Abstract: Technology described herein relates to dynamic adjustment of power capping for one or more servers of a subset of servers. A method can comprise generating, by a system operatively coupled to a processor, for a first server subset of a server system, weighted average values comprising a first weighted average value of current workload priority at the first server subset, a second weighted average value of current performance efficiency of the first server subset, and a third weighted average value of predicted future power usage for the first server subset, ranking, by the system, the first server subset as compared to a second server subset of the server system that does not overlap servers with the first server subset, wherein the ranking is based on at least one of the weighted average values, and applying, by the system, a power cap to the first server subset based on the ranking.

Abstract: Described herein are methods and a system for reading and reporting of energy consumption data of managed hardware, such as devices in a data center, and scope 2 GHG emissions attributable to the use of the devices. Emission factors are captured which are associated with energy sources that provide energy to the data center and the devices. Energy consumption of the devices are read. The consumed energy of the devices is converted to GHG emissions and reported.

Abstract: Embodiments of systems and methods for adapting a log severity level that is applied to log files associated with a target application based on user interaction. In an illustrative, non-limiting embodiment, an adaptive log level control system includes computer-executable instructions for monitoring user interaction with a target application executed on the IHS, identifying a usage pattern of the user interaction, and determining that the usage pattern is indicative of a problem with the target application. The instructions may then adjust a log severity level of log files associated with the target application according to the detected problem.

Abstract: An information handling system may include at least one processor and a memory coupled to the at least one processor. The information handling system may be configured to: receive configuration data from a managed information handling system; receive compatibility data from a vendor of the managed information handling system; determine, based on the configuration data and the compatibility data, that the managed information handling system has drifted from a predetermined configuration; and based on the determination of drift, execute a responsive action with regard to the managed information handling system.

Abstract: A cooling-power-consumption-based workload allocation system includes a workload allocation system coupled to at least one client device and a plurality of server devices. The workload allocation system receives a first workload request that identifies a first workload from the at least one client device, and determines a first workload priority of the first workload relative to a second workload priority of each second workload being performed by the plurality of server devices. Based on the first workload priority of the first workload relative to the second workload priority of each second workload and a cooling-power-utilization-efficiency ranking of each of the plurality of server devices, the workload allocation system identifies a first server device included in the plurality of server devices for performing the first workload, and causes the first server device to perform the first workload.

Abstract: The described technology is generally directed towards a system and method to distribute available power to devices in a group. A group of devices, such as a rack of servers in a data center, can have a group power consumption limit, such as the limit of a power distribution unit that supplies power to the group. The group of devices can each report their individual power consumption to a manager, and the manager can combine the individual power consumptions. The manager can compare the combined power consumption of the group to the group power consumption limit to determine a power headroom. The manager can determine power consumption limits for the devices of the group based on the power headroom, the individual power consumptions, and device priority information.

Abstract: Software-defined fail-safe power draw control is provided for rack power distribution units (PDUs). A PDU power manager can be used to map devices to a PDU and its sockets. The PDU power manager can also identify the power rating of the PDU and its sockets. With this information, the PDU power manager can generate and apply priority-based and dynamic power caps to the devices connected to the PDU. In this way, the PDU power manager can ensure that the power ratings of the PDU and of each of its sockets are not exceeded while ensuring that power delivery is prioritized based on the workloads that the devices may experience.

Abstract: An apparatus comprises a processing device that is configured to maintain a list of a managed devices, to generate a seed value and to submit a login request to a first managed device. The processing device is configured to generate a value based at least in part on the seed value and to select a second managed device from the list based at least in part on the value. The processing device is further configured to receive a second factor authentication challenge from the first managed device and to obtain a device key encrypted passcode from the second managed device. The processing device is further configured to provide the device key encrypted passcode to the first managed device and to receive a successful authentication of the login request from the first managed device based at least in part on providing the device key encrypted passcode to the first managed device.

Abstract: A software-defined infrastructure can identify and remediate an airflow deficiency scenario on a rack device. A rack device manager can be configured to discover rack devices and create a representation of their physical locations. The rack device manager can also be configured to periodically retrieve airflow metrics of the rack devices to calculate an estimated airflow for each rack device. The rack device manager can use the estimated airflows and the airflow metrics to generate a rack device classifier for each rack device. Using these rack device classifiers, the rack device manager can detect when rack devices are experiencing airflow deficiencies and attempt to automatically remediate such deficiencies.

Abstract: An integrated infrastructure secure communication system includes at least one chassis, and a plurality of computing devices that are located in the at least one chassis and that are coupled to each other. A first computing device included in the plurality of computing device receives a communication from a first component in the first computing device, retrieves a vendor-based key, and encrypts the communication using the vendor-based key to provide a first-level encrypted communication. The first computing device also generates a first random key, encrypts the first-level encrypted communication with the first random key to provide a second-level encrypted communication, and transmits the second-level encrypted communication to a second computing device that is included in the plurality of computing devices.

