This deep dive explains how workflow orchestration engines work, from DAG-based scheduling and task queues to durable execution, retries, idempotency, timers, state management, and horizontal scaling. Using systems like Airflow, Temporal, Cadence, Conductor, and AWS Step Functions as reference points, it breaks down the core architectural patterns that power modern workflow automation.