Abstract: Apparatuses, methods, systems, and program products are disclosed for analytics-based anomaly detection. An apparatus includes a processor and a memory that stores code executable by the processor. The code is executable by the processor to receive measurement data for a component of a device, determine a compression rate of the received measurement data by applying a compression algorithm to the measurement data, and generate an alert indicating a possible anomaly in an operation of the component represented by the measurement data in response to the determined compression rate satisfying a threshold compression rate for the at least one condition of the component.

Abstract: An apparatus for a license orchestrator to most efficiently distribute fee-based licenses includes a processor and a memory that stores code executable by the processor to determine that a workload is scheduled to be executed by a computing device. The computing device includes a licensable resource available for execution of the workload. The code is executable to compare a per-use licensing cost associated with using the licensable resource for execution of the workload with a cost of using existing capabilities of the computing device for execution of the workload and license and use the licensable resource for execution of the workload in response to determining that the per-use licensing cost of the licensable resource is less than using the existing capabilities of the computing device.

Abstract: Apparatuses, methods, systems, and program products are disclosed for analytics-based anomaly detection. An apparatus includes a processor and a memory that stores code executable by the processor. The code is executable by the processor to receive measurement data for a component of a device, determine a compression rate of the received measurement data by applying a compression algorithm to the measurement data, and generate an alert indicating a possible anomaly in an operation of the component represented by the measurement data in response to the determined compression rate satisfying a threshold compression rate for the at least one condition of the component.

Abstract: An apparatus for a license orchestrator to most efficiently distribute fee-based licenses includes a processor and a memory that stores code executable by the processor to determine that a workload is scheduled to be executed by a computing device. The computing device includes a licensable resource available for execution of the workload. The code is executable to compare a per-use licensing cost associated with using the licensable resource for execution of the workload with a cost of using existing capabilities of the computing device for execution of the workload and license and use the licensable resource for execution of the workload in response to determining that the per-use licensing cost of the licensable resource is less than using the existing capabilities of the computing device.

Abstract: A method for installing and using hardware specific plugins to a monitoring application includes installing, by use of a processor, a hardware specific plugin to a monitoring application that monitors health of a monitored computing system. The plugin corresponds to a hardware device of the monitored computing system monitored by the monitoring application. The plugin includes analytics rules corresponding to hardware parameters monitored within the hardware device and received by a server comprising the processor and running the monitoring application. The method includes receiving, by use of a processor, data corresponding to the hardware parameters of the hardware device, applying, by use of a processor, the analytics rules of the plugin to the received data of the monitored hardware parameters of the hardware device, and sending, by use of a processor, an alert in response to determining that the received data violates an analytics rule of the plugin.

Abstract: A method for installing and using hardware specific plugins to a monitoring application includes installing, by use of a processor, a hardware specific plugin to a monitoring application that monitors health of a monitored computing system. The plugin corresponds to a hardware device of the monitored computing system monitored by the monitoring application. The plugin includes analytics rules corresponding to hardware parameters monitored within the hardware device and received by a server comprising the processor and running the monitoring application. The method includes receiving, by use of a processor, data corresponding to the hardware parameters of the hardware device, applying, by use of a processor, the analytics rules of the plugin to the received data of the monitored hardware parameters of the hardware device, and sending, by use of a processor, an alert in response to determining that the received data violates an analytics rule of the plugin.