saga-orchestration

Manage distributed transactions across microservices by implementing saga patterns for multi-step business processes. This approach handles cross-aggregate workflows and state management to ensure data consistency without two-phase commits.

Orchestration uses a centralized coordinator to manage saga steps, while choreography relies on event-driven communication where services react to events. Both patterns manage multi-step workflows and handle compensating transactions upon failure.

Handle rollback in a microservices transaction by executing compensating transactions when failures occur. The saga pattern defines specific compensation logic for each step, gracefully undoing previous actions to maintain data consistency.

Yes, you can use Python to orchestrate long-running business processes. This capability supports state management and event publishing to coordinate multi-step workflows like order fulfillment across distributed aggregates.

Automate order fulfillment by starting a saga workflow that reserves inventory, processes payments, and creates shipments. The saga orchestrates these sequential steps and triggers compensating transactions automatically if any stage fails.

Use a saga pattern when managing long-running business processes across multiple services where traditional distributed transactions are impractical. Sagas provide eventual consistency through compensating transactions rather than locking resources.