Systems and methods for securely utilizing machine learning models to configure network cloud software code changes

A device, comprising:

• one or more processors configured to:
• receive, securely by a device, cloud service archives (CSARs), container images, and data source data for cloud software code;
• generate a repository based on the CSARs, a container image repository based on the container images, and a data lake based on the data source data;
• generate a deployment method of procedure as a prompt list for a change to the cloud software code and based on information stored in the repository, the container image repository, and the data lake;
• process the prompt list, with a machine learning model, to generate a generic artifact template;
• substitute operator specific variables in the generic artifact template to generate an operator specific artifact template;
• substitute site specific variables in the operator specific artifact template to generate a site specific artifact template;
• and
• provide the site specific artifact template to an orchestrator system for implementation of the change to the cloud software code,
• wherein the change to the cloud software code is implemented in a cloud
• computing environment that includes the cloud software code.

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

• one or more instructions that, when executed by one or more processors of a device, cause the device to:
• receive, securely by a device, cloud service archives (CSARs), container images, and data source data for cloud software code;
• generate a repository based on the CSARs, a container image repository based on the container images, and a data lake based on the data source data;
• generate a deployment method of procedure as a prompt list for a change to the cloud software code and based on information stored in the repository, the container image repository, and the data lake;
• process the prompt list, with a machine learning model, to generate a generic artifact template;
• substitute operator specific variables in the generic artifact template to generate an operator specific artifact template;
• substitute site specific variables in the operator specific artifact template to generate a site specific artifact template,
• wherein the site specific variables include variables associated with network addresses, namespaces, and deployment locations;
• and
• provide the site specific artifact template to an orchestrator system for implementation of
• the change to the cloud software code.