Backend
Event-driven Backend Patterns for Scale
Async event pipelines increase throughput when contracts and retries are designed carefully.
When event-driven architecture helps
Event-driven systems work best when processes can be decoupled in time. They are useful for notifications, analytics fan-out, and long-running tasks.
Reliability patterns
- Outbox pattern for safe event publication.
- Dead-letter queues with replay workflow.
- Consumer idempotency with deduplication keys.
Observability and governance
- Schema registry and compatibility checks.
- Lag and failure dashboards by topic and consumer group.
- Replay and backfill procedures documented per domain.