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Data Pipelinescomplex complexity
Event-Driven Architecture
Event-driven system architecture with message queues, event sourcing, CQRS, and sagas for complex workflows.
Architecture
System Components
Key building blocks of this architecture, layered from infrastructure up
01
Event Bus
Central event routing with guaranteed delivery - see the event-driven systems playbook.
KafkaRabbitMQRedis Streams
02
Event Store
Immutable event log with replay capability.
EventStorePostgreSQLCustom
03
Command Handlers
Process commands and emit domain events.
CQRSDomain EventsValidation
04
Projections
Read models built from event streams.
Materialized ViewsCachingSearch
05
Sagas
Long-running business processes across services.
OrchestrationCompensationState Machine
Planning
Key Considerations
Important factors to keep in mind when implementing this architecture
Event schema evolution requires careful versioning strategy
Eventual consistency affects UX - design for it explicitly
Implement idempotency for reliable event processing
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Options
Alternatives to Consider
Other approaches that might fit your specific needs
Simple request/response for lower complexity needs
Temporal for managed workflow orchestration
Inngest for serverless event-driven functions
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