Disclosed here is a system to automatically predict and resolve issues within a telecommunication network. Initially, the system builds a service registry to store dependence information within the network, which can include software components and hardware components. Various components of the network create logs of their operations. Machine learning models examine the logs and detect any issues. Upon detecting an issue or abnormal event, the system can automatically resolve the issue by determining the most similar issue occurring previously and determining a solution that resolved the previous most similar issue. In addition, the system can propagate the fix to dependent systems and/or notify the dependent systems of the issue.

Disclosed here is a system to automatically predict and resolve issues within a telecommunication network. Initially, the system builds a service registry to store dependence information within the network, which can include software components and hardware components. Various components of the network create logs of their operations. Machine learning models examine the logs and detect any issues. Upon detecting an issue or abnormal event, the system can automatically resolve the issue by determining the most similar issue occurring previously and determining a solution that resolved the previous most similar issue. In addition, the system can propagate the fix to dependent systems and/or notify the dependent systems of the issue.

Topology discovery of a target system having a plurality of components coupled with a scan topology may be performed by driving a low logic value on the data input signal and a data output signal of the scan topology. An input data value and an output data value for each of the plurality of components is sampled and recorded. A low logic value is then scanned through the scan path and recorded at each component. The scan topology may be determined based on the recorded data values and the recorded scan values.

In an example, a network device may receive a L3VPN packet of which an egress label edge router (LER) is the network device, and acquire an adjacency index of an adjacency entry in an adjacency table according to the destination IP address of the inner IP datagram from the L3VPN packet. The network device may acquire a PW extended index of a PW extended entry in a PW extended table and a private network layer-2 header for the inner IP datagram from an adjacency entry having the adjacency index. By using the private network layer-2 header and a public network label, a private network label and a public network layer-2 header in a PW extended entry having the PW extended index, the network device may encapsulate the inner IP datagram into a L2VPN packet and forward the L2VPN packet through a physical egress interface in the PW extended entry.

A multi-tenant media processing platform system and method. At least a first media analysis service of a plurality of media analysis services is activated for at least a portion of an active communication session of an entity in the platform system. The first activated media analysis service performs a first media analysis on media of the active communication session that is collected by the platform system. The first activated media analysis service performs the first media analysis on the collected media while the communication session is active to generate a first media analysis result. During the active communication session, at least one media analysis result is applied.

A device may monitor a communication between network devices for an error associated with the communication. The device may detect the error associated with the communication between the network devices. The device may perform a comparison of an error metric and a threshold error metric. The error metric may be associated with the error. The device may determine whether the comparison indicates that the error metric satisfies the threshold error metric. The device may identify a source of the error using a loopback test based on determining whether the comparison indicates that the error metric satisfies the threshold error metric. The device may provide error source information based on identifying the source of the error. The error source information may identify the source of the error.

A computer readable storage medium, system and method for improving automated testing systems to include a first and second behavioral data. The first behavioral data is collected periodically and the second behavioral data is collected in real time. The receipt of the first behavioral data and a second behavioral data are followed by the receipt of a system configuration template. A test case is updated based on the first and second behavioral data, and an automated test environment is reconfigured based on the first behavioral data, second behavioral data, and the system configuration template. The test executes in the automated test environment producing a test result.

The present disclosure generally discloses a testing capability related to service testing in a communication network. The testing capability may be configured to support debugging of failures identified during service validation testing of a service in a communication network. The testing capability may be configured to support debugging of failures (e.g., transmission failures or the like) associated with a failed service validation test (e.g., a transmission verification test or the like). The testing capability may be configured to support debugging of failures identified during service validation testing of an Ethernet service. The testing capability may be configured to support debugging of failures (e.g., frame loss or the like) identified during service validation testing of an Ethernet service where the service validation testing of the Ethernet service is performed based on International Telecommunication Union (ITU)-Standardization (ITU-T) Y.1564, which is an Ethernet-based service activation test methodology.

A computer-implemented method includes scanning a clip of messages that includes message requests and message responses arranged in a sequence. The scanning is performed based on one or more search parameters and produces a list of one or more name/value pairs. The clip is utilized to perform a load test on a target website. Each name/value pair has a corresponding value. For each name/value pair in the list a message request in the clip is identified where the corresponding value is first used. Then, looking backwards in the sequence from the message request where the corresponding value is first used, prior message responses are located where the corresponding value is found. An extraction point is specified in the clip for the corresponding value as a latest message response in the sequence where the corresponding value was returned from the target website. The corresponding value is then stored as a property.

Presented herein are techniques performed in a network comprising a plurality of network nodes each configured to apply one or more service functions to traffic that passes the respective network nodes in a service path. At a network node, an indication is received of a failure or degradation of one or more service functions or applications applied to traffic at the network node. Data descriptive of the failure or degradation is generated. A previous service hop network node at which a service function or application was applied to traffic in the service path is determined. The data descriptive of the failure or degradation is communicated to the previous service hop network node.