What are some common challenges encountered when implementing the Saga pattern? How do you handle failures and compensations in a Saga?
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what is saga in microservices Informational
- Under what circumstances might 2PC still be a viable option in a microservices architecture? How does the Saga pattern address the challenges of distributed data management in microservices?
- What are some design principles to avoid creating cyclic dependencies in a Saga?
- What are the pros and cons of these different approaches?
- What are the implications of relying on compensating transactions for rollback? How does the Saga pattern support monitoring and alerting of potential issues or failures in a distributed transaction?
- When might you consider using a consensus algorithm for Saga orchestration?
- How can you track the history of a Saga and the actions performed by each participating microservice?
- How do Sagas publish events to notify other microservices about their progress or completion? What are some security considerations when implementing the Saga pattern across multiple microservices?
- What information should be logged at each step of a Saga?
- How do you use the results of chaos engineering to improve Saga resilience? How does the Saga pattern handle the need for supporting different approaches to handling the coordination of Saga instances when multiple concurrent requests trigger the same business process, potentially leading to race conditions or data inconsistencies?
- How do you correlate logs and traces from different microservices within the same Saga instance? How does the Saga pattern support different ways of managing configuration for distributed transactions, such as timeouts, retry policies, or service endpoints?
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