skill-arch-event-driven

To implement a saga pattern in event-driven architecture, configure services to publish and subscribe to domain events using a shared schema and an orchestrator to coordinate long-running workflows. This structures cross-service coordination and tracks compensation across distributed systems.

Domain events in microservices represent state changes within a single service boundary, while integration events are used to propagate state changes across service boundaries. This distinction requires clear event types, shared schemas, and specific naming conventions for reliable cross-service communication.

To ensure idempotency for event handlers in distributed systems, apply robust patterns for ordering, retries, and compensations alongside Dead Letter Queue (DLQ) strategies. This guarantees safe retry and failure handling across microservices without duplicating side effects.

You should use event sourcing with CQRS in microservices when building audit trails or modeling complex domain streams. This approach separates read projections from write models, enabling scalable cross-service workflow tracking and reconstructing system state from event streams.

Limitations of event-driven architecture for microservices include managing complexity in designing, coordinating, and operating scalable services. Without clear event types, schemas, and robust patterns for ordering and retries, distributed workflows become difficult to track and debug.