Event-Driven Architecture

Technical explanation

Producers publish events without directly controlling consumers. Brokers, streams, or queues distribute them to interested services, which react asynchronously. Designs must address event contracts, delivery guarantees, ordering, idempotency, schema evolution, retries, and observability.

Business relevance

EDA can reduce coupling, improve responsiveness, and let multiple processes react to the same business event. It supports scalable integration and near-real-time automation.

Implementation example

When an order is confirmed, an event triggers inventory reservation, customer notification, analytics, and fulfilment independently rather than through one synchronous chain.

Limitations and common misconceptions

Asynchronous systems are harder to trace, test, and reason about. Duplicate, delayed, or out-of-order events are normal design concerns, and eventual consistency may not suit every process.

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