event-sourcing-architect

To design an event-sourced system, define domain aggregates, identify immutable event streams, and bootstrap read models using CQRS to separate command execution from query projections. This establishes complete auditability and scalable domain logic.

Handling event versioning requires applying schema evolution techniques to immutable event streams. This ensures long-lived systems can adapt to structural changes while maintaining reliable recovery and accurate temporal queries across historical data.

Snapshotting is needed for long-lived event-sourced systems when rebuilding aggregate state from immutable event streams becomes too slow. It periodically saves the current state to optimize recovery performance without losing historical audit trails.

Sagas and process managers orchestrate complex cross-aggregate workflows in event-sourced architectures by coordinating commands across services. They handle eventual consistency and ensure reliable domain logic execution across distributed system boundaries.

Event sourcing works effectively with domain-driven design by persisting state as a sequence of immutable events within aggregate boundaries. This approach provides complete auditability, supports time-travel debugging, and enables temporal queries for critical domains.

Optimizing read models in a CQRS architecture involves building dedicated projections from immutable event streams. This separates query execution from command processing, enabling efficient temporal queries and scalable retrieval without impacting domain logic.