saga-orchestration

You manage distributed transactions by implementing saga patterns that coordinate multi-step business processes across microservices using Python. This handles cross-aggregate workflows with state tracking and compensating transactions to ensure data consistency.

Orchestration uses a central orchestrator to coordinate saga steps, while choreography relies on an event-driven approach. This Skill supports both patterns for managing distributed transactions, allowing you to choose based on your workflow complexity.

You roll back failed operations by defining and executing compensating transactions. When a failure occurs during a multi-step business process, the saga triggers these compensating actions to gracefully undo previous steps.

Yes, you track long-running workflows by managing saga lifecycles through states like started, pending, completed, and failed. This state management ensures visibility and control over distributed processes in microservices.

Yes, the saga pattern handles timeouts for cross-aggregate workflows. It includes timeout mechanisms within its state management to prevent long-running distributed transactions from hanging indefinitely during multi-step business processes.