Abstract: Techniques for automatically generating an API in response to a natural language input are provided. A method includes: receiving, by a processor set, a natural language input provided via a conversational user interface of a client device; determining, by the processor set, requirements of a new application programming interface (API) by analyzing the natural language input using natural language understanding; and automatically generating, by the processor set, the new API based on the requirements.

Abstract: In an approach to enhancing server virtualization through host sessions by re-screening a remote desktop session of a target virtual machine. Embodiments, identify, on a computer system, an open remote desktop window corresponding to the remote desktop session, and determine, by the computer system, whether one or more second remote desktop windows are embedded in the open remote desktop window. Further, embodiments identify, from the one or more second remote desktop windows, a target remote desktop window associated with the target virtual machine and generate an overlay on the open remote desktop window based on the identification of the target remote desktop window associated with the target virtual machine. Additionally, embodiments capture activity on a remote desktop screen associated with the generated overlay, and executes the captured activity on the generated overlay.

Abstract: Systems, methods, and computer programming products leveraging recurrent neural network architectures to proactively predict workload demand of container orchestration platforms. The platform continuously collects metric data from clusters of the platform and train multiple parallel neural networks with different architectures to predict future platform workload demands. At periodic intervals, the registered neural networks in consideration for controlling the scaling operations of the platform are compared against one another to identify the neural network demonstrating the highest performance and/or most accurate workload prediction strategy for scaling the orchestration platform. The selected neural network is enforced as controller for the platform to implement the workload prediction strategy.

Abstract: Described are techniques for testing robotic process automation (RPA) bots. The techniques including a system comprising a computational environment configured to present a graphical user interface (GUI) on a display. The system further comprises an application configured to run on the computational environment. The system further comprises a robotic process automation (RPA) bot configured to execute tasks on the application using the GUI. The system further comprises an autonomous robot tester (ART) bot configured to execute a plurality of tests to disrupt the RPA bot by manipulating the GUI.

Abstract: A tool for network-based package monitoring and recovery. The tool scans a database to identify a gap in network traffic data. The tool determines whether at least one gap in the network traffic data is identified in the database, wherein the at least one gap is a gap in communication between a target device and a communication serve. Responsive to a determination that at least one gap in the network traffic data is identified, the tool determines a missing package from a package archive. The tool determines whether there is active network traffic between the target device and the communication server. Responsive to a determination that there is active network traffic between the target device and the communication server, the tool replays the missing package in the active network traffic between the target device and the communication server.

Abstract: In an approach to improve data migration in application performance monitoring, embodiments execute a synthetic transaction to monitor an application, and monitor network traffic during the execution of the synthetic transaction. Further, embodiments extract a plurality of parameters indicative of the synthetic transaction from the network traffic, and generate a script, based on the extracted plurality of parameters and a predetermined template, that generates the synthetic transaction.

Abstract: In an approach to enhancing server virtualization through host sessions by re-screening a remote desktop session of a target virtual machine. Embodiments, identify, on a computer system, an open remote desktop window corresponding to the remote desktop session, and determine, by the computer system, whether one or more second remote desktop windows are embedded in the open remote desktop window. Further, embodiments identify, from the one or more second remote desktop windows, a target remote desktop window associated with the target virtual machine and generate an overlay on the open remote desktop window based on the identification of the target remote desktop window associated with the target virtual machine. Additionally, embodiments capture activity on a remote desktop screen associated with the generated overlay, and executes the captured activity on the generated overlay.

Abstract: A processor may analyze a communication associated with a simulation program. The processor may determine whether the simulation program is running. The processor may capture at least one request/response pair in the communication. The processor may store the at least one request/response pair. The processor may train at least one registered natural language processing provider with the request/response pair.

Abstract: A tool for network-based package monitoring and recovery. The tool scans a database to identify a gap in network traffic data. The tool determines whether at least one gap in the network traffic data is identified in the database, wherein the at least one gap is a gap in communication between a target device and a communication serve. Responsive to a determination that at least one gap in the network traffic data is identified, the tool determines a missing package from a package archive. The tool determines whether there is active network traffic between the target device and the communication server. Responsive to a determination that there is active network traffic between the target device and the communication server, the tool replays the missing package in the active network traffic between the target device and the communication server.

Abstract: Systems, methods, and computer programming products leveraging recurrent neural network architectures to proactively predict workload demand of container orchestration platforms. The platform continuously collects metric data from clusters of the platform and train multiple parallel neural networks with different architectures to predict future platform workload demands. At periodic intervals, the registered neural networks in consideration for controlling the scaling operations of the platform are compared against one another to identify the neural network demonstrating the highest performance and/or most accurate workload prediction strategy for scaling the orchestration platform. The selected neural network is enforced as controller for the platform to implement the workload prediction strategy.

Abstract: Described are techniques for testing robotic process automation (RPA) bots. The techniques including a system comprising a computational environment configured to present a graphical user interface (GUI) on a display. The system further comprises an application configured to run on the computational environment. The system further comprises a robotic process automation (RPA) bot configured to execute tasks on the application using the GUI. The system further comprises an autonomous robot tester (ART) bot configured to execute a plurality of tests to disrupt the RPA bot by manipulating the GUI.