DevOps incident commander — reasoned causal hypotheses
Diagnoses production failures from logs, metrics, traces, topology and deployment history.
What is inside
Build an AI incident command system that diagnoses production failures using logs, metrics, traces, topology, deployment history and configuration changes. Production failures today require humans to correlate several systems manually — under time pressure, at night, with incomplete information. Telemetry ingest -> topology -> anomaly engine -> correlation -> hypothesis engine …
- The problem
- Architecture
- Roles
- Hypotheses, not truth
- Security
- Error handling
- Testing
- Evaluation
- Acceptance criterion
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