
Architecture
Event-Driven Architecture: Patterns and Pitfalls
Event-driven systems decouple producers from consumers through async messaging — but eventual consistency, ordering and idempotency add real complexity.
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Systems & patterns · 40 articles · Page 4 of 4

Event-driven systems decouple producers from consumers through async messaging — but eventual consistency, ordering and idempotency add real complexity.

RabbitMQ, Redis Streams, or Kafka — understanding the messaging patterns behind decoupled, resilient systems and when each tool fits.

Not everything belongs in the request-response cycle — queues, workers, retries, and dead letter patterns for reliable background processing.

GraphQL isn't a REST replacement — it's an alternative with different trade-offs that matter depending on your client complexity, team size, and data shape.