Automated application reliability management using adaptable machine learning models

A system comprising:

• a management node connected to one or more cloud service platforms via a network, wherein the management node comprises an adaptive site reliability automation unit residing in memory and executable by a processor to:
• identify cloud components of an application deployed in a cloud service platform;
• determine relationships between the cloud components of the application and between the cloud components and other applications to generate a plurality of sub-assemblies;
• determine dependencies among the plurality of sub-assemblies to generate a super-assembly;
• generate infrastructure as code for application cloud components of the super-assembly and the plurality of sub-assemblies using metadata of the application cloud components;
• and
• perform a management operation to create a cloud infrastructure of the application using the generated infrastructure as code and verifying the reliability of the created application using an adaptable machine learning model.

A non-transitory machine-readable medium storing instructions executable by a processing resource to:

• identify cloud components of an application deployed in a cloud service platform;
• determine relationships between the cloud components of the application and between the cloud components and other applications to generate a plurality of sub-assemblies;
• determine dependencies among the plurality of sub-assemblies to generate a super-assembly;
• generate infrastructure as code for application cloud components of the super-assembly and the plurality of sub-assemblies using metadata of the application cloud components;
• and
• perform a management operation to create a cloud infrastructure of the application using the generated infrastructure as code and verifying the reliability of the created application using an adaptable machine learning model.