The Saga pattern is a solution to long-lived transactions that is based on eventual consistency and compensating transactions. It was first discussed in a paper by Hector Garcia-Molina and Kenneth Salem (https://www.cs.cornell.edu/andru/cs711/2002fa/reading/sagas.pdf). Each step in a long-lived transaction is atomic. When a downstream step fails, it produces a violation event. The upstream services react to the violation event by performing a compensating action. In this recipe, we will create a service that submits data for downstream processing. The service also listens for a violation event and takes corrective action.
Implementing a Saga
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