Abstract: A computer-implemented method according to one embodiment includes identifying, in a multi-component system, a first component with an unknown software version and/or unknown firmware version. A plurality of predetermined compatibility tests are implemented on the first component and results of the plurality of compatibility tests are recorded in a predetermined database of records shared amongst the multi-component system. A record associated with the first component indicates a compatibility of the unknown software version and/or unknown firmware version with the multi-component system. In response to a determination that the record indicates that the unknown software version and/or unknown firmware version is compatible with the multi-component system, data processing is performed between the first component and a second component.

Abstract: According to an aspect, a computer-implemented method includes receiving a request to evaluate an update to a computing system and obtaining a current configuration of the computing system. Aspects also include identifying one or more changes that the update will require to the current configuration and obtaining performance data corresponding to the one or more changes from a data repository. Aspects further include calculating a confidence score for the update based on the performance data and providing the computing system with the confidence score.

Abstract: A datacenter includes a datacenter efficiency management system coupled to node devices. For each of the node devices and based on a power consumption associated with that node device and a performance associated with that node device, the datacenter efficiency management system generates a node group ranking that it uses to group subsets of the node devices into respective homogenous node groups, and then deploys a respective workload on at least one node device in each of the homogenous node groups. Based on at least one of a node workload bandwidth, a node power consumption, and a node health of each node device on which a workload was deployed, the datacenter efficiency management system then generates a workload performance efficiency ranking of the node devices that it then uses to migrate at least one workload between the node devices.

Abstract: A networked system includes a computing device having a central processing system and accelerator system(s). A central processor/accelerator power management system coupled to the computing device via a network operates to deploy workload(s) on the computing device and receive workload performance information from the computing device that identifies a central processing system utilization of the central processing system in performing the workload(s) and an accelerator system utilization of each accelerator system in performing the workload(s). Based on the workload performance information, the computing device determines a first power consumption ratio of the central processing system and the accelerator system(s) in performing the workload(s), and modifies operation of at least one of the central processing system and the accelerator system(s) to change the first power consumption ratio to a second power consumption ratio that is more power efficient than the first power consumption ratio.

Abstract: A computer-implemented method according to one embodiment includes identifying, in a multi-component system, a first component with an unknown software version and/or unknown firmware version. A plurality of predetermined compatibility tests are implemented on the first component and results of the plurality of compatibility tests are recorded in a predetermined database of records shared amongst the multi-component system. A record associated with the first component indicates a compatibility of the unknown software version and/or unknown firmware version with the multi-component system. In response to a determination that the record indicates that the unknown software version and/or unknown firmware version is compatible with the multi-component system, data processing is performed between the first component and a second component.

Abstract: A datacenter includes a datacenter efficiency management system coupled to node devices. For each of the node devices and based on a power consumption associated with that node device and a performance associated with that node device, the datacenter efficiency management system generates a node group ranking that it uses to group subsets of the node devices into respective homogenous node groups, and then deploys a respective workload on at least one node device in each of the homogenous node groups. Based on at least one of a node workload bandwidth, a node power consumption, and a node health of each node device on which a workload was deployed, the datacenter efficiency management system then generates a workload performance efficiency ranking of the node devices that it then uses to migrate at least one workload between the node devices.

Abstract: A datacenter includes a heterogeneous node group efficiency management system that is coupled to node devices and that, based on a power consumption and performance associated with each node device, generates node group rankings that it uses to group subsets of the node devices into respective heterogeneous node groups. The heterogeneous node group efficiency management system then identifies workload characteristic(s) and performance requirement(s) for a workload provided for deployment, identifies a first heterogeneous node group that satisfies the performance requirement for the workload, and identifies first node device(s) that are included in the first heterogeneous node group and that are configured to perform the first workload having the workload characteristic(s) with a higher power efficiency than second node device(s) that are included in the first heterogeneous node group.

Abstract: A networked system includes a computing device having a central processing system and accelerator system(s). A central processor/accelerator power management system coupled to the computing device via a network operates to deploy workload(s) on the computing device and receive workload performance information from the computing device that identifies a central processing system utilization of the central processing system in performing the workload(s) and an accelerator system utilization of each accelerator system in performing the workload(s). Based on the workload performance information, the computing device determines a first power consumption ratio of the central processing system and the accelerator system(s) in performing the workload(s), and modifies operation of at least one of the central processing system and the accelerator system(s) to change the first power consumption ratio to a second power consumption ratio that is more power efficient than the first power consumption ratio.

Abstract: The disclosure includes a computer-implemented method for providing fast data access after a drive failure, a computer program product, and a RAID controller. One embodiment may comprise identifying a RAID array, the RAID array comprising a plurality of storage volumes, identifying an unused block of a provisioned volume in the RAID array, and copying a redundant copy of high value host writes to the unused block. The copying may comprise, for primary strips in the RAID array, creating one or more secondary strips mirroring the primary strips such that each of pair of primary-secondary strips reside on different storage volumes from each other.

Abstract: The disclosure includes a computer-implemented method for providing fast data access after a drive failure, a computer program product, and a RAID controller. One embodiment may comprise identifying a RAID array, the RAID array comprising a plurality of storage volumes, identifying an unused block of a provisioned volume in the RAID array, and copying a redundant copy of high value host writes to the unused block. The copying may comprise, for primary strips in the RAID array, creating one or more secondary strips mirroring the primary strips such that each of pair of primary-secondary strips reside on different storage volumes from each other.

Abstract: A method, an information handling system (IHS), and an event logging system generate combined event logs in an IHS. The method includes receiving, via a remote access controller (RAC), a tagged log containing operating system (OS) event data. A hardware log containing hardware event data is retrieved from a RAC memory. The tagged log and the hardware log are combined to form a combined event log containing both OS event data and hardware event data in a uniform format. The combined event log is stored to the RAC memory.

Abstract: A method, an information handling system (IHS), and an event logging system generate combined event logs in an IHS. The method includes receiving, via a remote access controller (RAC), a tagged log containing operating system (OS) event data. A hardware log containing hardware event data is retrieved from a RAC memory. The tagged log and the hardware log are combined to form a combined event log containing both OS event data and hardware event data in a uniform format. The combined event log is stored to the RAC memory.