Rootly AI SRE helps engineering teams handle production incidents in complex infrastructure. It reviews code changes, telemetry, and incident history to speed up root cause analysis and guide remediation.
Automated incident investigation
When an incident occurs, the AI examines recent repository changes along with metrics, logs, and alerts. It then builds a root-cause hypothesis and highlights likely commits and components, turning noisy signals into a structured, prioritized investigation.
Fix suggestions and faster SRE workflows
Rootly AI SRE goes beyond diagnosis by proposing potential fixes based on similar past incidents and common remediation patterns. This is useful when the on-call engineer isn’t familiar with a specific service or area of the codebase.
Fits into existing response processes
The tool is designed to support end-to-end incident response, including triage and postmortem analysis.
- Analyze code, metrics, logs, and alerts in one investigation flow
- Generate root-cause hypotheses and point to suspicious changes
- Suggest fixes using historical incident context
- Reduce time to detect and resolve incidents
- Lower on-call load with clearer, prioritized guidance
