cqrs-implementation

CQRS separates read and write models by routing commands to a write model and queries to a read model. This division improves query performance and maintainability by allowing each model to scale independently without co-mingling logic.

Event-sourcing stores state changes as a sequence of events in an event store. Read models are synchronized through event-driven projections, which process these events to build query-optimized views for real-time analytics and auditability.

You need CQRS and domain-driven design when your architecture requires strict command and query separation, clear domain boundaries, and scalable query performance across complex domains with high read and write workload imbalances.

Yes, command handlers enforce strict command and query separation by processing write operations exclusively. They validate commands, apply state changes to the write model, and emit events to the event store for subsequent projection.

CQRS introduces complexity by requiring separate read and write models, event store management, and projection synchronization. It is not suitable for simple domains where the operational overhead of maintaining event-driven projections outweighs scalability benefits.