
How do you prevent deadlocks or starvation in a distributed locking scenario within a Saga?
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what is saga in microservices Informational
- How do you prevent data inconsistencies if one of these operations fails? How does the Saga pattern handle the need for dealing with the "last agent problem" in distributed transactions, where the outcome depends on the successful completion of the final step?
- Are there any specific patterns or techniques for maintaining read consistency in Sagas? How does the Saga pattern handle the need for integrating with API gateways or other entry points to a microservices architecture to manage the initiation and monitoring of distributed business transactions?
- What are some common message routing patterns?
- How do you design for reliability and resilience when implementing compensating transactions?
- Can a Saga be used to implement a single business capability that spans multiple microservices?
- What are the two main types or orchestration models of the Saga pattern? Describe the choreography-based Saga pattern.
- How do you define the state of a Saga and manage its lifecycle?
- How do you implement rate limiting for inter-service communication?
- How do you handle breaking changes in Saga message formats? How does the Saga pattern support different security models for inter-service communication, such as mutual TLS or token-based authentication?
- Can you provide an example of a compensating transaction in a real-world scenario? How do you ensure idempotency in Saga transactions?
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