Embodiments of this application describe a retransmission timeout (RTO) determining method and a related apparatus. The method includes a transmission device sending, to a network analyzer, a network throughput at which communication is performed through a first communication connection, where the network throughput is used by the network analyzer to determine an RTO corresponding to the first communication connection. The network analyzer obtains a first network throughput at which the transmission device performs communication through the first communication connection. The network analyzer calculates, based on the first network throughput, a first RTO corresponding to the first communication connection. The network analyzer sends the first RTO to the transmission device. The transmission device receives the first RTO sent by the network analyzer. The embodiments of this application help improve efficiency of retransmitting a lost data packet.

According to one or more embodiments of the disclosure, a particular networking device joins a ring network of networking devices that has a ring topology. The particular networking device monitors the ring network for a multicast frame used within the ring network to detect link failures. The particular networking device determines that a link in the ring network has failed, based on the particular networking device not receiving the multicast frame within a threshold amount of time. The particular networking device initiates repair of the ring network, when the particular networking device determines that the link in the ring network has failed.

According to one or more embodiments of the disclosure, a particular networking device joins a ring network of networking devices that has a ring topology. The particular networking device monitors the ring network for a multicast frame used within the ring network to detect link failures. The particular networking device determines that a link in the ring network has failed, based on the particular networking device not receiving the multicast frame within a threshold amount of time. The particular networking device initiates repair of the ring network, when the particular networking device determines that the link in the ring network has failed.

The disclosed technology includes a health engine that monitors and modifies customer-premises equipment (CPE) devices. The health engine can detect patterns in CPE device behavior, identify problems with CPE devices, and adjust CPE device configurations proactively or reactively to address problems or prevent problems. In some implementations, the health engine can instruct a CPE device or gateway to restart, update its software or firmware, notify a user of the CPE device of an unhealthy behavior pattern in a CPE device. The health engine can modify a CPE device prior to a user using the device or when the CPE device is inactive.

The disclosed technology includes a health engine that monitors and modifies customer-premises equipment (CPE) devices. The health engine can detect patterns in CPE device behavior, identify problems with CPE devices, and adjust CPE device configurations proactively or reactively to address problems or prevent problems. In some implementations, the health engine can instruct a CPE device or gateway to restart, update its software or firmware, notify a user of the CPE device of an unhealthy behavior pattern in a CPE device. The health engine can modify a CPE device prior to a user using the device or when the CPE device is inactive.

In the present disclosure, a network monitoring system is provided including an IP network monitoring unit (610) that monitors an IP network to which an IP device is connected; and a non-IP device monitoring unit (630) that monitors a non-IP device. It is possible to monitor both the IP network and the non-IP device in a system that includes the IP network including the IP device and the non-IP device.

Techniques for monitoring enterprise networks with endpoint agents are disclosed. In some embodiments, a system, process, and/or computer program product for monitoring enterprise networks with endpoint agents includes deploying a plurality of endpoint agents to a plurality of endpoint devices; collecting test results from each of the plurality of endpoint agents, wherein the test results are based on tests executed on each of the plurality of endpoint devices for monitoring network activity; and generating a graphical visualization of an application delivery state for one or more application delivery layers based on the test results, generating an alert based on the test results, or generating a report based on the test results.

A system for monitoring a plurality of machines of a facility is disclosed. The system comprises a plurality of data network devices configured to communicate with one another via at least one network. The data network devices are configured to collect machine data from the plurality of machines and distribute the machine data via the at least one network. The system further comprises data display devices configured to provide a graphical user interface that enables a user to view and analyze the machine data that is collected and distributed by the data network devices.

Embodiments of the present disclosure provide systems, methods, and non-transitory computer storage media for detecting abnormal behavior of device in an enterprise network based on an analysis of behavioral information of the device's neighbors in network. At a high level, embodiments of the present disclosure employ a hive-mind approach to determine anomalous behavior of a device in a network based on analyzing behavior information reported by neighboring devices within the network. Embodiments identify that a device is alive and connected within the network based on multiple neighboring devices reporting behavioral information about the device; however, the device may be dysfunctional and failing to report its own information. By aggregating and analyzing behavioral information of a device based on the reporting information of its neighboring devices, embodiments of the present disclosure are able to determine whether a device is healthy even when the device is unable to report its own information.

Embodiments of the present disclosure provide systems, methods, and non-transitory computer storage media for detecting abnormal behavior of device in an enterprise network based on an analysis of behavioral information of the device's neighbors in network. At a high level, embodiments of the present disclosure employ a hive-mind approach to determine anomalous behavior of a device in a network based on analyzing behavior information reported by neighboring devices within the network. Embodiments identify that a device is alive and connected within the network based on multiple neighboring devices reporting behavioral information about the device; however, the device may be dysfunctional and failing to report its own information. By aggregating and analyzing behavioral information of a device based on the reporting information of its neighboring devices, embodiments of the present disclosure are able to determine whether a device is healthy even when the device is unable to report its own information.