A practical guide to the Saga pattern for managing distributed transactions in microservice architectures. Walks through the common failure modes (optimistic REST chaining, over-engineered generic frameworks), then builds a proper state-machine-based Saga step by step: defining saga state enums, identifying the Pivot Point (the point of no return), implementing compensating transactions for pre-pivot failures and retries for post-pivot failures, and using semantic locking to handle lost isolation. Covers orchestration vs. choreography trade-offs (favoring orchestration for observability), explains why teams skip Sagas until data corruption forces the issue, and closes with actionable steps including using proven tools like AWS Step Functions or Temporal rather than rolling your own framework.
Table of contents
The Distributed Transaction Lies We Tell OurselvesPhase 1: The Optimistic Approach (and Why It Fails)Phase 2: The Over-Engineered Framework TrapBuilding a Proper State-Machine-Based SagaOrchestration vs. Choreography: A Practical ViewWhy Teams Skip Sagas Until It’s Too LateActionable Steps to Implement Sagas Correctly29K Impressions2 Comments