Predictive System for Optimizing API Behaviors

    公开(公告)号:US20250030616A1

    公开(公告)日:2025-01-23

    申请号:US18353247

    申请日:2023-07-17

    Abstract: The disclosure relates to a system and method of optimizing one or more paths between an Application Programing Interface (API) gateway and one or more endpoints. Properties associated with each of a plurality of paths between at least one device and an API gateway are collected, and the properties associated with each of the plurality of paths are monitored to determine a current level of performance for each of the paths. Using gathered data, the API gateway can then analyze, using machine learning, the current level of performance for each of the paths and the current load of the at least one device to determine if a corrective action is needed to maintain an optimal performance of the API gateway, the plurality of paths, and the at least one device.

    PROXY STATE SIGNALING FOR NETWORK OPTIMIZATIONS

    公开(公告)号:US20240214319A1

    公开(公告)日:2024-06-27

    申请号:US18201998

    申请日:2023-05-25

    CPC classification number: H04L47/2475 H04L67/564

    Abstract: Techniques for signaling, to a network controller, a connection state of a proxy for use by the network controller to correlate proxied-connections with application pairs for traffic optimization. In some examples, the techniques may include receiving, at a controller of a network, control plane information associated with a proxy that manages a proxied flow through the network. Based on the control plane information, the controller may determine that application traffic is flowing across the proxied flow between a first application and a second application. In this way, based at least in part on a policy associated with at least one of the first application or the second application, the controller may reconfigure a network element of the network for optimizing the application traffic flowing across the proxied flow.

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