Automatically, dynamically generating augmentation extensions for network feature authorization

    公开(公告)号:US10374884B2

    公开(公告)日:2019-08-06

    申请号:US15217573

    申请日:2016-07-22

    Abstract: Disclosed are systems, methods, and computer-readable storage media for automatically, dynamically generating feature model augmentation statements for data nodes for a new network feature described in a data modeling language. A software-defined controller, or other network components, can detect the availability of a new network feature defined by a feature model in a data modeling language and process the feature model to create an authorization policy data defining access rules control rules for the new network feature. Based on the authorization policy, the controller or the authorization model generator can generate a set of augmentation statements for one or more data nodes in the feature model of the new network feature and augment the new feature model with the augmentation statements for controlling access to the new network feature.

    Scaling service discovery in a micro-service environment

    公开(公告)号:US11412053B2

    公开(公告)日:2022-08-09

    申请号:US16505618

    申请日:2019-07-08

    Abstract: Systems and methods provide for scaling service discovery in a micro-service environment. A controller can inject a service discovery agent onto a host. At least one of the controller or the agent can identify a first set of micro-service containers that are dependencies of the first micro-service container and a second set of micro-service containers that are dependencies of the second micro-service container. At least one of the controller or the agent can update routing data for the first set of micro-service containers and the second set of micro-service containers. At least one of the controller or the agent can determine the second micro-service container has terminated on the host computing device. At least one of the controller or the agent can update the agent to remove the routing data for the second set of micro-service containers.

    SCALING SERVICE DISCOVERY IN A MICRO-SERVICE ENVIRONMENT

    公开(公告)号:US20190335004A1

    公开(公告)日:2019-10-31

    申请号:US16505618

    申请日:2019-07-08

    Abstract: Systems and methods provide for scaling service discovery in a micro-service environment. A controller can inject a service discovery agent onto a host. At least one of the controller or the agent can identify a first set of micro-service containers that are dependencies of the first micro-service container and a second set of micro-service containers that are dependencies of the second micro-service container. At least one of the controller or the agent can update routing data for the first set of micro-service containers and the second set of micro-service containers. At least one of the controller or the agent can determine the second micro-service container has terminated on the host computing device. At least one of the controller or the agent can update the agent to remove the routing data for the second set of micro-service containers.

    INTEGRATED APPROACH TO MONITOR GBP HEALTH AND ADJUST POLICY SERVICE LEVEL

    公开(公告)号:US20170317901A1

    公开(公告)日:2017-11-02

    申请号:US15142308

    申请日:2016-04-29

    CPC classification number: H04L43/08 H04L41/0893 H04L41/5009 H04L43/16

    Abstract: Disclosed are systems, methods, and computer-readable medium for adjusting group based policies. A controller in a network can gather operational data describing performance of an end point group (EPG) in the network. The EPG can be operating according to a first set of policies to achieve a desired performance for the end point group. The controller can calculate a health score for the end point group based on the operational data. The health score can indicate whether an actual performance of the end point group is meeting the desired performance of the end point group. The controller can determine, based on the health score, that the actual performance of the end point group is not meeting the desired performance of the end point group, and apply a second set of policies to the end point group to achieve the desired performance of the end point group.

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