Systems and methods for monitoring, reporting, and notification of media processing entities using system variables and events are provided. According to embodiments, schemes for the monitoring, reporting, and notification may be created, updated, and deleted using a media processing entity (MPE) application programming interface (API). According to embodiments, based on the scheme being implemented by an MPE, a value of a variable of the MPE or a status of an event of the MPE, during the monitoring, or as a part of the reporting, or as a part of the notification may be sent by the MPE and received.

A remote monitoring system for medical data collection can include a data-flagging process embeds authorization and settings information into a file containing the test results. Such data flagging can occur at a medical device or testing site, and may be based in policy settings received from a remote system. A file containing the test results can also include data category information that can be used to protect sensitive information by preventing such information from being communicated to the wrong server.

A remote monitoring system for medical data collection can include a data-flagging process embeds authorization and settings information into a file containing the test results. Such data flagging can occur at a medical device or testing site, and may be based in policy settings received from a remote system. A file containing the test results can also include data category information that can be used to protect sensitive information by preventing such information from being communicated to the wrong server.

Automatically detecting whether sessions are routed through proxy servers is provided. The system identifies a log with session information generated by a device for a session established between a client and a server traversing the device. The system compares a source internet protocol (“IP”) address for the session identified from the log with IP addresses of proxy servers. The system updates, responsive to a match based on the comparison, the log with an indication that the session was routed through a proxy server.

Automatically detecting whether sessions are routed through proxy servers is provided. The system identifies a log with session information generated by a device for a session established between a client and a server traversing the device. The system compares a source internet protocol (“IP”) address for the session identified from the log with IP addresses of proxy servers. The system updates, responsive to a match based on the comparison, the log with an indication that the session was routed through a proxy server.

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.

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.

Systems and methods of managing computing resources of a computing system are described. A computing resource list and computing resource information may be stored at a data store. The computing resource list may identify a set of computing resources of a computing system, and the computing resource information may respectively describe the computing resources. The computing resource list may be updated in response to a new computing resource being added to the computing system or in response to an existing computing resource being removed from the computing system. Evaluation tasks for the computing resources may be performed, and a resource evaluation report may be generated during performance of at least one of the evaluation reports.

A distributed security system can include instances of a compute engine that can execute either locally in security agents on client devices or as cloud instances in a security network. Event data can be processed by elements of the distributed security system according to centrally-defined ontological definitions and/or configurations. Bounding managers of local security agents can control how much event data is sent to the security network. A storage engine in the security network can store event data received from client devices, can route event data to other elements of the security network, including cloud instances of the compute engine. An experimentation engine of the security network can also at least temporarily adjust other elements of the distributed security system during experiments or tests.