Dynamic tuning of computing devices using application log data
Abstract:
A system includes a memory and at least one processor in communication with the memory. A processor is configured to receive a first log message denoting an event associated with a first application executing in the system. A machine learning model generates a predicted log message based at least in part on the first log message. The predicted log message represents a prediction of a subsequent log message to be received from the first application. First metric data associated with the predicted log message is determined. The first metric data describes system conditions of the system associated with the predicted log message. A tuning profile associated with the system conditions is determined and the current system configuration of the system is modified using the tuning profile.
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