or heartbeat is linked to telemetry and error tracking sources, Mihari correlates signals to identify the root cause automatically. If the error clears or the deployment rolls back, the incident is resolved without human intervention.
- Link monitors and heartbeats to telemetry sources (logs, metrics, traces)
- Connect error tracking to automatically identify the faulty code path
- Correlate deployment events with error spikes to pinpoint the root cause
- Auto-resolve incidents when the root cause is remediated or rolled back
- Reduce mean time to resolution (MTTR) by eliminating manual triage
Linked Sources
Telemetry - Logs & Metrics
api-gateway / production
Error Tracking
api-gateway / Sentry
GitHub Repository
acme/api-gateway
Error spike correlates with deployment v2.8.1 (deployed 14:30 UTC). NullReferenceException in UserService.cs:142 matches the HTTP 503 pattern from telemetry logs.
acme/api-gateway
main
acme/frontend-app
main
Auto-patch incidents with commits and merge requests
Connect your GitHub, GitLab, or Bitbucket account, then link monitors and sources to a repository. When an incident is detected and the root cause identified, Mihari can automatically create a commit and a merge request to patch the issue.
- Connect GitHub, GitLab, or Bitbucket accounts in one click
- Link monitors and telemetry sources to specific repositories
- Auto-generate fix commits based on error tracking root cause analysis
- Create merge requests with CI pipeline validation before merge
- Full audit trail linking incidents to commits, MRs, and deployments
Learn from every incident with structured postmortems
After an incident is resolved, Mihari generates a comprehensive, blameless postmortem pre-filled with the timeline, root cause analysis, severity matrix, and action items. Export it or use our template to run your own post-incident review.
- Blameless postmortems auto-generated from the incident timeline and telemetry data
- Severity matrix with customer impact, time to identification, and time to resolution
- Root cause analysis pre-filled using the 5 Whys technique
- Short-term and long-term action items with assignees and deadlines
- Export as Markdown, PDF, or share via Slack and Confluence
The complete incident lifecycle, automated
From the first alert to the final postmortem, every step is connected and intelligent.
Detection
Monitors and heartbeats detect anomalies in real-time across all your services and endpoints.
Correlation
Telemetry logs, metrics, and error tracking data are correlated to identify the root cause automatically.
Resolution
A fix commit and merge request are created on your linked Git repository. CI validates the patch before merge.
Postmortem
A blameless postmortem is generated with the complete timeline, root cause analysis, and actionable improvements.
Incidents resolved faster, insights preserved
Automated incident management reduces MTTR and ensures every outage leads to concrete improvements.
80%
Incidents auto-resolved
<5m
Avg. time to identify
100%
Postmortems documented
3x
Fewer recurring incidents
Frequently asked questions
Stop firefighting, start auto-resolving
Connect your monitors, telemetry, and Git repos. Let Mihari detect, patch, and document incidents for you.