As the system is decomposed to granular services, failure of a service will not impact other parts of the system. This is important for a large, business-critical application. For instance, if a service logging events of the system fails, it will not impact the functioning of the whole system.

The decomposed nature of the services also helps fault isolation and troubleshooting. With proper health monitoring systems in place, a failure of a Microservice can be easily identified and rectified without causing downtime to the rest of the application. This also applies to application upgrades. If a newer version of a service is not stable, it can be rolled back to an older version with minimal impact to the overall system. Advanced Microservice hosting platforms such as Service Fabric also come with features such as predictive healing, which uses machine learning to foresee failures and takes preventive measures to avoid service downtime.