Abstract: An apparatus includes a memory and a processor. The processor is configured to execute instructions stored in the memory to determine interrupt events from a plurality of notification events generated by one or more of a plurality of computer systems; receive alert data indicating occurrence of monitored conditions in a managed information technology environment; assign, based on the alert data, incidents to the responder; modify, with respect to the responder, a notification configuration based on resolution data associated with the incidents and the interrupt events; and transmit a notification to the responder according to the modified notification configuration in response to assigning a new incident to the responder. The interrupt events are determined based on respective corresponding notification events being sent in respective manners designed to immediately alert a responder.

Abstract: Embodiments are directed towards identifying and decreasing operational pain and increasing system efficiency through health monitoring and management. This may be accomplished through measuring, monitoring, reducing meaningful incident behavior across an organization and using it to inform necessary changes in the organizational operations to improve efficiency, or the like. Ergonomic data or metrics collected by a resource management engine may be used to intelligently inform management decisions to increase human well-being across the organization's workforce to optimize overall system performance. Accordingly, resource management engines may identify areas in organizations that need improvement or repair. In some embodiments, resource management engines may be arranged to participate in a continuous feedback loop that may provide continuous overall system optimization.

Abstract: Implementations of this disclosure are directed towards the computer-implemented determination of interrupt events from a plurality of notification events generated by one or more of a plurality of computer systems. Interrupt events are associated with notifications designed to immediately alert a responder. A health score is generated as a weighted sum of one or more health sub-scores that are generated using one or more health sub-score models that take as input more health metrics representative of data associated with one or more interrupt events. The health sub-scores are representative of an impact relating to the management of operations of the plurality of computer systems and the weights used in the weighted score are representative of an estimation of the relative impact of the generated health sub-scores. The health sub-score models may be automatically modified according to an automated analysis of historic operational outcome metrics and historic scores.

Abstract: Embodiments are directed towards embodiments for monitoring or predicting user health with respect their use of connected computers, such as, mobile phones, tablets, or the like. Activities associated with a user and a computing device may be monitored to determine activity events. One or more sub-scores may be provided in real time based on metrics provided as input to sub-score models such that the metrics are associated with the activity events. A health score associated with a probability of an occurrence of adverse user outcomes may be provided based on a health model that uses the sub-scores. An analysis engine may compare the health score to other health scores to predict in real time the adverse outcomes. The analysis engine may recommend one or more actions to decrease the probability of the occurrence of the adverse outcomes based on the result.

Abstract: Embodiments are directed towards identifying and decreasing operational pain and increasing system efficiency through health monitoring and management. This may be accomplished through measuring, monitoring, reducing meaningful incident behavior across an organization and using it to inform necessary changes in the organizational operations to improve efficiency, or the like. Ergonomic data or metrics collected by a resource management engine may be used to intelligently inform management decisions to increase human well-being across the organization's workforce to optimize overall system performance. Accordingly, resource management engines may identify areas in organizations that need improvement or repair. In some embodiments, resource management engines may be arranged to participate in a continuous feedback loop that may provide continuous overall system optimization.

Abstract: Embodiments are directed towards embodiments for monitoring or predicting user health with respect their use of connected computers, such as, mobile phones, tablets, or the like. Activities associated with a user and a computing device may be monitored to determine activity events. One or more sub-scores may be provided in real time based on metrics provided as input to sub-score models such that the metrics are associated with the activity events. A health score associated with a probability of an occurrence of adverse user outcomes may be provided based on a health model that uses the sub-scores. An analysis engine may compare the health score to other health scores to predict in real time the adverse outcomes. The analysis engine may recommend one or more actions to decrease the probability of the occurrence of the adverse outcomes based on the result.