Sap Se

Dell Products Inc.

Jia Wang

Xiang Fan

Wei Chen

Xia Yu

Tianming Zhang

You Li

Fangling Liu

Yuna Hou

Carl Shi

Wenle Zhao

Wenbing Duan

Xudong Liu

Tianhao Liu

Haiyang Xu

Jason Ye

Various embodiments for deduplication of APIs using similarity measures and artificial intelligence are described herein. An embodiment operates by receiving a request to compare a first computing program to a second computing program, wherein each computing program includes an address, one or more tables accessed by a respective computing program, one or more input parameters, and one or more output parameters. Similarity measures are calculated between the addresses, tables, input parameters, and output parameters of the two computing programs. The similarity measures are provided to a trained artificial intelligence (AI) model, which generates a similarity determination. Performed an action based on the similarity determination.

Deduplication of computer programs using similarity measures and artificial intelligence

Disclosed systems and methods include or support a message logging service in which, responsive to receiving an event message generated by a business function, the message is logged in accordance with a message severity, one or more severity level attributes of the system, and one or more message logging criterion. Responsive to determining the message severity meets a first criterion, the message may be routed to and saved within a first persistent log file. Responsive to determining the message severity satisfies a second criterion, the message may be temporarily stored to a FIFO message queue, for possible inclusion in a second persistent log file. A health monitoring service for monitoring application programs corresponding to various business functions, upon detecting a degraded health state of a business function, may cause messages stored in the message queue to be dumped to a second persistent log file.

Managing audit logs in a production environment

Computer-readable media, methods, and systems are disclosed for automatic generation of dynamic application trace logs associated with a running application. A log viewer presents application log entries associated with an application execution log having been generated in connection with a previous execution of the running application. The application execution log is analyzed to identify application execution log context descriptors. The application execution log context descriptors are extracted from the application execution log. The application execution log context descriptors are transmitted to the running application. Matching templates that match each of the one or more application execution log context descriptors are received from the running application. The tracing templates that have an associated context relevance score are received from the running application. Finally, the log viewer displays the tracing templates based on the associated context relevance score and starts a trace based on a selected tracing template.

On-demand contextual trace log generation

Growing community of inventors

Shanghai, China

Jia Wang