System and method for network root cause analysis

    公开(公告)号:US10904071B2

    公开(公告)日:2021-01-26

    申请号:US16816604

    申请日:2020-03-12

    Abstract: Disclosed herein is a multi-level analysis for determining a root cause of a network problem by performing a first level of the multi-level process that includes collecting data from one or more network components, generating a set of system metrics where each system metric of the set representing a portion of the data, ranking the set of system metrics based on a level of correlation of each system metric to the network problem to yield a ranked set of system metrics, and providing a visual representation of the first level of the multi-level process. A second level of the multi-level process includes receiving an input identifying one or more of the ranked set of system metrics to be excluded from analysis and performing a conditional analysis using only ones of the set of system metrics that are not identified for exclusion.

    PREDICTING APPLICATION AND NETWORK PERFORMANCE

    公开(公告)号:US20200287806A1

    公开(公告)日:2020-09-10

    申请号:US16884449

    申请日:2020-05-27

    Abstract: An application and network analytics platform can capture comprehensive telemetry from servers and network devices operating within a network. The platform can discover flows running through the network, applications generating the flows, servers hosting the applications, computing resources provisioned and consumed by the applications, and network topology, among other insights. The platform can generate various models relating one set of application and network performance metrics to another. For example, the platform can model application latency as a function of computing resources provisioned to and/or actually used by the application, its host's total resources, and/or the distance of its host relative to other elements of the network. The platform can change the model by moving, removing, or adding elements to predict how the change affects application and network performance. In some situations, the platform can automatically act on predictions to improve application and network performance.

    System and method for network root cause analysis

    公开(公告)号:US10594542B2

    公开(公告)日:2020-03-17

    申请号:US15796687

    申请日:2017-10-27

    Abstract: Disclosed herein is a multi-level analysis for determining a root cause of a network problem by performing a first level of the multi-level process that includes collecting data from one or more network components, generating a set of system metrics where each system metric of the set representing a portion of the data, ranking the set of system metrics based on a level of correlation of each system metric to the network problem to yield a ranked set of system metrics, and providing a visual representation of the first level of the multi-level process. A second level of the multi-level process includes receiving an input identifying one or more of the ranked set of system metrics to be excluded from analysis and performing a conditional analysis using only ones of the set of system metrics that are not identified for exclusion.

    Network migration assistant
    85.
    发明授权

    公开(公告)号:US10554501B2

    公开(公告)日:2020-02-04

    申请号:US15790412

    申请日:2017-10-23

    Abstract: The disclosed technology relates to assisting with the migration of networked entities. A system may be configured to collect operations data for a service from at least one endpoint host in a network, calculate at least one metric for the service based on the operations data, retrieve a migration configuration and platform data for a target platform, generate a predicted cost for the migration configuration based on the migration configuration, the at least one metric, and the platform data, and provide the predicted cost for the migration configuration to a user.

    SYSTEM AND METHOD FOR NETWORK ROOT CAUSE ANALYSIS

    公开(公告)号:US20190132190A1

    公开(公告)日:2019-05-02

    申请号:US15796687

    申请日:2017-10-27

    Abstract: Disclosed herein is a multi-level analysis for determining a root cause of a network problem by performing a first level of the multi-level process that includes collecting data from one or more network components, generating a set of system metrics where each system metric of the set representing a portion of the data, ranking the set of system metrics based on a level of correlation of each system metric to the network problem to yield a ranked set of system metrics, and providing a visual representation of the first level of the multi-level process. A second level of the multi-level process includes receiving an input identifying one or more of the ranked set of system metrics to be excluded from analysis and performing a conditional analysis using only ones of the set of system metrics that are not identified for exclusion.

    Policy-driven compliance
    89.
    发明授权

    公开(公告)号:US10033766B2

    公开(公告)日:2018-07-24

    申请号:US15133155

    申请日:2016-04-19

    Abstract: A network can achieve compliance by defining and enforcing a set of network policies to secure protected electronic information. The network can monitor network data, host/endpoint data, process data, and user data for traffic using a sensor network that provides multiple perspectives. The sensor network can include sensors for networking devices, physical servers, hypervisors or shared kernels, virtual partitions, and other network components. The network can analyze the network data, host/endpoint data, process data, and user data to determine policies for traffic. The network can determine expected network actions based on the policies, such as allowing traffic, denying traffic, configuring traffic for quality of service (QoS), or redirecting traffic along a specific route. The network can update policy data based on the expected network actions and actual network actions. The policy data can be utilized for compliance.

    AUTOMATICALLY DETERMINING SENSOR LOCATION IN A VIRTUALIZED COMPUTING ENVIRONMENT
    90.
    发明申请
    AUTOMATICALLY DETERMINING SENSOR LOCATION IN A VIRTUALIZED COMPUTING ENVIRONMENT 有权
    在虚拟化计算环境中自动确定传感器位置

    公开(公告)号:US20170075710A1

    公开(公告)日:2017-03-16

    申请号:US14855811

    申请日:2015-09-16

    Abstract: Methods, systems, and computer readable media are provided for determining, in a virtualized network system, a relationship of a sensor relative to other sensors. In a virtualized computing system in which a plurality of software sensors are deployed and in which there are one or more traffic flows, captured network data is received from the plurality of sensors, the captured network data from a given sensor of the plurality of sensors indicating one or more traffic flows detected by the given sensor. The received captured network data is analyzed to identify, for each respective sensor, a first group of sensors, a second group of sensors, and a third group of sensors, wherein all traffic flows observed by the first group of sensors are also observed by the second group of sensors, and all traffic flows observed by the second group of sensors are also observed by the third group of sensors. For each respective sensor, a location of each respective sensor relative to other sensors within the virtualized computing system is determined based upon whether the respective sensor belongs to the first group of sensors, the second group of sensors, or the third group of sensors.

    Abstract translation: 提供了方法,系统和计算机可读介质,用于在虚拟化网络系统中确定传感器相对于其他传感器的关系。 在其中部署多个软件传感器并且其中存在一个或多个业务流的虚拟化计算系统中,从多个传感器接收捕获的网络数据,来自多个传感器中的给定传感器的所捕获的网络数据指示 由给定传感器检测到的一个或多个交通流量。 分析所接收的捕获的网络数据,以便为每个相应的传感器识别第一组传感器,第二组传感器和第三组传感器,其中由第一组传感器观察到的所有交通流也被 第二组传感器,第二组传感器观测到的所有交通流量也由第三组传感器观察到。 对于每个相应的传感器,基于各个传感器是否属于第一组传感器,第二组传感器或第三组传感器来确定每个相应传感器相对于虚拟化计算系统内的其它传感器的位置。

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