event-driven-architecture

The transactional outbox pattern ensures reliable event publishing by saving events to a database table within the same transaction as business data changes. You need it to guarantee atomic state updates and event emission in distributed systems without dual-write inconsistencies.

Use the saga pattern to manage distributed transactions in microservices by coordinating a sequence of local transactions. If any step fails, compensating events trigger automatic rollback across services, maintaining data consistency without distributed locks.

Implement idempotency by tracking processed message identifiers to prevent duplicate side effects. Route unrecoverable failed messages to dead-letter queues for isolation and later replay, ensuring fault tolerance and reliable asynchronous processing.

Yes, event-driven architecture design supports integration with Kafka, RabbitMQ, and SQS/SNS message brokers. You can apply patterns like event sourcing, CQRS, and transactional outbox across these platforms to build decoupled, scalable asynchronous systems.

The best way to implement CQRS and event sourcing is to separate write models that append state changes as events from read models built from those events. This decouples processing and enables robust, scalable asynchronous systems with reliable data replay.