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Event-Driven Architecture with RabbitMQ

Designing reliable publishers, idempotent consumers, and dead-letter handling in distributed systems.

Nestlancer Editorial

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Events decouple services—but at-least-once delivery means consumers must be idempotent. RabbitMQ excels when teams invest in publisher confirms, dead-letter queues, and outbox patterns.

Publisher reliability

Never fire-and-forget critical domain events:

  • Use publisher confirms and retry with exponential backoff
  • Pair database commits with transactional outbox rows
  • Dedicated outbox poller publishes after commit succeeds
  • Include eventId, schemaVersion, and occurredAt in every payload

Consumer design

@Processor('user.registered')
async handle(event: UserRegisteredEvent) {
  const processed = await this.idempotencyStore.get(event.eventId);
  if (processed) return;
  await this.welcomeEmail.enqueue(event.userId);
  await this.idempotencyStore.set(event.eventId);
}

Dead-letter handling

DLQ signalResponse
Poison message (bad schema)Alert + quarantine, do not infinite retry
Transient downstream failureRetry with backoff, then DLQ
Repeated DLQ depth growthPage on-call, pause consumer if needed

Exchange topology

Prefer topic exchanges with explicit routing keys per domain (user.registered, payment.captured). Fanout is for broadcast analytics, not command routing.

RabbitMQ rewards disciplined schemas and idempotent handlers—treat events as contracts, not log dumps.

Schema evolution

Version every event payload. Consumers ignore unknown fields; producers never remove fields without deprecation window. Breaking schema changes are new routing keys—not silent Friday deploys.

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