Abstract: 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.

Abstract: Example methods and systems for logical network health check. One example may comprise obtaining network configuration information and network realization information associated with a logical network; processing the network configuration information and the network realization information to determine the following: (a) network configuration health information specifying a network configuration issue and a first remediation action; and (b) network realization health information specifying a network realization issue and a second remediation action; and providing, to a user device, multiple user interfaces (UIs) specifying the first health information and the second health information along with a visualization of the logical network. In response to detecting an instruction initiated by the user device using at least one of the multiple UIs, the first remediation action or the second remediation action may be performed.

Abstract: Example methods and systems for logical network health check. One example may comprise obtaining network configuration information and network realization information associated with a logical network; processing the network configuration information and the network realization information to determine the following: (a) network configuration health information specifying a network configuration issue and a first remediation action; and (b) network realization health information specifying a network realization issue and a second remediation action; and providing, to a user device, multiple user interfaces (UIs) specifying the first health information and the second health information along with a visualization of the logical network. In response to detecting an instruction initiated by the user device using at least one of the multiple UIs, the first remediation action or the second remediation action may be performed.

Abstract: 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.