In an embodiment computer-readable training data records characterizing operation of a communication network may be used to train a machine learning (ML) model of network performance to predict expected performance characteristics, each training data record including operational features and observed performance characteristics of the communication network. The ML model may compute mappings of feature-values pairs to predicted performance characteristics. For a first subset of training data records, a fair distribution of first quantitative contributions of operational features of predicted performance characteristics may be computed, the first subset representing a baseline of observed performance characteristics. For a second subset of training data records, a fair distribution of second respective quantitative contributions of predicted performance characteristics may be computed, the second subset representing a problematic performance characteristic. Comparing the first and second quantitative contributions may determine a degradation metric for associating operational features of the second subset with the problematic performance characteristic.

In one embodiment, a method includes identifying a problematic event between a first interest point and a second interest point of a network and activating, in response to identifying the problematic event between the first interest point and the second interest point, a first endpoint associated with the first interest point and a second endpoint associated with the second interest point. The method also includes receiving, from the first endpoint and the second endpoint, telemetry data associated with a problematic path between the first interest point and the second interest point. The method further includes determining the problematic path between the first interest point and the second interest point using the telemetry data received from the first endpoint and the second endpoint.

In one embodiment, a device obtains test results for tests targeted at a web application, the tests performed by a plurality of agents. The device maps a portion of the test results to a component of the web application based on identifying information within the portion of the test results. The device makes, based on the portion of the test results that are mapped to the component of the web application, a determination that the component of the web application is experiencing an outage. In one embodiment, the device causes, based on the determination that the component of the web application is experiencing the outage, a mitigation action for the outage.

In one embodiment, a device obtains test results for tests targeted at a web application, the tests performed by a plurality of agents. The device maps a portion of the test results to a component of the web application based on identifying information within the portion of the test results. The device makes, based on the portion of the test results that are mapped to the component of the web application, a determination that the component of the web application is experiencing an outage. In one embodiment, the device causes, based on the determination that the component of the web application is experiencing the outage, a mitigation action for the outage.

This application discloses a forwarding entry monitoring method and apparatus, to quickly determine a changed forwarding entry, thereby improving locating efficiency. The method includes: determining, by a first node, a monitored data stream; determining, by the first node, that a stored forwarding entry changes, where the forwarding entry is used to forward the data stream; and sending, by the first node, a first packet to a second node. The second node is located on a transmission path of the data stream, and the second node is a previous-hop node of the first node. The first packet carries a change instruction.

The embodiments of the present application provide a network monitoring method, an electronic device and a storage medium. The method includes: in response to receiving abnormal information reported by a network node, determining a suspicious region according to the abnormal information, the abnormal information is transmitted to the network management system from the network node in response to detecting by the network node that a network transmission index is abnormal; transmitting an acquisition instruction to the network node within the suspicious region, wherein the acquisition instruction includes an order for acquiring a device performance index of the network node; receiving the device performance index returned, in response to the acquisition instruction, by the network node within the suspicious region; and generating an abnormality analysis report according to the device performance index.

The embodiments of the present application provide a network monitoring method, an electronic device and a storage medium. The method includes: in response to receiving abnormal information reported by a network node, determining a suspicious region according to the abnormal information, the abnormal information is transmitted to the network management system from the network node in response to detecting by the network node that a network transmission index is abnormal; transmitting an acquisition instruction to the network node within the suspicious region, wherein the acquisition instruction includes an order for acquiring a device performance index of the network node; receiving the device performance index returned, in response to the acquisition instruction, by the network node within the suspicious region; and generating an abnormality analysis report according to the device performance index.

A fault locating method, apparatus and system based on I2C communication. The system comprises a power supply module, a substrate management controller, a fixture and a processor, wherein the power supply module and the substrate management controller are connected by means of a fixture, and the I2C bus is led out through the fixture and connected to the processor; the processor acquires state data information of the power supply module during the normal I2C communication with the substrate management controller, and converting the data type of the state data information to a data type of a preset format; and when it is detected that a failure has occurred in the power supply module, a failure code is located according to the state data information. A fault occurring during I2C communication between a BMC and a PSU can be located efficiently, and effectively improving the efficiency of fault solving.

A fault locating method, apparatus and system based on I2C communication. The system comprises a power supply module, a substrate management controller, a fixture and a processor, wherein the power supply module and the substrate management controller are connected by means of a fixture, and the I2C bus is led out through the fixture and connected to the processor; the processor acquires state data information of the power supply module during the normal I2C communication with the substrate management controller, and converting the data type of the state data information to a data type of a preset format; and when it is detected that a failure has occurred in the power supply module, a failure code is located according to the state data information. A fault occurring during I2C communication between a BMC and a PSU can be located efficiently, and effectively improving the efficiency of fault solving.

An aspect of the present disclosure acquires topology information representing a connection configuration between a plurality of apparatuses constituting a communication network and event information representing occurrence statuses of an event by the plurality of apparatuses, estimates, based on the topology information and the event information, a first apparatus corresponding to a failure factor location from among the plurality of apparatuses, estimates, based on an occurrence status of the event by a second apparatus whose connection relationship with the first apparatus estimated is defined by the topology information, whether an occurrence of the event by the second apparatus is caused by the failure factor location or by another anomaly, and estimates, based on a relationship between an occurrence status of the event by the first apparatus and an occurrence status of the event by a third apparatus whose connection relationship with the first apparatus is not defined by the topology information, whether an occurrence of the event by the third apparatus is caused by the failure factor location or by another anomaly.