workflow-orchestration-patterns

Implement a saga pattern by orchestrating distributed transactions through Temporal workflows, defining compensation logic for each activity step to ensure data consistency across microservices on failure. This approach reliably reverses partial process failures.

Workflows manage deterministic state and orchestration logic, while activities handle non-deterministic operations like external API calls. Separating them ensures durable execution and maintains workflow determinism constraints across distributed systems.

Build fault-tolerant long-running processes using Temporal durable workflows with retry policies and idempotency. This design ensures processes execute reliably for days or years, automatically recovering state and resuming execution after failures.

Yes, you can use fan-out fan-in execution patterns to run multiple tasks concurrently across distributed systems. This approach efficiently aggregates parallel activity results back into a single orchestrating workflow for processing.

Handle workflow versioning by isolating non-deterministic code within activities and applying versioning strategies to workflow logic. Maintaining strict determinism constraints prevents state replay errors during Temporal workflow recovery and updates.

Model long-lived entities like user accounts or orders as independent entity workflows when you need durable state management. This pattern encapsulates entity behavior and state, ensuring consistent long-term operations within distributed systems.