Cloud fitness engineering

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a cloud-computing system architecture. In some implementations, target performance criteria associated with an application executable at least in part on a cloud-computing system is obtained. Target process parameters related to processes associated with the execution of the application are generating using machine-learning models from the target performance criteria. Simulations of the execution of the application on respective ones of candidate computing systems are performed. Each candidate computing system includes a corresponding sequence of multiple architecture components at least a portion of which represents components of the clouding computing system. At least one of the candidate computing systems is selected that satisfies the target process parameters. Instructions are provided for deploying the selected computing system for execution of the application.