How does Scala support distributed scheduling systems for large-scale workloads?

Scala supports distributed scheduling using cluster coordination, leader election, and job queues.

Distributed schedulers in Scala coordinate execution of jobs across multiple nodes using Akka Cluster, Quartz, or custom scheduling layers. Leader election ensures only one node triggers scheduled tasks. Jobs are stored in durable queues (Kafka, DB) and executed with retry semantics. Fault tolerance ensures job recovery after node failure.