Abstract: A device obtains a plurality of server logs from a plurality of servers, where each server log includes a plurality of log entries, and generates, based on the plurality of log entries, a plurality of data structures, where each data structure includes one or more log entries that concern a server request. The device identifies a set of data structures associated with one or more server errors and processes the set of data structures using an artificial intelligence technique to determine a respective classification score of each data structure. The device determines, based on the respective classification score of each data structure, a respective server error type of each data structure, and causes display of information concerning at least one server error type associated with the set of data structures.

Abstract: A device obtains a plurality of server logs from a plurality of servers, where each server log includes a plurality of log entries, and generates, based on the plurality of log entries, a plurality of data structures, where each data structure includes one or more log entries that concern a server request. The device identifies a set of data structures associated with one or more server errors and processes the set of data structures using an artificial intelligence technique to determine a respective classification score of each data structure. The device determines, based on the respective classification score of each data structure, a respective server error type of each data structure, and causes display of information concerning at least one server error type associated with the set of data structures.

Abstract: A device obtains a plurality of server logs from a plurality of servers, where each server log includes a plurality of log entries, and generates, based on the plurality of log entries, a plurality of data structures, where each data structure includes one or more log entries that concern a server request. The device identifies a set of data structures associated with one or more server errors and processes the set of data structures using an artificial intelligence technique to determine a respective classification score of each data structure. The device determines, based on the respective classification score of each data structure, a respective server error type of each data structure, and causes display of information concerning at least one server error type associated with the set of data structures.

Abstract: A system described herein may use automated techniques to programmatically validate software-under-test (“SUT”) using different sets of test cases for different functions of the SUT. The system may generate the different sets of test cases based on a selected test methodology and a self-description of the SUT function calls, function arguments, and/or argument types. The system may convert the test cases to executable-code and/or network messaging that can be used to call the SUT functions with different input combinations for the arguments and/or argument types of the SUT functions, and that can capture the output that results from each function call.

Abstract: A system described herein may use automated techniques to programmatically validate software-under-test (“SUT”) using different sets of test cases for different functions of the SUT. The system may generate the different sets of test cases based on a selected test methodology and a self-description of the SUT function calls, function arguments, and/or argument types. The system may convert the test cases to executable-code and/or network messaging that can be used to call the SUT functions with different input combinations for the arguments and/or argument types of the SUT functions, and that can capture the output that results from each function call.

Abstract: A device obtains a plurality of server logs from a plurality of servers, where each server log includes a plurality of log entries, and generates, based on the plurality of log entries, a plurality of data structures, where each data structure includes one or more log entries that concern a server request. The device identifies a set of data structures associated with one or more server errors and processes the set of data structures using an artificial intelligence technique to determine a respective classification score of each data structure. The device determines, based on the respective classification score of each data structure, a respective server error type of each data structure, and causes display of information concerning at least one server error type associated with the set of data structures.