What are some strategies for preventing cascading failures due to repeated retries?
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what is saga in microservices Informational
- Are there any specific considerations for deploying Sagas in a multi-region or multi-cloud environment?
- How do you manage concurrency at the Saga level?
- Can you use a workflow engine to define such complex Saga flows? How does the Saga pattern handle the need for integrating with business intelligence (BI) or analytics systems to provide insights into the performance and outcomes of distributed business transactions?
- What are some strategies for preventing cascading failures due to repeated retries?
- What are the benefits of using a formal workflow definition for a Saga? How does the Saga pattern handle the need for correlation between different events or messages related to the same Saga instance?
- How do you ensure the integrity and confidentiality of messages exchanged between microservices in a Saga?
- How do you ensure that different versions of data can be processed correctly by different stages of the Saga?
- What are some considerations for choosing a messaging infrastructure for implementing Sagas?
- How do you deal with retries and timeouts in a Saga? How does the Saga pattern compare to other distributed transaction management approaches, such as two-phase commit (2PC)?
- How do you conduct A/B tests involving distributed transactions?
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