Network dashboard with multifaceted utilization visualizations

    公开(公告)号:US11070452B1

    公开(公告)日:2021-07-20

    申请号:US16752519

    申请日:2020-01-24

    Abstract: Techniques for presenting information about a network, virtualization infrastructure, cluster, or other computing environment, which may involve presentation of user interfaces that may enable nuanced, unique, and/or comprehensive insights into how infrastructure elements, instances, and/or computing resources are being used and information about patterns of usage and/or utilization. Techniques for communicating, within a computing system, information used to create, update, and/or modify the user interfaces that present information about a network, virtualization infrastructure, cluster, or other computing environment. Techniques in accordance with one or more aspects of the present disclosure may involve use of separate interfaces for collecting or accessing data used to draw a user interface that presents information about a network, and for collecting or receiving data used to update the user interface as changes occur to the utilization of infrastructure elements represented within the user interface.

    Network dashboard with multifaceted utilization visualizations

    公开(公告)号:US10673714B1

    公开(公告)日:2020-06-02

    申请号:US15637686

    申请日:2017-06-29

    Abstract: This disclosure describes techniques for presenting information about a network, virtualization infrastructure, cluster, or other computing environment, and may involve presentation of user interfaces that may enable nuanced, unique, and/or comprehensive insights into how infrastructure elements and computing resources are being used and information about patterns of usage and/or utilization. This disclosure also describes techniques for communicating, within a computing system, information used to create, update, and/or modify the user interfaces that present information about a network, virtualization infrastructure, cluster, or other computing environment. Techniques in accordance with one or more aspects of the present disclosure may involve use of separate interfaces for collecting or accessing data used to draw a user interface that presents information about a network, and for collecting or receiving data used to update the user interface as changes occur to the utilization of infrastructure elements represented within the user interface.

    POLICY CONTROLLER FOR DISTRIBUTED VIRTUALIZATION INFRASTRUCTURE ELEMENT MONITORING

    公开(公告)号:US20210099368A1

    公开(公告)日:2021-04-01

    申请号:US17120420

    申请日:2020-12-14

    Abstract: This disclosure describes techniques for monitoring, scheduling, and performance management for virtualization infrastructures within networks. In one example, a computing system includes a plurality of different cloud-based compute clusters (e.g., different cloud projects), each comprising a set of compute nodes. Policy agents execute on the compute nodes to monitor performance and usage metrics relating to resources of the compute nodes. Policy controllers within each cluster deploy policies to the policy agents and evaluate performance and usage metrics from the policy agents by application of one or more rulesets for infrastructure elements of the compute cluster. Each of the policy controllers outputs data to a multi-cluster dashboard software system indicative of a current health status for the infrastructure elements based on the evaluation of the performance and usage metrics for the cluster. The multi-cluster dashboard software system data outputs, as single user interface screen, the current health status for each of the cloud-based compute clusters.

    MICRO-LEVEL MONITORING, VISIBILITY AND CONTROL OF SHARED RESOURCES INTERNAL TO A PROCESSOR OF A HOST MACHINE FOR A VIRTUAL ENVIRONMENT

    公开(公告)号:US20180285166A1

    公开(公告)日:2018-10-04

    申请号:US15797098

    申请日:2017-10-30

    Abstract: Aspects of this disclosure relate to monitoring use of shared resources to identify processes using such shared resources in a manner that may be affecting the performance of other processes. In one example, a method comprises: monitoring, by a computing device, usage metrics for a shared cache that is shared by one or more processors of the computing device; mapping the usage metrics to each of a plurality of virtual computing environments executing on the one or more processors, wherein the plurality of virtual computing environments includes a first virtual computing environment and a second virtual computing environment; determining, based on the mapped usage metrics, that the first virtual computing environment is using the shared cache in a manner that adversely affects the performance of the second virtual computing environment; and restricting, by the computing device, access to the shared cache by the first virtual computing environment.

    Policy controller for distributed virtualization infrastructure element monitoring

    公开(公告)号:US11240128B2

    公开(公告)日:2022-02-01

    申请号:US17120420

    申请日:2020-12-14

    Abstract: This disclosure describes techniques for monitoring, scheduling, and performance management for virtualization infrastructures within networks. In one example, a computing system includes a plurality of different cloud-based compute clusters (e.g., different cloud projects), each comprising a set of compute nodes. Policy agents execute on the compute nodes to monitor performance and usage metrics relating to resources of the compute nodes. Policy controllers within each cluster deploy policies to the policy agents and evaluate performance and usage metrics from the policy agents by application of one or more rulesets for infrastructure elements of the compute cluster. Each of the policy controllers outputs data to a multi-cluster dashboard software system indicative of a current health status for the infrastructure elements based on the evaluation of the performance and usage metrics for the cluster. The multi-cluster dashboard software system data outputs, as single user interface screen, the current health status for each of the cloud-based compute clusters.

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