Understanding Distributed Transactions What is the fundamental problem that the Saga pattern aims to solve in a microservices architecture?
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what is saga in microservices Informational
- What are the trade-offs involved? How does the Saga pattern handle the need for supporting different approaches to handling the coordination and management of distributed locks or other forms of concurrency control that might be required by the individual steps of a Saga?
- What is the role of the orchestrator in an orchestrator-based Saga?
- How can these logs be used for troubleshooting Sagas? How does the Saga pattern handle the need for supporting different levels of service discovery and registration for microservices participating in a Saga?
- How do you automate the testing of Saga compensations? How does the Saga pattern support different ways of handling data versioning in the context of a long-running Saga where the schemas of participating microservices might evolve?
- What are some strategies for managing data dependencies between microservices involved in a Saga?
- How do you design for reliability and resilience when implementing compensating transactions?
- How do you implement branching or conditional execution in a Saga?
- How do you ensure that new versions of a Saga are compatible with older versions of participating microservices? How does the Saga pattern support different deployment strategies for microservices, such as blue/green deployments or canary releases?
- How do you ensure that the Saga orchestrator does not become a bottleneck?
- 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)?
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