Machine learning microservice architecture design tools and methods

Abstract

According to some embodiments, a machine learning architecture design platform may access a microservice architecture design data store that contains existing microservice architecture designs, and a graphic abstraction computing component may automatically create existing graph models of the existing designs. A pattern recognition computing component may then execute a machine learning algorithm to access the existing graph models and automatically detect existing design patterns. A designer interface computing component may interactively and iteratively exchange information with a designer, including receipt of at least one design requirement from the designer. Based on the at least one received design requirement and the automatically detected existing design patterns, a dynamic recommendation computing component may automatically construct a recommended microservice architecture for the cloud computing environment. In some embodiments, a quality assessment computing component may evaluate a potential microservice architecture design.