Hewlett-packard Development Company, L.p.

Matheus Eichelberger

Roberto Argenta Coutinho

John Landry

Marcio Maraschin

Rafael Dal Zotto

Augusto Queiroz De Macedo

Maikel Maciel Ronnau

Franco Vieira E Souza

In an example implementation according to aspects of the present disclosure, a computing device and computer readable media to receive a temperature, operating speed, maximum operating speed, and utilization rate of a processor. A processor performance metric may be calculated based on the operating speed, maximum operating speed, and utilization rate. The processor performance metric and temperature may be used to retrieve a value in a thermal mapping. The value in the thermal mapping may be compared against a threshold to determine if a processor thermal metric event has occurred. An indication to the user may be presented in the event of a thermal metric event.

Processor thermal metric

An example of a non-transitory computer-readable medium storing machine-readable instructions. The instructions may cause the processor to receive a configuration file that identifies data sources coupled to the processor. The instructions may cause the processor to collect a data set from the data source based on data from the configuration file. The instructions may cause the processor to create a statistical analysis based on the data set and transmit the statistical analysis to a server.

Creating statistical analyses of data for transmission to servers

Examples described herein include examples of method for predicting battery performance of a battery comprising collecting battery data corresponding to a plurality of batteries with characteristics similar to the battery during a first time period, storing the collected battery data in a staging memory, generating a logarithmic regression based on the collected battery data, and predicting battery performance for the battery based on the logarithmic regression.

Battery performance prediction

A technique includes, for each storage drive of a plurality of storage drives, determining a metric associated with the storage drive based at least in part on a plurality of attributes associated with the storage drive; and determining a health of a given storage drive of the plurality of storage drives based at least in part on the metric associated with the given storage drive and the metric associated with at least one other storage drive of the plurality of storage drives.

Determining the health of a storage drive

In some examples, a computing device can determine a data state from telemetry data received from a plurality of client devices, determine a state change using the data state determined from the telemetry data, determine, using the state change, a potential cause of a fault of a component of a client device of the plurality of client devices, where the potential cause of the fault is determined in response to receiving a support inquiry from the client device, and display a timeline of state changes, where the timeline includes the determined state change of the client device.

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Porto Alegre, Brazil

Matheus Eichelberger