Persistent applications will experience variable demands and workloads, and Cloud resources may mitigate performance problems by allowing the necessary resources to be temporarily rented as needed. Cloud deployment decisions must consider not only the best suited providers but also the possibility to use beneficially hardware accelerators like GPUs and FPGAs should these be useful for the application and improve its performance. Since additional application resources may be needed at any time in response to the changed workload, or as a function of the data processed by the application, automated application management is desirable. This talk will cover the versatile MORPHEMIC platform capable of managing and optimizing the application over its lifetime using forecasting to predict and anticipate changes in the execution environment and proactively provide the Cloud resources timely to the application. Additionally, MORPHEMIC can deploy polymorphic application components to the hardware resources best apt for the application tasks at hand. Examples from real world applications will be given to show the benefits of the approach.