Traffic pattern detection and presentation in container-based cloud computing architecture

    公开(公告)号:US10212041B1

    公开(公告)日:2019-02-19

    申请号:US15268102

    申请日:2016-09-16

    Applicant: Avi Networks

    Abstract: Determining and presenting traffic patterns includes: obtaining a first set of traffic metrics pertaining to network traffic associated with a plurality of containers of a container-based cloud computing platform, wherein: the plurality of containers supports a plurality of microservices; and a microservice has one or more corresponding microservice instances that execute on one or more of the plurality of containers; transforming the first set of traffic metrics into a second set of traffic metrics, the second set of traffic metrics comprising network traffic information pertaining to at least some of the plurality of microservices, the transformation being based at least in part on information pertaining to the plurality of containers and the plurality of microservices supported by the plurality of containers; constructing a microservice map based on the second set of traffic metrics; and outputting the microservice map.

    TRAFFIC PATTERN DETECTION AND PRESENTATION IN CONTAINER-BASED CLOUD COMPUTING ARCHITECTURE

    公开(公告)号:US20190123970A1

    公开(公告)日:2019-04-25

    申请号:US16222843

    申请日:2018-12-17

    Applicant: Avi Networks

    Abstract: Determining and presenting traffic patterns includes: obtaining a first set of traffic metrics pertaining to network traffic associated with a plurality of containers of a container-based cloud computing platform, wherein: the plurality of containers supports a plurality of microservices; and a microservice has one or more corresponding microservice instances that execute on one or more of the plurality of containers; transforming the first set of traffic metrics into a second set of traffic metrics, the second set of traffic metrics comprising network traffic information pertaining to at least some of the plurality of microservices, the transformation being based at least in part on information pertaining to the plurality of containers and the plurality of microservices supported by the plurality of containers; constructing a microservice map based on the second set of traffic metrics; and outputting the microservice map.

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