Juniper Networks, Inc.

Cisco Technology, Inc.

Appformix Inc.

At&t Intellectual Property I, L.p.

University of California

Walmart Apollo, LLC

Synchronoss Technologies, Inc

At+t Corp.

Acelio, Inc.

Sumeet Singh

Travis Gregory Newhouse

Harshit Naresh Chitalia

Parantap Roy

Avi K Patel

Tarun Banka

Pawan Prakash

Neeren Shripad Patki

George Varghese

Moitrayee Gupta

Weixu Zhuang

Flavio Giovanni Bonomi

John David Huber

Jonathan Chang

Subhabrata Bapi Sen

Nicholas G Duffield

Yin Sheng Zhang

Carsten Lund

Subrata Banerjee

Sukhdev S Kapur

Muninder Singh Sambi

Ashok Ganesan

Cecilia Martin

Ramana Kompella

Mei Wang

Ethan M Spiegel

Stefan Roberts Savage

Gerald Bothello

Surajit Roy

Chaitanya Pemmaraju

Shriniwas Phalke

Srivignessh Pacham Sri Srinivasan

Biswal Kumar

Cristi Estan

Sanjay Kumar Hooda

Debojyoti Dutta

Snigdhendu Mukhopadhyay

Sushil Kumar Singh

Sanjay Thyamagundalu

Chui-Tin Yen

Pradeep S Sudame

Rajiv Raghunarayan

Arpan K Ghosh

Sundar Rajan

Saumyavapuh Lugani

Erik David Ludvigson

Michael Ayres

Michael Semanko

Bashir Eghbali

Travis G Newhouse

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.

Policy controller for distributed virtualization infrastructure element monitoring

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.

Monitoring and policy control of distributed data and control planes for virtual nodes

Display screen with animated graphical user interface

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.

Policy implementation and management

In one example, a method includes obtaining, by a policy controller for a virtualization infrastructure, a first profile for a first group of one or more elements, the first profile comprising a first ruleset having one or more alarms; obtaining, by the policy controller, a second profile for a second group of one or more elements, the second profile comprising a second ruleset having one or more alarms; receiving, by the policy controller, configuration data configuring an element of the virtualization infrastructure as a member of the first group of one or more elements and as a member of the second group of one or more elements; generating, by the policy controller based on the configuration data, a profile for the element comprising the first ruleset and the second ruleset; and outputting, by the policy controller to a computing device, the profile for the element.

Virtualization infrastructure element monitoring and policy control in a cloud environment using profiles

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.

Virtualization infrastructure underlay network performance measurement and monitoring

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.

Self-service operation for bare-metal servers

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.

Assessment of operational states of a computing environment

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.

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.

Network dashboard with multifaceted utilization visualizations

Growing community of inventors

Saratoga, CA, United States of America

Sumeet Singh