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.

Abstract: A variety of different graphical user interfaces are generated that when displayed provide a visual and interactive representation of one or more performance metrics associated with the operation of a computer network. The graphical user interfaces may be used to monitor the underlay computer network for a virtualization infrastructure, as one example. Aspects include grouping the servers of a computer network into a plurality of aggregates, each aggregate comprising one or more servers. A set of probes are configured that are issued by an agent of a server in one aggregate and sent through the computer network to one or more agents in the server(s) of a different aggregate. Responses and other measurements taken based on the issuance of the probes is gathered and analyzed to generate metrics that are then used to generate, at least in part, the information provided in the graphical user interfaces.

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.

Abstract: A computing system includes a computing device configured to execute a plurality of virtual machines, each virtual machine of the plurality of virtual machines configured to provide control plane functionality for at least a different respective subset of forwarding units of a network device, the computing device distinct from the network devices. The computing system also includes a policy agent configured to execute on the computing device. The agent is configured to determine that a particular virtual machine of the plurality of virtual machines provides control plane functionality for one or more forwarding units of the network device; determine control plane usage metrics for resources of the particular virtual machine; and output, to a policy controller, data associated with the control plane usage metrics and data associating the particular virtual machine with the one or more forwarding units for which the particular virtual machine provides control plane functionality.

Abstract: A cloud extension agent can be provided on a customer premise for interfacing, via an outbound secure connection, cloud based services.

Abstract: A cloud extension agent can be provided on a customer premise for interfacing, via an outbound secure connection, cloud based services.

Abstract: A method of monitoring status information of devices is described. The method includes establishing a first connection to a hardware resource executing a cloud extension agent on a local network, over a wide area network external from the local network and separated by at least one firewall, using a standard internet protocol. The method further includes sending, via the first connection, a first set of instructions to manage a first set of mobile devices by one or more local servers on the local network; and receiving status information via the secure network connection, wherein the status information is from the one or more local servers on the local network associated with a plurality of devices that access the one or more local servers.

Abstract: A cloud extension agent can be provided on a customer premise for interfacing, via an outbound secure connection, cloud based services. The cloud extension agent can reach the cloud based services through existing firewall infrastructure, thereby providing simple, secure deployment. Furthermore, the secure connection can enable substantially real-time communication with a cloud service to provide web-based, substantially real time control or management of resources on the customer premises via the cloud extension agent.

Abstract: A system and method of automated downtime scheduling and control is disclosed. A failure of at least one component of at least one bare-metal server associated with a client is detected and a first notification is transmitted to a client system associated with the client. The notification includes a request to schedule downtime. A response including a selected downtime is received from the client system and the at least one bare-metal server is transitioned to an offline state at the selected downtime. A ticket is generated in a ticketing system for repair of the bare-metal server. The ticket identifies the at least one component.

Abstract: A computing system includes a computing device configured to execute a plurality of virtual machines, each virtual machine of the plurality of virtual machines configured to provide control plane functionality for at least a different respective subset of forwarding units of a network device, the computing device distinct from the network devices. The computing system also includes a policy agent configured to execute on the computing device. The agent is configured to determine that a particular virtual machine of the plurality of virtual machines provides control plane functionality for one or more forwarding units of the network device; determine control plane usage metrics for resources of the particular virtual machine; and output, to a policy controller, data associated with the control plane usage metrics and data associating the particular virtual machine with the one or more forwarding units for which the particular virtual machine provides control plane functionality.

Abstract: A system that permits or otherwise facilitates assessment of operational state of a computing component in a computing environment. In one example, this disclosure describes a method that includes collecting, by a server device that is executing within a server device cluster, metric information indicative of an operational state of the server device, wherein the metric information is associated with a plurality of virtual computing instances executing on the server device; analyzing, by the server device and based on the metric information, whether a first condition associated with a first virtual computing instance is satisfied; analyzing, by the server device and based on the metric information, whether a second condition associated with a second virtual computing instance is satisfied; and updating control information characterizing the operational state of the server device executing within the server device cluster.

