workflow-orchestration-patterns

The saga pattern for microservices is implemented by defining compensation logic for each workflow step, allowing Temporal to automatically execute rollbacks if a subsequent activity fails. This ensures distributed transaction atomicity without two-phase commits.

State management in Temporal workflows requires strict determinism constraints, meaning workflow code must not perform direct I/O or rely on mutable global state. Durable execution guarantees that state is persisted, allowing workflows to resume exactly where they left off after failures.

Fan-out fan-in execution for concurrent task processing is orchestrated by dispatching multiple asynchronous activities from a single workflow and awaiting their completion. This pattern allows distributed systems to process parallel tasks efficiently before aggregating the final results.

Separating workflow vs activity logic involves isolating deterministic orchestration logic inside workflows, while placing non-deterministic operations like API calls and database interactions inside activities. This separation ensures durable execution and reliable state management.

Durable workflows for microservice orchestration are needed when coordinating long-running processes like e-commerce order fulfillment. They survive infrastructure failures and resume automatically, ensuring state consistency across distributed systems without manual intervention.

Entity workflows model long-lived entities with persistent state by providing a durable execution layer for state management in distributed systems. This approach allows you to safely update and query entity state over extended periods without losing data consistency.