event-driven-architecture

Event-driven architecture uses events as the primary means of communication and state changes, providing a blueprint for building scalable, decoupled systems. You should use it for microservices, data pipelines, and cloud workloads requiring reliable messaging and event sourcing.

Implement event sourcing and CQRS by using an append-only event log for replayable state, and separate your write models from read models using projections. This pattern enables distinct write and read models, ensuring scalable state management and temporal queries for audits.

Saga orchestration coordinates distributed transactions across microservices by executing a sequence of steps with compensating actions. If a step fails, compensating actions undo prior operations, ensuring reliable distributed transaction management without traditional two-phase commits.

Yes, the event-driven architecture guidance supports message brokers including Kafka, RabbitMQ, NATS, and SQS-like systems. It provides specific message broker guidance to ensure reliable messaging across your chosen platform for cloud workloads and microservices.

The best way to handle temporal queries and audits is by using projections, snapshots, and an append-only event log. This approach allows you to replay state changes over time, providing accurate historical data for analytics and compliance audits.

Build a sample order processing system by applying production-grade patterns including append-only event stores, versioned schemas, projections, and saga-based coordination. This ensures reliable messaging and scalable event-driven processing for your order workflows.