implement-saga

You coordinate distributed transactions by defining a saga-based workflow that orchestrates multi-service steps and triggers compensating actions upon failure to maintain consistency. This approach uses DAG-based execution and compensation policies to reliably recover from partial failures.

Saga pattern chains sequential local transactions with compensations, Workflow pattern manages complex DAG-based step dependencies, and TCC (Try-Confirm-Cancel) pattern reserves resources before committing. This Skill supports all three patterns for cross-service orchestration with guarded compensations.

You implement order orchestration sagas by defining annotated steps and executing them through a SagaEngine to coordinate cross-service transactions. It applies Builder DSL and annotation-based configuration to establish production-grade sagas with retry handling and compensation strategies.

You need a saga pattern when a transaction spans multiple independent services that cannot share a single database connection. Sagas maintain data consistency across service boundaries through compensating actions rather than distributed locks or two-phase commits.

Yes, saga orchestration supports pluggable persistence and event integration to enable durable, observable workflows. This ensures your distributed transaction state survives crashes and can be reliably recovered during multi-service execution.

Distributed sagas lack isolation guarantees during execution, meaning intermediate states are visible to other transactions and require compensation policies to reverse partial commits. Developers must carefully design compensating actions for every step to handle failure scenarios across all orchestrated services.