Enterprise-class applications are slated to do many tasks in sequence or in parallel. Each task is performed by a microservice architecture that can comfortably run inside Docker containers. Some tasks may have to connect and collaborate with remote application services or third-party services. As stated previously, the remote connectivity is beset with a number of challenges because there are other components contributing to the remote connectivity and access. Now, complex applications are being simplified through process flows comprising control as well as data flows. That means an application has to orchestrate all the steps/services in order to ensure its capability for consumers. In the distributed computing arena, all services have to play their unique role and deliver value to their application. If anyone fails to transact, then the retry pattern can be leveraged. If that also fails to take off, then the entire operation has to be canceled.

The solution is to use the scheduler agent supervisor pattern that skillfully orchestrates all the right and relevant steps to finish the expected job. This orchestration software solution manages all the participating and contributing steps in a resilient and rewarding fashion in distributed work environments. The scheduler, which is the principal component of the scheduler agent supervisor, arranges for the steps that make up the task to be executed and orchestrates their operation. These steps can be combined into a pipeline or workflow. The scheduler is responsible for ensuring that the steps in this workflow are performed in the right order. The self-recovery of services is being termed as one of the paramount properties of new-generation software services.