Various example embodiments for providing device application support are presented. In at least some example embodiments, device application support may be configured to support device programmability. In at least some example embodiments, device application support may be configured to support device programmability for enabling a customer that operates a device to develop a customer application for the device and to run the customer application on the device. In at least some example embodiments, device application support may be provided in a manner for enabling a customer to develop and run a customer application for a device without a need for the customer to use a software development kit (SDK) to develop the customer application.

A multitenant infrastructure server (MTIS) is configured to provide an environment to execute a computer routine of an arbitrary application. The MTIS receives a request from a webtask server to execute the computer routine in a webtask container. The computer routine is executed in the webtask container at the MTIS. Upon successful execution of the computer routine, a result set is returned to the webtask server. If the execution of the computer routine is unsuccessful, an error notification is returned to the webtask server. The resources consumed during the execution of the computer routine are determined. The webtask container is destroyed to prevent persistent storage of the computer routine on the MTIS.

A user may interact with a collection of devices that each exhibit particular device properties. Where each device executes and presents an isolated computing environment, inconsistencies may arise in the user interaction by the user with different devices. Alternatively, a terminal server may present a computing environment to various auxiliary devices, but such presentation may fail to utilize some device properties of some devices, and/or may present a computing environment that is not suitable for some devices. Instead, a primary device of the device collection may adapt a primary computing environment to an auxiliary computing environment for each auxiliary device, based upon its device properties. Upon receiving a request to execute an application, the primary device may execute the application within the auxiliary computing environment, and may adapt the application based upon the device properties. The primary device may stream each auxiliary computing environment to the respective auxiliary device.

Systems, computer program products, and methods are described herein for implementing data analytics in a mainframe environment. The present invention is configured to determine one or more data analytics resources associated with natural language processing algorithms; initiate one or more compiler protocols on the one or more data analytics resources to build one or more executable code for the one or more data analytics resources capable of being executed on a mainframe environment; establish a communication link with a job control language (JCL) subsystem associated with the mainframe environment; transmit the one or more executable code for the one or more data analytics resources to the JCL subsystem; generate one or more job control statements configured to be executable on the mainframe environment; generate a log of the one or more job control statements; and initiate an execution of the one or more job control statements on the mainframe environment.

A system and method for dynamically configuring a virtual machine to accommodate requests of a microservice application program and executing the microservice application program in the virtual machine with optimal computing resources are provided. The method includes: creating a dynamically configurable virtual machine including a first virtual CPU, receiving microservice application code, linking the microservice application code to generate executable code, determining and assigning memory in the dynamically configurable virtual machine for executing the executable code, executing the executable code using the dynamically configurable virtual machine, determining whether the dynamically configurable virtual machine requires reconfiguration and performing reconfiguration of the dynamically configurable virtual machine responsive to determining that the virtual machine requires reconfiguration.

A frontend of a platform of a multiplatform system can be monitored for user input. Upon receiving a user input that includes particular content, a data object describing the context in which the user input was provided may be created. One or more automations may be selected from an automation database based on a similarity to the determined context. The selected automations can be automatically displayed for the user, thereby encouraging the user to leverage automations across multiple platforms without requiring the user to switch between different platforms and without requiring the user to learn or understand platform-specific automation engines.

One disclosed method involves receiving, by a first application managed by an operating system, first data indicating that a second application managed by the operating system is in a first state; receiving, by the first application, second data indicating that a first user input has been provided to a client device; determining, by the first application and based at least in part on the first data and the second data, that the first user input occurred while the second application was in the first state; and causing, by the first application and based at least in part on the first user input having occurred while the second application was in the first state, the client device to present a first user interface for a third application, the first user interface configured to cause the third application to take a first action with respect to a fourth application in response to a second user input to the client device.

A method for executing a task by a scheduling device, belonging to the technical field of electronics. The method includes: acquiring a target algorithm corresponding to a target task to be executed; acquiring an execution environment condition for a target algorithm, and current execution environment information of various execution devices; in the execution devices, determining a target execution device of which the execution environment information satisfies the execution environment condition; and sending a control message for executing the target task to the target execution device.

A method includes detecting, by a computing device, activation of a link to content served by a remote server, and in response to detecting activation of the link, attempting to load a passive mixed content item from the computing device. The method also includes determining whether the passive mixed content item successfully loaded. The method further includes, in response to determining the passive mixed content item successfully loaded, accessing, using an application on the computing device, the content from the remote server. In addition, the method includes, in response to determining the passive mixed content item did not successfully load, accessing, using a web browser, the content from the remote server.

A multitenant infrastructure server (MTIS) is configured to provide an environment to execute a computer routine of an arbitrary application. The MTIS receives a request from a webtask server to execute the computer routine in a webtask container. The computer routine is executed in the webtask container at the MTIS. Upon successful execution of the computer routine, a result set is returned to the webtask server. If the execution of the computer routine is unsuccessful, an error notification is returned to the webtask server. The resources consumed during the execution of the computer routine are determined. The webtask container is destroyed to prevent persistent storage of the computer routine on the MTIS.