Abstract: A computer-implemented method, system, and/or computer program product utilizes Automated Ticketing (AT) Analytics to create a recommendation file of routines and to automatically create a work ticket in response to a message. One or more processors identify messages related to a Logical Partition (LPAR) for automated ticketing. The messages identify an operational anomaly in the LPAR used by a computer system, and are based on sensor readings from hardware sensors and software programs within the computer system. The identified messages identify which messages are to be auto ticketed as a work ticket for the computer system. In response to updates to rules for automated ticketing being initiated, the processor(s) identify trends using an automated message analysis and an automation routine identification to automatically trigger a generation of the work ticket. The processors(s) automatically create and execute the work ticket to correct a new operational anomaly in the LPAR.

Abstract: A computer-implemented method, system, and/or computer program product utilizes Automated Ticketing (AT) Analytics to create a recommendation file of routines and to automatically create a work ticket in response to a message. One or more processors identify messages related to a Logical Partition (LPAR) for automated ticketing. The messages identify an operational anomaly in the LPAR used by a computer system, and are based on sensor readings from hardware sensors and software programs within the computer system. The identified messages identify which messages are to be auto ticketed as a work ticket for the computer system. In response to updates to rules for automated ticketing being initiated, the processor(s) identify trends using an automated message analysis and an automation routine identification to automatically trigger a generation of the work ticket. The processors(s) automatically create and execute the work ticket to correct a new operational anomaly in the LPAR.