Abstract: A technique includes providing a cost model to predict a total cost for supporting a computer-based product system. The cost model predicts preventive, reactive and deferred components of the total cost. The technique includes determining features of the support and computer-based product system based at least in part on the cost model.

Abstract: Examples disclosed herein relate to querying a hardware component for analysis rules. For example, a processor may determine to retrieve an analysis rule associated with a hardware component within a computing system and query the hardware component for an analysis rule associated with the hardware component. The processor may analyze the computing system based on the received analysis rule associated with the first hardware component and a workload to be executed on the computing system.

Abstract: A computing device includes at least one processor and an analysis module. The analysis module is to monitor status information for a first set of compute nodes. The analysis module is also to receive a level-one conclusion from a second manager node, wherein the level-one conclusion is generated by the second manager node based on at least in part on status information for a second set of compute nodes. The analysis module is also to generate a level-two conclusion based on the level-one conclusion, where the manager node, the first set of compute nodes, the second manager node, and the second set of compute nodes are included in a multi-node computing system.

Abstract: Elastic insight to Information Technology (“IT”) performance data is provided. Local performance data is continuously pushed from a front-end component to a back-end component. Global performance data is continuously pushed from the back-end component to the front-end component. The local performance data and the global performance data are aggregated at the front-end component by product, product family, and product solution. The aggregated data is monitored at the front-end component to identify a performance bottleneck.

Abstract: Assigning nodes to jobs based on reliability factors includes calculating the maximum value of a processor utilization efficiency and assigning an optimal number of spare nodes to the job based on the value of the processor utilization efficiency.

Abstract: A technique includes using a computer agent to observe diagnoses of computer-related incidents. Based on the observation, patterns are identified in the diagnoses, and based at least in part on the patterns, the diagnoses are selectively automated.

Abstract: Elastic insight to Information Technology (“IT”) performance data is provided. Local performance data is continuously pushed from a front-end component to a back-end component. Global performance data is continuously pushed from the back-end component to the front-end component. The local performance data and the global performance data are aggregated at the front-end component by product, product family, and product solution. The aggregated data is monitored at the front-end component to identify a performance bottleneck.

Abstract: A technique includes determining a mixture of product-based, automation-based and human-based components of service support to resolve incidents that occur in a computer-based product. Based at least in part on the determined mixture, features are selectively incorporated into the product.

Abstract: A technique includes using a computer agent to observe diagnoses of computer-related incidents. Based on the observation, patterns are identified in the diagnoses, and based at least in part on the patterns, the diagnoses are selectively automated.

Abstract: A technique includes providing a cost model to predict a total cost for supporting a computer-based product system. The cost model predicts preventive, reactive and deferred components of the total cost. The technique includes determining features of the support and computer-based product system based at least in part on the cost model.