How do you ensure that a Saga eventually terminates, even if some steps fail? How does the Saga pattern support different levels of isolation between concurrent Sagas operating on the same data?
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what is saga in microservices Informational
- What are some strategies for generating and managing correlation IDs? How does the Saga pattern support different patterns for handling outbox messages or ensuring reliable event publishing after a local transaction?
- What are some considerations for choosing a messaging infrastructure for implementing Sagas?
- What are some challenges of managing complex compensation logic? How does the Saga pattern support different ways of handling the case where a Saga involves external systems or services that do not provide transactional guarantees or compensation mechanisms?
- When might you consider using a database with built-in distributed transaction support in a microservices architecture?
- What are some considerations for ensuring that a Saga's final state is recorded reliably? How does the Saga pattern handle the need for managing the lifecycle of compensating transactions themselves (e.g., retries, monitoring, failure handling)?
- 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 is the transactional outbox pattern, and how does it work?
- What are the limits of the fault tolerance provided by the Saga pattern? How does the Saga pattern impact the development process and the responsibilities of development teams working on different microservices?
- 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 are some key indicators of problems in a Saga?
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