Saga Pattern for Distributed Transactions
summary
Explains that a Saga is a sequence of local transactions with explicit compensating steps and demonstrates it on a four‑service stock trade where compensating transfers and audit rollbacks actually run, using a message broker for events. Compares choreography (event-driven peers, few services, harder testing, cyclic risk) versus orchestration (central controller, easier reasoning, single point of failure). Covers concrete failure paths, required compensating transactions, and the need for observability and state tracking.
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chapters (11)
- 0:00Saga Pattern intro
- 3:06ACID in monoliths
- 5:14Microservice transaction challenges
- 6:18Saga for distributed consistency
- 7:43Choreography vs orchestration
- 8:46Benefits and Drawbacks of Choreography
- 10:12Benefits and Drawbacks of Orchestration
- 11:15Choreography example
- 13:46Choreography complexity
- 14:07Orchestration example
- 15:50Saga pattern considerations
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