How do you prevent deadlocks when using distributed locks in a Saga? How does the Saga pattern handle the need for data enrichment or transformation as data flows between microservices in a Saga?
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what is saga in microservices Informational
- How do you decide whether to retry a failed step, compensate, or escalate the error? How does the Saga pattern support different levels of logging and monitoring for distributed transactions?
- What are some best practices for managing distributed configurations? How does the Saga pattern handle the need for supporting different approaches to handling the deployment and management of Saga definitions or workflow specifications, especially in environments with frequent updates and deployments?
- What are the considerations for choosing a communication protocol?
- What metrics and logs are important for monitoring Sagas?
- How do you deal with read-after-write inconsistencies?
- What are the pros and cons of these different approaches?
- Is it possible to achieve atomicity across multiple microservices using the Saga pattern?
- What are some considerations for using feature flags with Sagas? How does the Saga pattern handle the need for supporting different approaches to handling long-running background tasks or asynchronous operations within a Saga, without blocking the main Saga flow?
- What are some common pitfalls to avoid when using the Saga pattern? How do you test Sagas effectively, given their distributed nature and potential for failures?
- What are the trade-offs between the Saga pattern and other distributed transaction patterns? How does the Saga pattern handle the initial creation and coordination of a distributed transaction?
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