Ai-powered adaptable drift management system for computer servers

A computer program product for AI-powered adaptable drift management for computer servers, the computer program product comprising a non-transitory computer-readable medium comprising code causing an apparatus to:

• retrieve a server template of a server;
• extract template parameter values from the server template;
• extract hardware data, resource usage data, metrics data, and performance data for a current server configuration of the server;
• generate server parameter values from the extracted hardware data, the extracted resource usage data, the extracted metrics data, and the extracted performance data or via feature engineering of the extracted hardware data, the extracted resource usage data, the extracted metrics data, and the extracted performance data;
• convert the generated server parameter values into a formatted file;
• transmit the formatted file;
• receive an additional formatted file containing deviated parameter values;
• analyze server performance under combinations of the deviated parameter values and the template parameter values;
• identify a combination of server parameter values and deviated parameter values that optimizes server performance;
• adjust the server configuration using the identified combination of the server parameter values and the deviated parameter values that optimize server performance;
• update the server template with the identified combination of the server parameter values and the deviated parameter values that optimizes server performance;
• transmit the updated server template;
• and
• transmit a report of the updates to the server template.

A method for AI-powered adaptable drift management for computer servers, the method comprising:

• retrieving a server template of a server;
• extracting template parameter values from the server template;
• extracting hardware data, resource usage data, metrics data, and performance data for a current server configuration of the server;
• generating server parameter values from the extracted hardware data, the extracted resource usage data, the extracted metrics data, and the extracted performance data or via feature engineering of the extracted hardware data, the extracted resource usage data, the extracted metrics data, and the extracted performance data;
• converting the generated server parameter values into a formatted file;
• transmitting the formatted file;
• receiving an additional formatted file containing deviated parameter values;
• analyzing server performance under combinations of the deviated parameter values and the template parameter values;
• identifying a combination of server parameter values and deviated parameter values that optimizes server performance;
• adjusting the server configuration using the identified combination of the server parameter values and the deviated parameter values that optimize server performance;
• updating the server template with the identified combination of the server parameter values and the deviated parameter values that optimizes server performance;
• transmitting the updated server template;
• and
• transmitting a report of the updates to the server template.