
Be precise about what starts a flow, and add guards. Filter noisy triggers, validate payloads, and require approvals for sensitive updates. Use circuit breakers for runaway loops. When an order total looks suspicious, pause and request a human thumbs‑up before committing downstream changes.

Design for failure from day one. Capture errors with context, not just codes, and surface next steps. Send actionable alerts to the right channel, not everyone. Dashboards showing queue health, latency, and retries prevent mysteries and guide graceful recovery without frantic late‑night guesswork.

Treat flows like software. Write small tests, seed sample data, and simulate outages. Use feature flags and rollbacks to release safely. Document dependencies and runbooks. When a bakery tested blackout scenarios, their orders still printed, and customers never noticed a blip.