Represent a real process as tasks with clear dependencies and durable outputs. Keep tasks safe to retry, then test the workflow using a small date range or sample dataset before scheduling the full production workload.
Use the web interface to inspect failures and understand which task owns each result. Airflow orchestrates work rather than replacing every data-processing engine. Plan scheduler, worker and metadata-database operations, and budget for the systems that execute the actual computations.
