Systems and methods for provisioning a new secondary IdentityIQ instance to an existing IdentityIQ instance are disclosed. In one embodiment, a method may include: receiving a request to provision the new secondary IdentityIQ instance; creating a primary IdentityIQ instance for the existing IdentityIQ instance and the new secondary IdentityIQ instance; aggregating data from the existing IdentityIQ instance to the primary IdentityIQ instance; deploying an event handler to the primary IdentityIQ instance to handle incoming requests for the existing IdentityIQ instance; changing a reconciliation process and an audit process from the existing IdentityIQ instance to the primary IdentityIQ instance thereby changing the existing IdentityIQ instance to the secondary IdentityIQ instance for the primary IdentityIQ instance; deploying the new secondary IdentityIQ instance to the primary IdentityIQ instance; and deploying at least one application to the new secondary IdentityIQ instance based on an operation processed by the new secondary IdentityIQ instance.

Methods, systems, and computer readable media for predictive preloading of game data are described. In some implementations, a method can include using a machine learning model of player data to predict which games (or game-related data assets) to begin preloading prior to a user making a game selection. Once the user makes a selection, any preloading not related to the selection can be terminated. Thus, during the time period when the user is viewing available game selections, a given number of selections can begin to be preloaded based on predictions from the machine learning model. The preloading can help reduce latency from game selection by the user to game start time.

A method, computer system, and computer program product are provided for modifying a web application at runtime. A single-page web application is loaded by a web browser of a client, wherein the single-page web application exchanges data between the client and a server. An extension for the single-page web application is obtained. The extension is applied to the single-page web application, wherein applying the extension adds a new feature, or modifies an existing feature, of the single-page web application without reloading the single-page web application.

Techniques are described enabling users to transfer the association of a cloud-managed video encoding or decoding device from one region of a cloud provider network to another. A video processing service of a cloud provider network enables users to purchase video encoding or decoding devices that can be used to encode and reliably transfer video content to the video processing service from locations of the users' choice. The video processing service receives a request to transfer the association of a video encoding or decoding device from one region of the cloud provider to another and the video processing service executes workflows that enable the association of a video encoding or decoding device to be transferred to one region from another.

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 method for providing a location-specific machine learning model from a harbor operating system to an on-board processing system of a vessel is provided. The method includes predetermining a geographical area of an area of a harbor, creating communication between the harbor operating system and the on-board processing system of the vessel, receiving a specification of the vessel from the on-board processing system of the vessel, at the harbor operating system. The received specification is used for preparing and providing at least one software container according to the received specification of the vessel, wherein the at least one software container includes the location-specific machine learning model. The at least one software container received by the on-board processing system of the vessel is activated by using the at least one provided software container activation means.

The invention relates to the filed of the Internet of Things, and in particular, to an OTA differential upgrade method and system of a master-slave architecture. The method comprises: Step S1, obtaining an upgrade scheme, and determining a master-slave connection relationship and an upgrade manner according to the upgrade scheme; Step S2, downloading a differential upgrading file; Step S3, determining a processing mode of a master node according to the upgrading manner of a slave node; if the upgrading manner of the slave node is a first manner, the node flashes and restores the differential upgrading file and sends the differential upgrading file to the slave node, so that the slave node completes upgrading; if the upgrading manner of the slave node is a second manner, the master node flashes and restores the differential upgrading file and sends the differential upgrading file to the slave node for upgrading.

A materials handling vehicle comprises a distributed processor system including a vehicle network that facilitates an exchange of information with vehicle electronic components, and a distributed multi-processor vehicle control architecture. The distributed multi-processor vehicle control architecture includes an embedded information core having a core processor communicably coupled to the vehicle network, and a tablet having a tablet processor, where the tablet is communicably couplable to, and detachable from the distributed multi-processor vehicle control architecture. When the tablet is detached from the distributed multi-processor vehicle control architecture, the core processor functions as a primary processor that communicates with vehicle electronic components by communicating therewith across the vehicle network. When the tablet is communicably attached to the distributed multi-processor vehicle control architecture, the tablet processor functions as the primary processor, and the core processor functions as a subordinate processor.

Embodiments of systems and computer implemented methods are disclosed to automatically restore operating system (OS) application software to an information handling systems (IHS) when the OS application software is removed from a computer readable storage device of the IHS. The disclosed embodiments control the version of the OS application software being deployed to an IHS when deploying the software from the boot firmware. For example, the disclosed embodiments utilize a version identifier to specify which version of the OS application software should be restored, a Content Deliver Network (CDN) server to store multiple versions of the OS application software, and a registration web server to map a device identifier corresponding to the IHS and the version identifier corresponding to the specified version of the OS application software to a universal resource locator (URL) link identifying where the specified version of the OS application software is stored within the CDN server.

Embodiments of the present invention include a portable medical device with an integrated web server. The portable medical device is configured to establish a communication session with a user device. The integrated web server is configured to load software onto the user computing device for exchanging data with the portable medical device.