Telemetry system supporting identification of data center zones
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.
1. A method for utilizing telemetry data to identify zones within a data center comprised of a plurality of IHSs (Information Handling Systems), the method comprising:
collecting metric data from the plurality of IHSs operating at a plurality of locations within the data center, wherein the metric data collected from individual ones of the plurality of IHSs identifies a respective location of the respective IHS within the data center;
analyzing the data center locations of the IHSs specified in the collected metric data to identify a first metric of the metric data that is correlated with one or more locations of the plurality of locations within the data center;
based at least in part on the first metric that is correlated with the one or more data center locations, identifying a first zone of the data center that comprises a first subset of the plurality of IHSs, wherein a first subset of the metric data, collected from the first subset of the plurality of IHSs within the first zone of the data center, comprises anomalous metric data relative to a second subset of the metric data collected from neighboring IHSs; and
adjusting operations of the data center within the first zone of the data center, identified based at least in part on the first metric of the metric data collected from the individual IHSs that is correlated with the one or more data center locations, in order to address the anomalous metric data within the first subset of metric data collected from the first subset of IHSs.
2. The method of claim 1 , wherein the metric data identifying the respective location of the respective IHSs within the data center is collected by a remote access controller operating within individual ones of the plurality of IHSs within the data center.
3. The method of claim 2 , wherein the remote access controller collects the metric data from IHS components via sideband management connections with the IHS components.
4. The method of claim 1 , wherein the correlation of the first metric with the one or more data center locations is identified based on a principal component analysis of the collected metric data.
5. The method of claim 1 , wherein the first zone of the data center, that includes the first subset of IHSs within the data center reporting anomalous metric data relative to neighboring IHSs, comprises a rack housing the first subset of IHSs.
6. The method of claim 1 , wherein the first zone of the data center, that includes the first subset of IHSs reporting anomalous metric data relative to neighboring IHSs within the data center, comprises one or more rows that span a plurality of adjacent racks of the data center.
7. The method of claim 1 , further comprising, segmenting the first metric, that is correlated with the one or more data center locations, to identify intervals of variations in the first metric data.
8. The method of claim 1 , wherein the first metric, that is correlated with the one or more data center locations, comprises a temperature metric, and wherein the adjustment to data center operations comprises increasing the cooling delivered by the data center within the first zone.
9. The method of claim 1 , wherein the first metric, that is correlated with the one or more data center locations, comprises a power metric, and wherein the first zone comprises a rack housing the first subset of IHSs.
10. The method of claim 1 , wherein the first metric, that is correlated with the one or more data center locations, comprises a network metric, and wherein the first zone comprises a rack housing the first subset of IHSs.
11. A system for utilizing telemetry data to identify zones within a data center, the system comprising:
a plurality of IHSs (Information Handling Systems) operating at various locations within the data center, wherein individual IHSs of the plurality of IHSs comprise a remote access controller providing remote management of the respective IHS, wherein the remote access controller of the individual IHSs of the plurality of IHSs reports metric data that identifies a location of a plurality of locations of the respective IHS within the data center; and
a non-transitory computer-readable storage medium storing a remote management application that, when executed by at least one processor, is configured to:
analyze the data center locations of the IHSs specified in the reported metric data to identify a first metric of the metric data that is correlated with one or more locations of the plurality of locations within the data center;
based at least in part on the first metric that is correlated with the one or more data center locations, identify a first zone of the data center that comprises a first subset of the plurality of IHSs, wherein a first subset of the metric data, collected from the first subset of the plurality of IHSs within the first zone of the data center, comprises anomalous metric data relative to a second subset of the metric data collected from neighboring IHSs; and
adjust operations of the data center within the first zone of the data center, identified based at least in part on the first metric of the metric data collected from the individual IHSs that is correlated with the one or more data center locations, in order to address the anomalous metric data within the first subset of metric data collected from the first subset of IHSs.
12. The system of claim 11 , wherein the remote access controller of the individual IHSs of the plurality of IHSs collects the metric data from respective IHS components via sideband management connections with the respective IHS components.
13. The system of claim 11 , wherein the correlation of the first metric with the one or more data center locations is identified based on a principal component analysis of the collected metric data.
14. The system of claim 11 , wherein the first zone of the data center, that includes the first subset of IHSs within the data center reporting anomalous metric data relative to neighboring IHSs, comprises a rack housing the first subset of IHSs.
15. The system of claim 11 , wherein the first zone of the data center, that includes the first subset of IHSs within the data center reporting anomalous metric data relative to neighboring IHSs, comprises one or more rows that span a plurality of adjacent racks of the data center.
16. A non-transitory computer-readable storage device having instructions stored thereon for utilizing telemetry data to identify zones within a data center comprised of a plurality of IHSs (Information Handling Systems), wherein upon execution by one or more processors, the instructions cause the one or more processors to:
analyze data center locations of the IHSs specified in metric data collected from the plurality of IHSs operating at a plurality of locations within the data center, wherein the metric data collected from individual ones of the respective IHSs identifies a respective location of the respective IHS within the data center, and wherein the collected metric data is analyzed to identify a first metric of the metric data that is correlated with one or more locations of the plurality of locations within the data center;
based at least in part on the first metric that is correlated with the one or more data center locations, identify a first zone of the data center that comprises a first subset of the plurality of IHSs, wherein a first subset of the metric data collected from the first subset of the plurality of IHSs within the first zone of the data center, comprises anomalous metric data relative to a second subset of the metric data collected from neighboring IHSs; and
adjust operations of the data center within the first zone, identified based at least in part on the first metric of the metric data collected from the individual IHSs that is correlated with the one or more data center locations, in order to address the anomalous metric data within the first subset of metric data collected from the first subset of IHSs.
17. The computer-readable storage device of claim 16 , wherein a remote access controller of the individual IHSs of the plurality of IHSs collects the metric data from respective IHS components via sideband management connections with the respective IHS components.
18. The computer-readable storage device of claim 16 , wherein the correlation of the first metric with the one or more data center locations is identified based on a principal component analysis of the collected metric data.
19. The computer-readable storage device of claim 16 , wherein the first zone of the data center, that includes the first subset of IHSs within the data center reporting anomalous metric data relative to neighboring IHSs, comprises a rack housing the first subset of IHSs.
20. The computer-readable storage device of claim 16 , wherein the first zone of the data center, that includes the first subset of IHSs within the data center reporting anomalous metric data relative to neighboring IHSs, comprises one or more rows that span a plurality of adjacent racks of the data center.