Design a durable workflow orchestrator that handles duplicate and out-of-order Kafka events, persists state transitions in PostgreSQL, and publishes commands safely through a transactional outbox.
Learn where Kafka exactly-once semantics stop, why database side effects still need idempotency, and how to combine a PostgreSQL outbox with an idempotent Spring Kafka consumer.
Build a stateful Kafka Streams application with event-time windows, local RocksDB stores, changelog recovery, exactly-once Kafka processing, and an idempotent PostgreSQL materialized view.
Plan an expand-migrate-contract rollout for PostgreSQL and Kafka with compatible Spring Boot deployments, chunked backfills, transactional outbox or CDC, validation gates, and safe cleanup.