System and method for intelligent automatic resolution of inactive computer code in a multi cloud environment

A computer program product for intelligent automatic resolution of inactive computer code in a multi cloud environment, the computer program product comprising a non-transitory computer-readable medium comprising code causing an apparatus to perform the steps of:

• accessing cloud data within a cloud computing environment, the cloud data comprising log files, memory dumps, and real-time status queries;
• processing the cloud data using an artificial intelligence (“AI”) analyzer, wherein processing the cloud data comprises identifying one or more instances of inactive code by parsing the cloud data and perform feature extraction to the cloud data to identify numerical features, wherein the AI analyzer uses a deep convolutional neural network trained to correlate container orchestration metrics, dependency analysis data, and runtime code coverage data from the numerical features to identify the one or more instances of inactive code;
• computing a confidence level for each of the one or more instances of inactive code;
• determining whether the confidence level exceeds a defined threshold;
• and
• based on determining whether the confidence level exceeds the defined threshold, executing one or more remediation processes for each of the one or more instances of inactive code, where the one or more remediation processes further comprises:
• generating, using the AI analyzer, replacement code by automatically building a new code set modified from code within a live production environment of the cloud computing environment, wherein the replacement code removes the one or more instances of inactive code from the cloud computing environment;
• testing the replacement code within a virtualized testing environment;
• and
• based on testing the replacement code within the testing environment, deploying the replacement code into the cloud computing environment through a container orchestrator of the cloud computing environment.

A computer-implemented method for intelligent automatic resolution of inactive computer code in a multi cloud environment, the computer-implemented method comprising:

• accessing cloud data within a cloud computing environment, the cloud data comprising log files, memory dumps, and real-time status queries;
• processing the cloud data using an artificial intelligence (“AI”) analyzer, wherein processing the cloud data comprises identifying one or more instances of inactive code by parsing the cloud data and perform feature extraction to the cloud data to identify numerical features, wherein the AI analyzer uses a deep convolutional neural network trained to correlate container orchestration metrics, dependency analysis data, and runtime code coverage data from the numerical features to identify the one or more instances of inactive code;
• computing a confidence level for each of the one or more instances of inactive code;
• determining whether the confidence level exceeds a defined threshold;
• and
• based on determining whether the confidence level exceeds the defined threshold, executing one or more remediation processes for each of the one or more instances of inactive code, where the one or more remediation processes further comprises:
• generating, using the AI analyzer, replacement code by automatically building a new code set modified from code within a live production environment of the cloud computing environment, wherein the replacement code removes the one or more instances of inactive code from the cloud computing environment;
• testing the replacement code within a virtualized testing environment;
• and
• based on testing the replacement code within the testing environment, deploying the replacement code into the cloud computing environment through a container orchestrator of the cloud computing environment.