saga-orchestration

You manage distributed transactions by implementing the saga pattern, which coordinates multi-step business processes across microservices. This approach tracks the saga lifecycle and uses compensating transactions to gracefully roll back operations if a step fails.

Saga orchestration uses a central coordinator to manage cross-aggregate workflows, while choreography relies on services reacting to events. This Skill supports both patterns for coordinating long-running workflows and handling state transitions.

You implement compensating transactions by defining rollback logic within Python classes for each saga step. When a failure occurs, the saga enters a compensating state and executes these defined actions to undo previous operations.

Yes, saga patterns are ideal for long-running order fulfillment processes. You can coordinate multi-step workflows like inventory reservation, payment processing, and shipping, with built-in compensation logic to handle failures.

Yes, you need to define saga steps, actions, and compensation logic within Python classes. This structure allows the system to track states like pending, started, and completed while executing distributed transactions.