How does Scala support distributed state reconciliation in eventually consistent systems?

Scala systems reconcile distributed state using event logs, conflict resolution strategies, and deterministic replay.

In large distributed Scala systems, nodes often diverge due to network partitions and async processing. Reconciliation is achieved through event sourcing (Kafka or Akka Persistence), where the event log is the single source of truth. Each node rebuilds state by replaying events. Conflicts are resolved using strategies like last-write-wins, vector clocks, or CRDT-based merging. Deterministic reducers ensure identical outcomes across nodes. Reconciliation jobs periodically repair divergence using background replays.