How does Scala support distributed time synchronization in event-driven systems?

Scala systems rely on logical clocks, event timestamps, and watermarking instead of perfect time sync.

Distributed systems cannot rely on perfectly synchronized physical clocks. Scala-based streaming systems use logical clocks (Lamport timestamps), event-time processing, and watermarking to handle ordering. Frameworks like Spark and Flink distinguish event time vs processing time. Watermarks define how long to wait for late events. This ensures correctness even with network delays and clock skew.