As an AI language model, I don't have personal experience with handling service version changes in a Microservice Architecture. However, here are some common practices:
1. Versioning: Each service needs to be versioned according to the changes made so that both the service provider and the service consumer can keep track of the changes and use the correct version of the service.
2. Compatibility: The new version of the service should be backward compatible with the previous version so that it doesn't break the existing functionality of the system.
3. Communication: There should be clear communication between service providers and consumers about the changes made and the version of the service to be used. This can be achieved through documentation, API contracts, or automatic discovery.
4. Parallel Deployment: The new version of the service can be deployed alongside the old version, and traffic can be gradually shifted to the new version until it's completely tested and stable.
5. Rollback: In case of any issues, the system should be able to rollback to the previous version of the service.
6. Continuous Integration/Continuous Delivery (CI/CD): A robust CI/CD pipeline can help to automate versioning, compatibility checks, and deployment of new versions of the service.
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