workflow-orchestration-patterns

To design deterministic Temporal workflows, separate workflow logic from side effects by isolating external calls into activities. This separation ensures durable distributed executions remain reproducible during state replays.

The best way to handle microservice orchestration is using saga patterns within Temporal workflows. This approach manages distributed transactions by defining compensating activities to reverse failed operations safely.

Implement Fan-Out/Fan-In and async callback patterns by spawning child workflows or concurrent activities within a parent Temporal workflow, allowing long-running processes to scale efficiently and await external completions.

Temporal workflows fail determinism constraints when workflow code executes non-deterministic operations like generating random numbers or making direct API calls instead of delegating side effects to activities.

Yes, you can use Temporal for state management and versioning by applying patching APIs to introduce changes without breaking running executions, ensuring long-running processes remain resilient across code updates.

Common pitfalls include improper activity timeouts and unhandled exceptions. Robust retry strategies require configuring exponential backoff policies on activities to achieve resilient production-grade Temporal deployments.