Machine Learning-based Hardware Component Monitoring

An illustrative method includes identifying, based on an output of a machine learning model that receives data associated with an operation of a hardware component as an input, an anomaly in the data, determining that the anomaly is representative of an issue associated with the hardware component, and performing, based on the determining that the anomaly is representative of the issue associated with the hardware component, a remedial action that affects a performance of the operation of the hardware component.