Automatically correlating phenomena detected in machine generated data to a tracked information technology change

A system, comprising:

• one or more processors configured to:
• train a machine learning model based on previously identified valid matches between different phenomena detected in different machine-generated data and corresponding different root cause information technology changes;
• receive via an information technology service management system, a specification of an information technology change detected in the information technology service management system;
• analyze the specification of the information technology change to determine features of the information technology change;
• track the information technology change in a data structure of tracked information technology changes and their features;
• analyze machine-generated computer log data to identify an identified change in the machine-generated computer log data;
• provide to the trained machine learning model the features of the information technology change and features of the identified change in the machine-generated computer log data;
• and
• identify a match between the information technology change tracked in the data structure among other information technology changes tracked in the data structure and the identified change in the machine-generated computer log data based on a result of the trained machine learning model;
• and
• a memory coupled to at least one of the one or more processors and configured to provide the at least one of the one or more processors with instructions.

A computer program product, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:

• training a machine learning model based on previously identified valid matches between different phenomena detected in different machine-generated data and corresponding different root cause information technology changes;
• receiving via an information technology service management system, a specification of an information technology change detected in the information technology service management system;
• analyzing the specification of the information technology change to determine features of the information technology change;
• tracking the information technology change in a data structure of tracked information technology changes and their features;
• analyzing machine-generated computer log data to identify a change detected in the machine-generated computer log data;
• providing to the trained machine learning model the features of the information technology change and features of the identified change in the machine-generated computer log data;
• and
• identifying a match between the information technology change tracked in the data structure among other information technology changes tracked in the data structure and the identified change in the machine-generated computer log data based on a result of the trained machine learning model.