event-driven-messaging
Skill344 starsChanged 3 months agoMITView on GitHub
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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The file
We split this skill into the rules it gives an agent
8 rules. About 0 are common, 8 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Use the dedicated Boot 4 starter and matching technology test starter.
- Distinctive: line 17
Treat event schemas as public APIs and evolve them compatibly.
- Distinctive: line 18
Do not serialize JPA entities or internal Jackson configuration as contracts.
- Distinctive: line 23
Use a transactional outbox when a database write and message must agree.
- Distinctive: line 30
Commit the state change and idempotency marker in one transaction.
- Distinctive: line 37
Use the Boot 4 technology test starter and Testcontainers for broker integration.
- Distinctive: line 38
Test duplicate, reordered, delayed, incompatible, and poison events.
- Distinctive: line 39
Verify schema compatibility independently from handler tests.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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, andexamples/bad-consumer.java.
Official sources
- Boot 4 messaging starters: https://github.com/spring-projects/spring-boot/wiki/Spring-Boot-4.0-Migration-Guide#starters
- Spring Kafka reference: https://docs.spring.io/spring-kafka/reference/
- Spring AMQP reference: https://docs.spring.io/spring-amqp/reference/
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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