What are the pros and cons of these different approaches?
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what is saga in microservices Informational
- What are some auto-scaling strategies for microservices? How does the Saga pattern handle the need for supporting different approaches to handling data migration or schema changes in microservices that participate in long-running Sagas, ensuring that in-flight transactions are not disrupted?
- How do you handle message delivery failures? How does the Saga pattern handle the need for integrating with serverless computing platforms or function-as-a-service (FaaS) environments where the execution of individual Saga steps might be implemented as stateless functions?
- How do you handle breaking changes in Saga message formats? How does the Saga pattern support different security models for inter-service communication, such as mutual TLS or token-based authentication?
- What are some strategies for preventing infinite retry loops?
- How do you ensure that Sagas continue to function correctly during and after deployments? How does the Saga pattern contribute to the overall resilience and fault tolerance of a microservices architecture?
- How do you ensure consistent data validation rules across services? How does the Saga pattern handle the need for integrating with security auditing systems to track and log all security-related events that occur within the context of a distributed transaction?
- What are some techniques for injecting faults into a distributed system for testing Sagas?
- 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?
- Why is idempotency important when dealing with distributed systems and Saga compensations?
- What are some deployment strategies for Sagas? How does the Saga pattern handle the need for integrating with data governance and lineage tracking systems to provide visibility into the flow of data across microservices within a distributed transaction and ensure compliance with data policies?
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