How do microservices communicate and coordinate in a choreographic Saga?
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what is saga in microservices Informational
- 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?
- Is it possible to achieve atomicity across multiple microservices using the Saga pattern?
- What information should be logged at each step of a Saga?
- How do you notify interested parties about the final outcome of a Saga?
- What are some strategies for data migration in a Saga? How does the Saga pattern handle the need for auditing the execution of compensating transactions?
- How do you prevent data corruption due to concurrent Saga executions? How does the Saga pattern integrate with different messaging technologies, such as Kafka, RabbitMQ, or message brokers?
- What is a compensating transaction, and how does it work?
- What are some challenges of partial Saga rollback? How does the Saga pattern handle the need for integrating with testing frameworks and methodologies to enable comprehensive and automated testing of distributed transactions, including unit tests, integration tests, and end-to-end tests?
- What are some best practices for log aggregation and correlation in a microservices architecture?
- Are there any specific considerations for implementing Sagas in a containerized environment like Docker and Kubernetes? How does the Saga pattern interact with other microservices design patterns, such as CQRS or Event Sourcing?
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