Abstract: Telemetry system metric data that is collected within a data center may be collectively analyzed in order to identify zones within the data center that exhibit deviations in reported metric data. The analyzed metric data is collected from IHSs (Information Handling Systems), such as servers, operating in the data center. The metric data reported by the respective IHSs identifies the location the IHS within the data center. The collected metric data is analyzed to identify metrics that are correlated with locations within the data center. Within the identified metric data that is correlated with data center locations, a zone of the data center is identified that includes a subset of IHSs that have reported anomalous metric data relative to the metric data reported by neighboring IHSs. For instance, such a zone may be an aisle of the data center, one or more racks, and/or rows of servers spanning multiple racks.

Abstract: Systems and methods utilize telemetry data to provide administrators with metric information related to a detected IHS (Information Handling System) event, such as an error condition, where the provided metric information is particularized to the context of the event. A remote access controller (RAC) of the IHS stores metric reports received from metric sources. The RAC receives an indication of the event that specifies a first IHS component as a source of the event and specifies a time associated with the event. The RAC identifies stored metric reports generated by the first component prior to the first time and identifies stored metric reports generated by components that are logically and/o physically related to the first component. The RAC generates an event report that includes the metric reports generated by the first component prior to the first time and the metric reports generated by components related to the first component.

Abstract: Systems and methods utilize telemetry data to provide administrators with metric information related to a detected IHS (Information Handling System) event, such as an error condition, where the provided metric information is particularized to the context of the event. A remote access controller (RAC) of the IHS stores metric reports received from metric sources. The RAC receives an indication of the event that specifies a first IHS component as a source of the event and specifies a time associated with the event. The RAC identifies stored metric reports generated by the first component prior to the first time and identifies stored metric reports generated by components that are logically and/o physically related to the first component. The RAC generates an event report that includes the metric reports generated by the first component prior to the first time and the metric reports generated by components related to the first component.

Abstract: Telemetry system metric data that is collected within a data center may be collectively analyzed in order to identify zones within the data center that exhibit deviations in reported metric data. The analyzed metric data is collected from IHSs (Information Handling Systems), such as servers, operating in the data center. The metric data reported by the respective IHSs identifies the location the IHS within the data center. The collected metric data is analyzed to identify metrics that are correlated with locations within the data center. Within the identified metric data that is correlated with data center locations, a zone of the data center is identified that includes a subset of IHSs that have reported anomalous metric data relative to the metric data reported by neighboring IHSs. For instance, such a zone may be an aisle of the data center, one or more racks, and/or rows of servers spanning multiple racks.