Embodiments provide enhanced performance diagnosis in a network computing environment. In response to an occurrence of a performance issue for a node while under operating conditions, common logs for applications on the node are analyzed. The applications are respectively registered in advance for diagnosis services. The applications each register rules in advance for the diagnosis services. At a time of the performance issue, debug programs are automatically issued to generate debug level logs respectively for the applications. Debug level logs are analyzed according to the rules to determine a root cause of the performance issue. A potential solution to the root cause of the performance issue is determined using the rules, without having to recreate the operating conditions occurring during the performance issue. The potential solution to rectify the root cause of the performance issue is executed without having to recreate the operating conditions occurring during the performance issue.

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 method of monitoring an automation script modifying software on a server. The method of monitoring comprises monitoring a server for an active customer process by a master application executing on a computer, starting an automation script with multiple sequential instructions for updating the software executing on the server by the master application, monitoring a resultant condition of the automation script after each instruction by the master application, creating a readable log of the resultant condition of the automated script by the master application after each instruction, and generating a user notification with an actionable link by the master application in response to a failure condition of the automated script. When the user activates the actionable link, the master application opens a screen group that includes a screen for instructions to the server from the master application.

A security processor includes a key generator circuit configured to randomly generate a key, an encryption circuit configured to encrypt user data based on the key, and a security manager circuit configured to receive a first user identification (ID), which uniquely corresponds to a user of a device, and determine whether to allow access to the user data by authenticating the first user

ID.

A system and method for real-time or near real-time anomaly detection and root cause automation in production environments or in other environments using shrunk dynamic call graphs are provided. The system includes an instrumentation agent that generates shrunk dynamic call graphs and exceptions/errors by injecting monitoring code or probes or call-tags into monitored application, a data agent that forwards collected data to the analysis engine over a network, an analysis engine that performs continuous clustering using machine learning, anomaly, and root cause detection. The system also includes a reporting module to report the anomaly.

The present invention provides a system, computer readable code and method for dynamically performing debugging. The system, code, and method store debugging logs throughout an operation. At predetermined points the logs are stored to a cache. Older and/or unnecessary logs are periodically deleted from the cache to ensure that the cache does not grow to be larger than a predetermined size. This avoids the need to re-run a scenario after an error occurs in order to produce troubleshooting/debugging information.

An electronic evaluation device and method thereof for optimizing an operation of computer-controlled metric appliances in a network. The method includes determining whether a fault associated with computer-controlled metric appliance is valid based on a feedback received in real time from a validation entity and updating pre-defined programmable instructions assigned to the computer-controlled metric appliance in response to determining that the fault is invalid. The predefined programmable instructions are used to determine whether the computer-executable metric is achieved or not. The method includes applying a machine learning model on the plurality of parameters and the computer-executable goal to determine a computer-executable task list to be assigned to the computer-controlled metric appliance in order to achieve the computer-executable goal.

Validating actions in a digital assistant-based application is provided. The system identifies an application with a conversational interface. The system selects an action from an action repository and generates, via a natural language processor, a trigger phrase for input into the application. The system executes the application to process the trigger phrase to identify an action of the application. The system identifies a parameter used by the application to execute the action, and generates, based on the parameter and via execution of the conversational interface of the application, a first query responsive to the trigger phrase. The system generates a first response to the first query for input into the application. The system determines, based on execution of the application to process the first response, a state of the application. The system evaluates the state to determine an error code and provide a notification based on the error code.

Examples described herein include systems and methods for fuzz testing low-level virtual devices and virtual devices with DMA write functionality. A fuzz tester includes components distributed across a virtual machine and its host system. The fuzz testing components in the virtual machine are implemented as firmware installed in the virtual machine's ROM. These components operate independent of data stored in the virtual machine's RAM and do not require an operating system to be installed on the virtual machine. As a result, any changes made to the virtual machine's RAM during the fuzzing process by low-level virtual devices or virtual devices with DMA write functionality cannot interrupt the fuzz testing or otherwise negatively impact the fuzz tester itself.

Exemplary embodiments provide computer-implemented methods, mediums, and apparatuses configured to provide an interactive analytical method debugger for an analytical laboratory system. The analytical laboratory system may include a laboratory analytical device with a number of settings, parameters, etc. The laboratory analytical device may process a sample according to an analytical method that (among other things) defines a configuration for the device. The settings for the method may be organized into categories. The interactive debugger identifies problems with the method (e.g., incompatibilities, values out of range, etc.) and automatically allow the user to view the category of the method that is relevant to addressing the issue. Possible solutions may be proposed in the debugger interface, allowing the user to quickly identify and address the problem. Embodiments are particularly well-suited to situations where a method is ported from an old device to a new device.