Machine-learning-based techniques for predictive monitoring of a software application framework

A computer-implemented method for predictive monitoring of a software application framework, the computer-implemented method comprising:

• determining, based on one or more natural language data fields of a software monitoring data object for the software application framework and using a natural language processing machine learning framework, a natural language feature data object for the software incident data object;
• determining, based on one or more structured data fields of the software monitoring data object and using a structured data processing machine learning model, a structured data feature data object for the software monitoring data object;
• determining, based on the natural language feature data object and the structured data feature data object and using a feature combination machine learning model, a monitoring data representation for the software monitoring data object;
• determining, based on the monitoring data representation and using a clustering machine learning model, one or more predicted monitoring data clusters for the software monitoring data object;
• determining, based on the one or more predicted monitoring data clusters, one or more incident signatures for the software application framework;
• performing one or more prediction-based actions based on the one or more incident signatures.

A computer program product for predictive monitoring of a software application framework, the computer program product comprising at least one non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions configured to:

• determine, based on one or more natural language data fields of a software monitoring data object for the software application framework and using a natural language processing machine learning framework, a natural language feature data object for the software incident data object;
• determine, based on one or more structured data fields of the software monitoring data object and using a structured data processing machine learning model, a structured data feature data object for the software monitoring data object;
• determine, based on the natural language feature data object and the structured data feature data object and using a feature combination machine learning model, a monitoring data representation for the software monitoring data object;
• determine, based on the monitoring data representation and using a clustering machine learning model, one or more predicted monitoring data clusters for the software monitoring data object;
• determine, based on the one or more predicted monitoring data clusters, one or more incident signatures for the software application framework;
• perform one or more prediction-based actions based on the one or more incident signatures.