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event-driven-messaging

event-driven-messaging

Use when implementing Kafka, RabbitMQ, Pulsar, or JMS producers and consumers in Spring Boot 4. Covers modular starters, event contracts, idempotency, retries, dead letters, and outbox delivery.

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name: event-driven-messaging description: > Use when implementing Kafka, RabbitMQ, Pulsar, or JMS producers and consumers in Spring Boot 4. Covers modular starters, event contracts, idempotency, retries, dead letters, and outbox delivery.

Event-Driven Messaging

Design for at-least-once delivery unless the complete system proves stronger semantics.

Dependencies and contracts

  • Use the dedicated Boot 4 starter and matching technology test starter.
  • Let Boot manage Spring Kafka, AMQP, Pulsar, and Integration versions.
  • Publish immutable envelopes containing event ID, type, timestamp, schema version, and payload.
  • Treat event schemas as public APIs and evolve them compatibly.
  • Do not serialize JPA entities or internal Jackson configuration as contracts.

Producer rules

  • Publish only after the originating state is durable.
  • Use a transactional outbox when a database write and message must agree.
  • Choose a stable aggregate key when per-aggregate ordering matters.
  • Configure acknowledgements, delivery timeout, and serialization failure behavior explicitly.

Consumer rules

  • Make every handler idempotent with a durable marker or naturally idempotent state transition.
  • Commit the state change and idempotency marker in one transaction.
  • Retry only transient failures with bounded exponential backoff.
  • Route permanent or exhausted failures to a dead-letter destination with diagnostic headers.
  • Build replay as an explicit operation with authorization and auditability.

Testing

  • Use the Boot 4 technology test starter and Testcontainers for broker integration.
  • Test duplicate, reordered, delayed, incompatible, and poison events.
  • Verify schema compatibility independently from handler tests.

Examples

  • See examples/good-consumer.java, examples/good-kafka.yml, and examples/bad-consumer.java.

Official sources

Gotchas

  • Agent assumes broker transactions make external side effects exactly once - consumers still need idempotency.
  • Agent retries every exception - classify permanent failures before retrying.
  • Agent publishes directly after a repository call - use an outbox when atomicity matters.
  • Agent uses old Boot 3 transitive dependencies - declare the Boot 4 messaging and test starters.
  • Agent sends framework entities as events - publish a stable versioned contract.
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