Abstract: A network management system (NMS) is described that provides a granular troubleshooting workflow at an application session level using an application session-specific topology from a client device to a cloud-based application server. During an application session of a cloud-based application, a client device running the application exchanges data through one or more access point (AP) devices, one or more switches at a wired network edge, and one or more network nodes, e.g., switches, routers, and/or gateway devices, to reach a cloud-based application server. For a particular application session, the NMS generates a topology based on network data received from a subset of network devices, e.g., client devices, AP devices, switches, routers, and/or gateways, that were involved in the particular application session over a duration of the particular application session. In this way, the NMS enables backward-looking troubleshooting of the particular application session.

Abstract: A network management system (NMS) is described that provides a granular troubleshooting workflow at an application session level using an application session-specific topology from a client device to a cloud-based application server. During an application session of a cloud-based application, a client device running the application exchanges data through one or more access point (AP) devices, one or more switches at a wired network edge, and one or more network nodes, e.g., switches, routers, and/or gateway devices, to reach a cloud-based application server. For a particular application session, the NMS generates a topology based on network data received from a subset of network devices, e.g., client devices, AP devices, switches, routers, and/or gateways, that were involved in the particular application session over a duration of the particular application session. In this way, the NMS enables backward-looking troubleshooting of the particular application session.

Abstract: An example network analysis system includes a memory storing telemetry data received from a plurality of network devices, the plurality of network devices includes extract entity information and connectivity information from the received telemetry data, wherein the entity information represents one or more network devices of the plurality of network devices and the connectivity information represents network connections between one or more devices of the plurality of network devices; and store the connectivity information and entity information as a network topology graph in a graph database, wherein the entity information is stored as nodes of the network topology graph and the connectivity information is stored as edges of network topology graph, and wherein the network topology graph represents an organization level topology of the organization network.

Abstract: An example network analysis system includes a memory storing telemetry data received from a plurality of network devices, the plurality of network devices includes extract entity information and connectivity information from the received telemetry data, wherein the entity information represents one or more network devices of the plurality of network devices and the connectivity information represents network connections between one or more devices of the plurality of network devices; and store the connectivity information and entity information as a network topology graph in a graph database, wherein the entity information is stored as nodes of the network topology graph and the connectivity information is stored as edges of network topology graph, and wherein the network topology graph represents an organization level topology of the organization network.

Abstract: An example network analysis system includes a memory storing telemetry data received from a plurality of network devices, the plurality of network devices includes extract entity information and connectivity information from the received telemetry data, wherein the entity information represents one or more network devices of the plurality of network devices and the connectivity information represents network connections between one or more devices of the plurality of network devices; and store the connectivity information and entity information as a network topology graph in a graph database, wherein the entity information is stored as nodes of the network topology graph and the connectivity information is stored as edges of network topology graph, and wherein the network topology graph represents an organization level topology of the organization network.

Abstract: A network management system (NMS) is described that provides a granular troubleshooting workflow at an application session level using an application session-specific topology from a client device to a cloud-based application server. During an application session of a cloud-based application, a client device running the application exchanges data through one or more access point (AP) devices, one or more switches at a wired network edge, and one or more network nodes, e.g., switches, routers, and/or gateway devices, to reach a cloud-based application server. For a particular application session, the NMS generates a topology based on network data received from a subset of network devices, e.g., client devices, AP devices, switches, routers, and/or gateways, that were involved in the particular application session over a duration of the particular application session. In this way, the NMS enables backward-looking troubleshooting of the particular application session.

Abstract: This disclosure describes a system including a plurality of access point (AP) devices configured to provide a wireless network at a site; and a network management system (NMS) including a memory storing AP-side data collected by the plurality of AP devices and storing client-side data collected by a plurality of client devices connected to one or more of the AP devices to access the wireless network. The NMS is configured to correlate the client-side data for a particular client device of the plurality of client devices with a device identifier of the particular client device; associate, based on the device identifier, the client-side data for the particular client device and the AP-side data for the particular client device; analyze the client-side data and the associated AP-side data for the particular client device to detect a wireless issue; and output a notification including an indication of the wireless issue.

Abstract: Techniques are described by which a network management system (NMS) is configured to generate and monitor an RSSI-based proximity zone for a wireless network using a user interface (UI). The NMS may generate a UI comprising UI elements representing access point (AP) devices configured to provide a wireless network at a site; receive, at the user interface, an indication of a user input selecting one or more UI elements representing selected AP devices; establish a proximity zone for each of the selected AP devices based on an RSSI threshold value; receive network data comprising proximity information of a client device relative to the selected AP devices; generate, based on proximity assessments using the proximity information and the RSSI threshold value of the proximity zone, one or more proximity events indicating the client device relation to the proximity zone; and invoke, based on the proximity events, one or more actions.

Abstract: Methods, systems and apparatus for detecting object location and generating alerts are disclosed herein. An example disclosed method includes determining an assigned area for an object being handled by a loader; detecting a first location of the loader; determining whether the first location corresponds to the assigned area for the object; and in response to the first location not corresponding to the assigned area for the object, generating a first output indicative of a difference between the first location and the assigned area for the object.

Abstract: Methods, systems and apparatus for detecting object location and generating alerts are disclosed herein. An example disclosed method includes determining an assigned area for an object being handled by a loader; detecting a first location of the loader; determining whether the first location corresponds to the assigned area for the object; and in response to the first location not corresponding to the assigned area for the object, generating a first output indicative of a difference between the first location and the assigned area for the object.

Abstract: Methods, systems and apparatus for detecting object location and generating alerts are disclosed herein. An example disclosed method includes determining an assigned area for an object being handled by a loader; detecting a first location of the loader; determining whether the first location corresponds to the assigned area for the object; and in response to the first location not corresponding to the assigned area for the object, generating a first output indicative of a difference between the first location and the assigned area for the object.