event-driven-architecture

An event-driven architecture orchestrates decoupled services for asynchronous order processing by defining event schemas, idempotent handlers, and message queues to ensure durable, resilient service communication.

To ensure idempotent processing and durability in event streams, design robust event schemas, implement replay capabilities, and apply compensation mechanisms to handle errors while maintaining data integrity across distributed services.

Choosing between pub sub, queues, and streaming depends on your integration requirements: pub sub broadcasts events to multiple subscribers, queues manage point-to-point workloads, and streaming enables continuous event stream processing.

Yes, you can build a real-time analytics pipeline using event-driven design patterns by leveraging event streams and topics to capture user activity tracking data asynchronously across decoupled service boundaries.

Handle errors in an event-driven pipeline by implementing compensation mechanisms and utilizing replay capabilities to reprocess failed events, ensuring durable message delivery and consistent state recovery across services.

Avoid event-driven patterns when strict synchronous consistency is required across service boundaries, as the asynchronous nature of message queues and event streams introduces eventual consistency and potential replay complexity.