Ghost routing is a network verification technique that uses a portion of a production network itself to verify the impact of potential network changes. Ghost routing logically partitions the production network into a main network and a ghost network. The main network handles live traffic while the ghost network handles traffic generated for diagnostic purposes. The ghost network may have a network topology identical to the production network and may use the same hardware and software as the production network. An operator may implement a network configuration change on the ghost network and then use verification tools to verify that the network configuration change on the ghost network does not result in bugs. Verifying on the ghost network may not affect the main network. If the network operator verifies the network configuration change on the ghost network, the network operator may implement the network configuration change on the main network.

The system described herein can automatically match, link, or otherwise associate electronic activities with one or more record objects. For an electronic activity that is eligible or qualifies to be matched with one or more record objects, the system can identify one or more set of rules or rule sets. Using the rule sets, the system can identify candidate record objects. The system can then rank the identified candidate record objects to select one or more record objects with which to associate the electronic activity. The system can then store an association between the electronic activity and the selected one or more record objects.

Network tool optimizers for server cloud networks and related methods are disclosed. In part, master filters are defined to segregate and control user traffic, and user filters are defined to forward the user traffic to cloud-based network tools or tool instances. A master user interface and user interfaces for each user are provided so that the master filters and user filters can be defined and managed. A filter rules compiler within the cloud-based network tool optimizer then combines the master filters with the user filters, resolves conflicts in favor of the master filters, and generates filter engine rules that are applied to filter engines within the network tool optimizer for the cloud network. The filter engines then forward packets received at input ports for the network tool optimizer to output ports for the network tool optimizer that are coupled to network tools or tool instances within the cloud network.

Technology described herein determines whether a device is Internet facing. An Internet facing device is a device where traffic coming from the Internet is routable to the device. The technology described herein may comprise two components that work together to identify Internet-facing devices. The first component is a monitoring agent installed on organizational devices. The second component is an Internet-facing management service, which may be cloud based. The monitoring agent communicates connection-event notices to the Internet-facing management service. The source IP address in the connection-event notice is compared to a list of organizational IP addresses. If the source IP address is not on the list, then the computing device associated with the notice is added to a list of Internet-facing devices because the connection originated from the Internet. Software listed in the connection-event notice may be added to a list of internet-facing software instances.

The disclosed system and method obtain a report of an issue reported by a user of the wireless telecommunication network, and historical information associated with the user and the wireless telecommunication network. The historical information includes multiple issues reported by users similar to the user, and multiple user statuses associated with the users similar to the user. The user status among the multiple user statuses includes active and inactive, indicating whether the user is an active member of the telecommunication network or has left the network. The system provides the historical information to an AI model, and obtains from the AI model a priority associated with the issue experienced by the user. The system causes a resolution of the issue based on the priority.

The measuring system comprises a measuring device and a device under test (9). This measuring device comprises a high-frequency processing unit (11), which is embodied to receive high-frequency signals from the device under test (9) and/or to transmit high-frequency signals to the device under test (9) via a first connection (5). The measuring system further comprises a test-software server unit (12), which is embodied to supply test-software to the device under test (9).

Systems, computer program products, and methods are described herein for the parallel testing of multiple data processing channels. The present invention may be configured to generate a data packet, send the data packet to a processing channel for processing at a send time, receive the processed data from the processing channel at a return time, determine the percent accuracy for the processed data from the processing channel, and record the send time, return time, and percent accuracy in an analytics system. The present invention may also be configured to determine the security of the processing channel and record the security in the analytics system.

Various methods and systems for facilitating network traffic monitoring in association with an application running on a client device are provided. In this regard, aspects of the invention facilitate monitoring network traffic being transmitted to and/or from a client device, such as a mobile device, so that network performance can be analyzed. In various implementations, packet headers of data packets are read to obtain or extract desired network metrics that indicate network performance. Packet headers are generally read to the extent necessary to identify various network data. As such, by avoiding examination of a packet payload and, in some cases, examination of the entire header, the efficiency of monitoring network traffic at a client device is improved.

A computer implemented method for displaying a user interface in a monitoring system for monitoring a number of slave devices in a network by a master device includes the steps of: writing software code for monitoring a number of slave devices in a network; defining at least one display template with a number of data fields in the software code; compiling the software code including the defined display template; running the compiled software code; and while running the compiled software code on the master device, performing the steps of: selecting a slave device by a user from a list of slave devices connected to the network; loading and parsing a data file for the selected slave device; activating at least one of the data fields in the at least one display template depending on the parsed data file; and reading data from the selected device.

A data center rack includes a housing, at least one wireless access point (AP) mounted within the housing and wirelessly connectable to a network switch external to the housing, and at least one tray including a plurality of mobile device power connections to provide power to a plurality of mobile devices.