4 Gotchas in Event-Driven Architecture You Need to Be Aware Of

🔄At-least-once delivery in event-driven architecture can result in duplicate messages, requiring developers to handle duplicates properly.

📢Proper event publishing in event-driven architecture is crucial to ensuring that all state changes are properly represented by published events.

🔀Bypassing the API in event-driven architecture can lead to missed event publishing and potential inconsistencies in the system.

⛔Handling failures in event-driven systems requires careful consideration of processing times and potential cascading effects on other consumers.

What is at-least-once delivery in event-driven architecture?

—At-least-once delivery means that a consumer in event-driven architecture may receive duplicate messages, either due to issues with the broker or the publisher.

Why is proper event publishing important in event-driven architecture?

—Proper event publishing ensures that all state changes are represented by published events, allowing consumers to react accordingly.

What are the implications of bypassing the API in event-driven architecture?

—Bypassing the API in event-driven architecture can result in missed event publishing and potential inconsistencies in the system, as events are disregarded.

How should failures be handled in event-driven systems?

—Failures in event-driven systems should be handled with fault-tolerant strategies, such as immediate retries or pushing messages to a dead letter queue.

00:00Introduction to event-driven architecture and the importance of considering common challenges.

03:36At-least-once delivery challenge: duplicate messages may occur, requiring proper handling by consumers.

05:58Proper event publishing challenge: state changes should always result in the publishing of corresponding events.

06:38Bypassing the API challenge: circumventing the API can lead to missed event publishing and potential system inconsistencies.

08:14Failures handling challenge: failures can impact processing times and have cascading effects on other consumers, requiring fault-tolerant strategies.