How do you decide whether to retry a failed step, compensate, or escalate the error? How does the Saga pattern support different levels of logging and monitoring for distributed transactions?
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what is saga in microservices Informational
- Can a Saga be rolled back in the same way as a traditional database transaction?
- 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?
- Is the Saga pattern always the best solution for distributed transactions in microservices? What are some alternative patterns or approaches to managing distributed transactions in microservices besides the Saga pattern?
- What are some best practices for designing evolvable message schemas?
- 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?
- Are there any environment-specific considerations for Sagas? How does the Saga pattern handle the need for integrating with identity and access management (IAM) systems to ensure proper authorization for all steps within a distributed transaction?
- How does Event Sourcing complement the Saga pattern?
- Where should data masking logic be applied? How does the Saga pattern handle the need for integrating with cost monitoring and management tools to track the resource consumption and costs associated with running distributed transactions across multiple microservices?
- What are some best practices for versioning Sagas?
- What are the trade-offs between the Saga pattern and other distributed transaction patterns? How does the Saga pattern handle the initial creation and coordination of a distributed transaction?
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