Is it possible to achieve atomicity across multiple microservices using the Saga pattern?
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what is saga in microservices Informational
- What are some benefits of using an outbox pattern with Sagas? How does the Saga pattern handle the need for polling or other mechanisms to check the status of long-running operations in participating microservices?
- 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?
- What is the appropriate compensation strategy in such cases? How does the Saga pattern support different ways of handling the case where a Saga instance becomes orphaned or its state is lost due to failures?
- How do you ensure that the system returns to a consistent state after a partial failure?
- What types of chaos experiments can be performed on Sagas?
- What are the advantages and disadvantages of using a choreography-based Saga? Explain the orchestration-based Saga pattern.
- How do you attribute costs to individual Saga instances?
- How do you handle the case where a compensation cannot be completed successfully? How does the Saga pattern support different ways of handling the initiation of compensating transactions, such as through events or direct invocation?
- Are there any IDE plugins or extensions for working with Sagas? How does the Saga pattern handle the need for supporting different approaches to handling the recovery of a Saga instance after a catastrophic failure or system outage, ensuring that in-progress transactions can be resumed or compensated correctly?
- What happens if the orchestrator crashes or restarts in the middle of a Saga execution?
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