How does Kotlin handle consistency tradeoffs in event-driven microservices?

Kotlin systems rely on eventual consistency with explicit compensation and idempotency handling.

Event-driven systems built in Kotlin (often using Kafka) do not guarantee immediate consistency. Instead, they rely on eventual consistency where state converges over time. This requires careful design of idempotent consumers, deduplication strategies, and compensating transactions. Kotlin helps express these models cleanly using sealed results and coroutine-based consumers.