Hardware and software configuration management and deployment

A configuration solution service management method comprising:

• ingesting, by a processor of a hardware device from managed hardware and software service components associated with a first entity, data and associated metadata associated with establishing baseline analysis code;
• analyzing, by said processor, said data and associated metadata via execution of code associated with a recurrent neural network (RNN) and long short-term memory (LSTM) configured to determine if a current managed hardware or software solution service design is associated with client requirements and industry trends;
• first generating, by said processor based on results of said analyzing, recommendations, statistical analysis, and predictions associated with implemented managed solution services with respect to said managed hardware and software service components;
• second generating, by said processor, a proposed new client profile configured to predict future managed solution service offerings associated with additional managed hardware and software service components for said first entity, a sizing of said additional managed hardware and software service components, and current trends within an industry and geography associated with said first entity;
• and
• configuring, by said processor based on said proposed new client profile, said additional managed hardware and software service components with respect to operationally functionality for said first entity.

A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, said computer readable program code comprising an algorithm that when executed by a processor of a hardware device implements a configuration solution service management method, said method comprising:

• ingesting, by said processor from managed hardware and software service components associated with a first entity, data and associated metadata associated with establishing baseline analysis code;
• analyzing, by said processor, said data and associated metadata via execution of code associated with a recurrent neural network (RNN) and long short-term memory (LSTM) configured to determine if a current managed hardware or software solution service design is associated with client requirements and industry trends;
• first generating, by said processor based on results of said analyzing, recommendations, statistical analysis, and predictions associated with implemented managed solution services with respect to said managed hardware and software service components;
• second generating, by said processor, a proposed new client profile configured to predict future managed solution service offerings associated with additional managed hardware and software service components for said first entity, a sizing of said additional managed hardware and software service components, and current trends within an industry and geography associated with said first entity;
• and
• configuring, by said processor based on said proposed new client profile, said additional managed hardware and software service components with respect to operationally functionality for said first entity.