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- Event taxonomy and data contracts.
- Access to logging/observability tools and warehouse.
- Define checks: event presence, schema conformity, key property coverage, identity rate.
- Implement collectors: client debug consoles, server logs, and sample replays.
- Add automated tests: unit tests for transforms, dbt tests for models, and e2e user flows.
- Monitor SLAs: freshness alerts, row deltas, anomaly detection on key metrics.
- 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.