Method and apparatus for scaling a custom resource with custom metrics in a containerized application handling system

    公开(公告)号:US11915049B2

    公开(公告)日:2024-02-27

    申请号:US16953202

    申请日:2020-11-19

    申请人: VMware, Inc.

    发明人: Fangyuan Li

    IPC分类号: G06F9/50 G06F9/455 G06F9/54

    摘要: A method and apparatus for autoscaling a custom resource of a containerized application handling system utilizes a metric value defined for a system object of the custom resource to scale the system object of the custom resource. An API request for the metric value is sent from an autoscaler to a control plane of the containerized application handling system to receive the metric value, which is compared to a desired metric value. A target scale metric value is then determined based on the comparison and posted in a database of the containerized application handling system. The system object of the custom resource is scaled by an operator of the containerized application handling system based on the posted target scale metric value.

    Self-learning packet flow monitoring in software-defined networking environments

    公开(公告)号:US11909653B2

    公开(公告)日:2024-02-20

    申请号:US16744131

    申请日:2020-01-15

    申请人: VMware LLC

    摘要: Example methods and systems for self-learning packet flow monitoring. One example method may comprise monitoring a packet flow to identify attribute information associated with the packet flow between a source and a destination; and classifying the packet flow using a classification engine that is trained using a training dataset to determine a classification output associated with the packet flow. The example method may also comprise providing, to a user device, a user interface (UI) that includes a visualization of the packet flow and the classification output; requesting, via the UI, a feedback associated with the classification output for the packet flow; and updating the classification engine or the training dataset based on the feedback from the user device.