What are some best practices for externalizing and managing Saga configurations?
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what is saga in microservices Informational
- How can you track key metrics related to Saga execution and success rates?
- What are some scalability strategies for Saga orchestrators? How does the Saga pattern handle the need for integrating with configuration management systems to centrally manage and distribute the configuration settings for all microservices involved in a distributed transaction?
- What are some common message routing patterns?
- How do you deal with read-after-write inconsistencies?
- How do you ensure that notifications are sent reliably and only once? How does the Saga pattern support different ways of modeling and defining business processes, such as using state machines or workflow engines?
- How do you decompose a business process into individual Saga steps? How does the Saga pattern handle the need for retries and exponential backoff in compensating transactions?
- How do you prevent dirty reads or non-repeatable reads in a distributed environment?
- How do you ensure idempotency in compensating transactions? How does the Saga pattern handle the need for integrating with distributed consensus algorithms (e.g., Raft, Paxos) to ensure the reliability and consistency of the Saga orchestrator's state in the face of failures?
- 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 retry mechanisms that can be employed in a Saga?
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