How does Scala support distributed job orchestration with failure recovery?

Job orchestration uses durable queues, retries, idempotency, and state tracking.

Scala-based orchestrators manage distributed jobs using Kafka queues, Akka actors, or workflow engines. Each job has a persistent state machine. Failures trigger retries with exponential backoff or compensation actions. Idempotent job execution ensures safe reprocessing. State checkpoints allow recovery after node failure.