Intelligent cloud engineering platform

A non-transitory computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that, when executed by one or more processors, cause the one or more processors to:
• receive application information associated with a monolithic application;
• generate a recommendation based on utilizing an artificial intelligence technique:
• the recommendation relating to:
• a service to be generated that is identified by the artificial intelligence technique,
• a service category, for the service, that is identified by the artificial intelligence technique from among a plurality of service categories,
• the plurality of service categories including a first category that indicates the monolithic application need not be altered to implement the service and a second category that indicates the service needs to be created, and
• a deployment model, for the service, that is identified by the artificial intelligence technique from among a plurality of deployment models that may be used for the service,
• the artificial intelligence technique generating the recommendation based on the application information;
• automatically generate code for the service based on the service category and the application information,
• where the one or more instructions that cause the one or more processors to automatically generate the code, further cause the one or more processors to:
• determine that the service cannot be generated from the monolithic application based on the service category being identified as the second category that indicates the service needs to be created;
• and
• automatically generate the code, without reference to the monolithic application, using reusable templates or scenario outlines, and based on determining that the service category is the second category that indicates the service needs to be created;
• receive a request to deploy the generated code for the service via the deployment model;
• and
• deploy the generated code, based on the request, to provide the service via the deployment model.

A method, comprising:

• receiving, by a device, application information associated with a monolithic application;
• generating, by the device, a recommendation based on utilizing an artificial intelligence technique:
• the recommendation relating to:
• a service to be generated that is identified by the artificial intelligence technique,
• a service category, for the service, that is identified by the artificial intelligence technique from among a plurality of service categories,
• the plurality of service categories including a first category that indicates the monolithic application need not be altered to implement the service and a second category that indicates the service needs to be created, and
• a deployment model, for the service, that is identified by the artificial intelligence technique from among a plurality of deployment models that may be used for the service,
• the artificial intelligence technique generating the recommendation based on the application information;
• automatically generating, by the device, code for the service based on the service category and the application information,
• where automatically generating the code includes:
• determining that the service cannot be generated from the monolithic application based on the service category being identified as the second category that indicates the service needs to be created;
• and
• automatically generating the code, without reference to the monolithic application, using reusable templates or scenario outlines, and based on determining that the service category is the second category that indicates the service needs to be created;
• receiving, by the device, a request to deploy the generated code for the service via the deployment model;
• and
• deploying, by the device and based on the request, the generated code to provide the service via the deployment model.