Why is idempotency important when dealing with distributed systems and Saga compensations?
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what is saga in microservices Informational
- How should Sagas be documented?
- How do you prevent race conditions in a distributed Saga? How does the Saga pattern fit into a larger event-driven architecture?
- What data points should be exposed for BI purposes? How does the Saga pattern handle the need for supporting different isolation levels for read operations that occur within the context of a running Saga?
- Can a Saga step involve complex computations or interactions with multiple external systems?
- What are some potential data anomalies that can occur in a Saga due to lack of strict isolation?
- What tools can be used for Saga observability? How does the Saga pattern handle the need for integrating with security scanning and vulnerability assessment tools to identify and address any security weaknesses in the implementation of distributed transactions across microservices?
- What are some different ways to trigger a Saga? How does the Saga pattern ensure that all necessary steps in a business transaction are eventually completed or compensated, even in the face of failures?
- How do you enforce compliance checks for Saga implementations? How does the Saga pattern handle the need for supporting different approaches to handling the termination or finalization of a Saga instance, including releasing any resources held by participating microservices and cleaning up any temporary state?
- What is the transactional outbox pattern, and how does it work?
- How do you monitor the resource utilization of Saga participants?
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