Abstract: According to one embodiment, an Information Handling System (IHS) includes a host that is executed to manage deployment of a plurality of workspaces, and executable instructions to obtain an amount of energy consumed by one or more resources of the host, obtain workspace usage metrics of each of the workspaces, and determine, using the workspace usage metrics, a proportionate amount of energy used by each of the workspaces. The instructions can, using the determined proportionate amount of energy, determine an overall amount of energy used by each workspace by distributing the amount of energy used by each of the resources across each of the workspaces according to the proportionate amount of energy used by each of the workspaces.

Abstract: The described technology is generally directed towards reallocating power to devices in a group, such as a rack of servers in a datacenter, when no power headroom remains available. Respective devices, which are classified into respective classes corresponding to respective priority device class levels, have power distributed thereto. Upon determining that available power headroom for power capacity distribution among the group of devices has reached an available power capacity distribution lower limit (e.g., zero), reallocation is performed by increasing power capacity allocated to a first device of a higher priority level class, and decreasing power capacity allocated to a second device of a lower priority level class. For more classes, such as high, medium and low, the power can be decreased among the lower priority level classes by a defined ratio, e.g., two-to-one between the medium and low priority classes.

Abstract: The described technology is generally directed towards a system and method to distribute available power to devices in a group. A group of devices, such as a rack of servers in a data center, can have a group power consumption limit, such as the limit of a power distribution unit that supplies power to the group. The group of devices can each report their individual power consumption to a manager, and the manager can combine the individual power consumptions. The manager can compare the combined power consumption of the group to the group power consumption limit to determine a power headroom. The manager can determine power consumption limits for the devices of the group based on the power headroom, the individual power consumptions, and device priority information.

Abstract: A method for managing power in an information handling system (IHS) environment includes initiating, by a power management console, an end to an emergency power reduction protocol on the IHS environment, based on the end to the emergency power reduction protocol, selecting a device priority group, wherein: the device priority group comprises a plurality of IHS devices, and the device priority group is selected based on a priority of the device priority group, obtaining a power usage estimation for the device priority group, and applying a power limit to the device priority group based on available power to the IHS environment and the power usage estimation.

Abstract: An apparatus comprises a processing device that is configured to maintain a list of a managed devices, to generate a seed value and to submit a login request to a first managed device. The processing device is configured to generate a value based at least in part on the seed value and to select a second managed device from the list based at least in part on the value. The processing device is further configured to receive a second factor authentication challenge from the first managed device and to obtain a device key encrypted passcode from the second managed device. The processing device is further configured to provide the device key encrypted passcode to the first managed device and to receive a successful authentication of the login request from the first managed device based at least in part on providing the device key encrypted passcode to the first managed device.

Abstract: Embodiments of systems and methods for adapting a log severity level that is applied to log files associated with a target application based on user interaction. In an illustrative, non-limiting embodiment, an adaptive log level control system includes computer-executable instructions for monitoring user interaction with a target application executed on the IHS, identifying a usage pattern of the user interaction, and determining that the usage pattern is indicative of a problem with the target application. The instructions may then adjust a log severity level of log files associated with the target application according to the detected problem.

Abstract: A method for managing power in an information handling system (IHS) environment includes initiating, by a power management console, an end to an emergency power reduction protocol on the IHS environment, based on the end to the emergency power reduction protocol, selecting a device priority group, wherein: the device priority group comprises a plurality of IHS devices, and the device priority group is selected based on a priority of the device priority group, obtaining a power usage estimation for the device priority group, and applying a power limit to the device priority group based on available power to the IHS environment and the power usage estimation.

Abstract: In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may: monitor, by a management console, power consumption of a virtual machine (VM) executed by a first hypervisor on a first physical information handling system (IHS); migrate, by the management console, the VM from the first hypervisor to a second hypervisor on a second physical IHS; provide, by the first hypervisor, VM migration information to the management console; determine, by the management console, if the second hypervisor has been discovered based at least on the VM migration information; if so, refresh a hypervisor inventory to include identification information associated with the second hypervisor; if not, discover the second hypervisor; detect the VM; associate the VM with the second hypervisor; and monitor, by the management console, the power consumption of the VM executed by the second hypervisor on the second physical IHS.

Abstract: A software-defined infrastructure can identify and remediate an airflow deficiency scenario on a rack device. A rack device manager can be configured to discover rack devices and create a representation of their physical locations. The rack device manager can also be configured to periodically retrieve airflow metrics of the rack devices to calculate an estimated airflow for each rack device. The rack device manager can use the estimated airflows and the airflow metrics to generate a rack device classifier for each rack device. Using these rack device classifiers, the rack device manager can detect when rack devices are experiencing airflow deficiencies and attempt to automatically remediate such deficiencies.

Abstract: Software-defined fail-safe power draw control is provided for rack power distribution units (PDUs). A PDU power manager can be used to map devices to a PDU and its sockets. The PDU power manager can also identify the power rating of the PDU and its sockets. With this information, the PDU power manager can generate and apply priority-based and dynamic power caps to the devices connected to the PDU. In this way, the PDU power manager can ensure that the power ratings of the PDU and of each of its sockets are not exceeded while ensuring that power delivery is prioritized based on the workloads that the devices may experience.