Abstract: Systems and methods for selecting a worst service first optimized test path are provided. Such systems and methods can include using previously collected RF results that are relevant to a target building to calculate predictive RF results for a plurality of test points in the target building, using the predictive RF results to calculate the optimized test path through the target building, measuring a respective actual RF signal value of each of the plurality of test points in succession along the optimized test path, counting failing ones of the plurality of test points, and stopping measurements of the respective actual RF signal value of each of the plurality test points when a counted number of the failing ones of the plurality of test points exceeds a failure threshold value.

Abstract: Systems and methods for retrieving RF coverage data for a geographic location and using the RF coverage data for the geographic area to alert a user device are provided. In some embodiments, such systems and methods can include receiving a notification of an emergency event at an emergency dispatch location associated with the geographic location, and pushing the RF coverage data for the geographic location to a first user device or directing the first user device to retrieve the RF coverage data for the geographic location. In some embodiments, such systems and method can include detecting when an ambient location of a second user device indicates proximity to and/or possible or likely entry of the second user device to a portion of the geographic area associated with the RF coverage data that is below a predetermined threshold and, responsive thereto, transmitting an alert to the second user device.

Abstract: A variety of different graphical user interfaces are generated that when displayed provide a visual and interactive representation of one or more performance metrics associated with the operation of a computer network. The graphical user interfaces may be used to monitor the underlay computer network for a virtualization infrastructure, as one example. Aspects include grouping the servers of a computer network into a plurality of aggregates, each aggregate comprising one or more servers. A set of probes are configured that are issued by an agent of a server in one aggregate and sent through the computer network to one or more agents in the server(s) of a different aggregate. Responses and other measurements taken based on the issuance of the probes is gathered and analyzed to generate metrics that are then used to generate, at least in part, the information provided in the graphical user interfaces.

Abstract: A first cloud extension agent that facilitates internet-based management of a first set of local computing resources of a network is provided by a remote network management platform. A first connection is established to the first cloud extension agent. A second cloud extension agent that facilitates internet-based management of a second set of local computing resources of a network is provided by the remote network management platform. A second connection is established to the second cloud extension agent. A first set of instructions is provided to the first cloud extension via the first connection and a second set of instructions is provided to the second cloud extension via the second connection.

Abstract: A variety of different graphical user interfaces are generated that when displayed provide a visual and interactive representation of one or more performance metrics associated with the operation of a computer network. The graphical user interfaces may be used to monitor the underlay computer network for a virtualization infrastructure, as one example. Aspects include grouping the servers of a computer network into a plurality of aggregates, each aggregate comprising one or more servers. A set of probes are configured that are issued by an agent of a server in one aggregate and sent through the computer network to one or more agents in the server(s) of a different aggregate. Responses and other measurements taken based on the issuance of the probes is gathered and analyzed to generate metrics that are then used to generate, at least in part, the information provided in the graphical user interfaces.

Abstract: This disclosure describes techniques for monitoring, scheduling, and performance management for computing environments, such as virtualization infrastructures deployed within data centers. In one example, a method includes obtaining, by a policy controller, a first profile for an element of a virtualization infrastructure, the first profile comprising a first ruleset having one or more alarms; obtaining, by the policy controller, a second profile for a group of one or more elements including the element, the second profile comprising a second ruleset having one or more alarms; modifying, by the policy controller based at least on the element being a member of the group, the first profile to generate a modified first profile comprising the first ruleset and the second ruleset; and outputting, by the policy controller to a computing device, the modified first profile.

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.

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.

Abstract: The present invention addresses the need for improved virtualized cloud infrastructure policy implementation and management in order allow real-time monitoring and optimization of virtualized resources. It provides systems and methods for real-time cloud infrastructure policy implementation and management that include a plurality of host devices, a plurality of real-time probe agents associated with the plurality of host devices operating on each of the plurality of host devices, and a policy engine communicatively coupled to the plurality of host devices and containing a policy associated with an application program deployed in at least one of the plurality of host devices. The policy engine is programmed to monitor in real time changes in deployment of the application program across the plurality of host devices and to push the policy to the real-time probe agent operating on each host device on which the application program is deployed.