incidentOS — Autonomous Incident Detection & Code Remediation
incidentOS watches your traces, diagnoses root causes across your service graph, and opens a remediation pull request — before your on-call even gets paged.
How incidentOS Works
- Detect — Continuously ingests spans from your observability stack. When a P99, error rate, or trace volume anomaly crosses a threshold.
- Diagnose — The service graph and trace data construct a causal chain. We identify the responsible span, the contributing commit, and the exact file and line.
- Remediate — A targeted code fix is generated and opened as a pull request. CI runs. If it passes, the PR is flagged for immediate human review.
Built for SRE Teams
- Trace-native — works with OpenTelemetry, Datadog APM, Jaeger, and Grafana Tempo
- Commit-level attribution — every incident traced to the specific commit that introduced it
- Human in the loop — PRs are generated, not merged. You review and approve.
- Slack native — incident context, PR links, and confidence scores in your channel
- Multi-service graph — correlates upstream degradation with downstream effects
- GitHub integration — PRs with conventional commits and linked incident IDs
Free during beta. Join the waitlist for early access.
From the incidentOS Blog