saga-orchestration

Manage distributed transactions across microservices by implementing saga patterns that coordinate multi-step business processes and execute compensating transactions to roll back failures. This Skill defines steps and tracks states to maintain data consistency across services.

Orchestration uses a central orchestrator to manage the saga, while choreography relies on event-driven communication across microservices. This Skill supports both styles for distributed transaction management, allowing you to define steps and manage state transitions for either approach.

Handle rollback in a microservices workflow by executing compensating transactions that undo previously completed steps when a failure occurs. This Skill tracks saga states like Compensating and Failed to automate the reversal process and ensure data consistency.

Track long-running business processes by managing the lifecycle of sagas through states like Started, Pending, Compensating, Completed, and Failed. This Skill uses Python dataclasses and abstract base classes to define logic and handle state transitions for distributed transactions.

Yes, you can use Python dataclasses and abstract base classes to implement saga patterns for distributed transactions. This Skill utilizes them to define saga logic, manage state transitions, and structure compensating transactions for microservices coordination.

Use a saga for microservices workflow coordination when a complex, multi-step business process spans multiple services and requires data consistency during failures. This Skill automates processes like order fulfillment, handling inventory, payment, and shipment with built-in rollback mechanisms.