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QA & Monitoring

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  • Event taxonomy and data contracts.
  • Access to logging/observability tools and warehouse.
  1. Define checks: event presence, schema conformity, key property coverage, identity rate.
  2. Implement collectors: client debug consoles, server logs, and sample replays.
  3. Add automated tests: unit tests for transforms, dbt tests for models, and e2e user flows.
  4. Monitor SLAs: freshness alerts, row deltas, anomaly detection on key metrics.
  5. Incident response: triage runbook, rollback/replay steps, and postmortems.
  • Alerts trigger on real failures and remain quiet on normal variance.
  • False positives: widen thresholds or segment by environment.
  • Silent failures: add canary events and upstream health checks.
  • 4–8 hours initial setup. Prevents costly decision errors.