Error handling
Handle workflow failures with retries, compensating steps, fallback branches, and alerts so partial runs do not leave data or downstream systems stuck.
Workflows fail in the real world: APIs time out, databases lock, humans go offline. Good error handling turns chaos into retries, compensations, and clear operator signals instead of silent data drift.