event-driven-architect

Design broker-agnostic event-driven architectures by enforcing consistent topic naming, versioning, and per-key ordering rules. This approach ensures reliable delivery and integration across different brokers without coupling your services to a specific platform.

The outbox pattern ensures atomic writes of business data and event publication. By writing events to a database table in the same transaction as state changes, it guarantees consistent data integrity and reliable event delivery without lost messages.

Prevent breaking changes in Protobuf schemas by applying buf breaking discipline and additive versioning. This enforces strict schema evolution rules, ensuring consumers never break when producers update event contracts.

Handle failed events and retries using Dead Letter Queues (DLQs) alongside observability patterns. This monitors failure points, isolates poison messages, and provides visibility into retry states to maintain system reliability.

Yes, strict idempotency is required for event consumers to handle duplicate deliveries safely. By tracking processed event IDs, services prevent duplicate side effects and maintain data consistency across distributed contexts.

The best way to guarantee transactional consistency is implementing strict outbox transactional guarantees. This pattern binds event publication to business state changes within a single transaction, preventing inconsistent data and phantom events.