Distributed transactions remain one of the hardest challenges in microservice architecture. This article covers three proven patterns that help maintain data consistency without relying on traditional two-phase commits. The Outbox pattern ensures reliable event publishing by storing events in the same database as business data. Idempotency guarantees that repeated requests produce the same result, critical for retry logic. Saga coordinates long-running transactions through compensating actions. For Java developers building microservices, mastering these patterns is essential for production reliability. The article provides code examples and practical advice for implementing each pattern in Java, making it a valuable reference for teams dealing with distributed data consistency.
A practical guide to Outbox, Idempotency, and Saga patterns for Java microservices, with insights on when to apply each.