Apstra, Inc.

Juniper Networks, Inc.

Chi Fung Michael Chan

Aleksandar Luka Ratkovic

Diheng Qu

Mansour Jad Karam

Atul Bhaskarrao Patil

Aleksandr Gordeev

Roman Bogorodskiy

Aleksei Goditskii

Raghavendra Rachamadugu

Ilia Kharin

Maksim Kulkin

Raunak Banthia

Rajeev Menon Kadekuzhi

Eitan Joffe

Aleksei Slutckii

Nathaniel Scott Ray

Manish Kumar Mathukumilli

Ilya Kharin

Georgy Savostyanov

A method includes storing, by one or more processors, a plurality of intent graphs for a network and receiving, the by one or more processors, a query indicating a time. The method further includes determining, by the one or more processors, a subset of telemetry data that corresponds to the time range using the time indicated by the query. The method further includes generating, by the one or more processors and based on an intent graph of the plurality of intent graphs that is associated with a time range that includes the time indicated by the query and based on the subset of the telemetry data, one or more metrics and outputting, by the one or more processors, an indication of the one or more metrics.

Replay of analytics for a network management system

A system comprising one or more processors configured to receive a query indicating one or more of filtering information, sorting information, or joining information and retrieve, from a first datastore, an intent graph for a network, wherein the intent graph comprises nodes representing components of the network and edges representing connections between the components. The one or more processors being further configured to select a subset of a plurality of network devices of the network based on the query and the intent graph retrieved from the first datastore and retrieve, from a second datastore, data received from the plurality of network devices of the network. The one or more processors being further configured to determine a response to the query based on the selected subset of the plurality of network devices and the data retrieved from the second datastore and output the response to the query.

Query mechanism for a network management system

A controller device includes one or more processors and a memory for storing instructions that, when executed, cause the one or more processors to receive, from a set of network devices in a network, a time series of telemetry data; determine, using telemetry data, a threshold for a parameter of a network device of the set of network devices; in response to reception of an indication that an instant value for the parameter does not satisfy the determined threshold for the parameter, determine that an anomaly has occurred at the network device; in response to the determination, generate a user interface having first data for a first time period that occurs before the anomaly, second data for a second time period corresponding to when the anomaly occurs in the network, and third data for a third time period that occurs after the anomaly.

Anomaly detection for network devices using intent-based analytics

A system includes computer-readable media configured to store a plurality of objects representing intent graph models of a network, and processing circuitry coupled to the computer-readable media. The processing circuitry is configured to receive a request indicating a requested time, determine one or more first objects of the plurality of objects, the first objects storing an intent graph model associated with a first time, the first time different from the requested time, determine one or more second objects of the plurality of objects, the second objects storing difference information indicating one or more changes to the intent graph model associated with the first time that occurred after the first time, apply the changes to the intent graph model associated with the first time to generate an intent graph model associated with the requested time, and output an indication of the intent graph model associated with the requested time.

Intent graph model generation using difference information

A method for managing a plurality of network devices of a network includes determining, by one or more processors, a causality map for the plurality of network devices according to an intent. The method further includes receiving, by the one or more processors, an indication of a network service impact and determining, by the one or more processors, a relevant portion of the causality map based on the network service impact. The method further includes determining, by the one or more processors, one or more candidate root cause faults based on the relevant portion of the causality map and outputting, by the one or more processors, an indication of the one or more candidate root cause faults.

Network graph model and root cause analysis for a network management system

A first device verification model is sent to a first agent on a first device providing at least a portion of the service. The first agent is able to monitor based on the first device verification model a parameter of the first device related to the service. A second device verification model is sent to a second agent on a second device providing at least a portion of the service, wherein the second agent is able to monitor based on the second device verification model a parameter of the second device related to the service. A report is received from the first agent of at least the parameter of the first device. A report is received from the second agent of at least the parameter of the second device. At least the parameter of the first device and at least the parameter of the second device are analyzed to determine whether the service is functioning as intended.

Verifying service status

A fault model representation of a computer network is generated, wherein the computer network includes a set of connected computer network elements that was at least in part configured based on a specified declarative intent in forming the computer network. A symptom representation for the computer network is determined based on telemetry data of one or more elements of the set of connected computer network elements and a behavior specification repository identifying symptoms and their associated root causes. The fault model representation and the symptom representation are provided to a root cause analysis to determine one or more root causes of one or more detected symptoms of the computer network.

Intent driven root cause analysis

A method for configuring a computing infrastructure is disclosed. The method comprises representing at least a portion of the computing infrastructure as a graph representation of computing infrastructure elements including a computing infrastructure node and a computing infrastructure edge, detecting a change in the graph representation of computing infrastructure elements, and determining whether the change affects a graph representation query pattern. In the event the change affects the graph representation query pattern, the change is notified to a query agent associated with the graph representation query pattern.

Configuration, telemetry, and analytics of a computer infrastructure using a graph model

A first device verification model is sent to a first proxy agent on a first device providing at least a portion of the service. The first proxy agent is able to monitor based on the first device verification model a parameter of the first device related to the service. A second device verification model is sent to a second proxy agent on a second device providing at least a portion of the service, wherein the second proxy agent is able to monitor based on the second device verification model a parameter of the second device related to the service. A report is received from the first proxy agent of at least the parameter of the first device. A report is received from the second proxy agent of at least the parameter of the second device. At least the parameter of the first device and at least the parameter of the second device are compared to determine whether the service is functioning as intended.

Growing community of inventors

Mountain View, CA, United States of America

Chi Fung Michael Chan