Event-Driven Architecture

When to Use

Design event-driven integration between bounded contexts or microservices
Choose pub/sub vs point-to-point, topics vs queues, and broker capabilities
Model domain events, integration events, and command vs event semantics
Apply event sourcing or CQRS at architecture level (not framework tutorials only)
Define schemas, compatibility rules, and event schema versioning strategy
Specify ordering, partition keys, and delivery guarantees (at-least-once, etc.)
Design idempotent consumers, deduplication, and exactly-once tradeoffs
Implement transactional outbox or inbox for reliable publish/consume
Decide choreography vs orchestration and saga compensation at pattern level
Operate dead-letter queues, replay, and stream reprocessing safely
Distinguish stream processing (Kafka Streams, Flink) from discrete business events