Saga Client Server
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Saga Client Server
When designing a client-server saga, there are two primary ways to coordinate the flow: 1. Choreography (Event-Driven)
| Advantages | Disadvantages | |------------|----------------| | No distributed locks | Complexity in compensation design | | Scalable across services | No isolation (phantom reads possible) | | Works with heterogeneous databases | Requires idempotency & retry logic | | Tolerates long-running transactions | Orchestrator can become central bottleneck | saga client server
Expose metrics: SAGA duration, step failures, compensation rate, active SAGAs. When designing a client-server saga, there are two
Orchestrator must persist SAGA state (e.g., in database) to survive crashes. When designing a client-server saga
When designing a client-server saga, there are two primary ways to coordinate the flow: 1. Choreography (Event-Driven)
| Advantages | Disadvantages | |------------|----------------| | No distributed locks | Complexity in compensation design | | Scalable across services | No isolation (phantom reads possible) | | Works with heterogeneous databases | Requires idempotency & retry logic | | Tolerates long-running transactions | Orchestrator can become central bottleneck |
Expose metrics: SAGA duration, step failures, compensation rate, active SAGAs.
Orchestrator must persist SAGA state (e.g., in database) to survive crashes.
