A method performed by a processing system including at least one processor includes monitoring a software repository for code changes, detecting a code change in a software instance that is stored in the software repository, generating a container image of the software instance in response to the detecting, creating a container for the container image, wherein the container encapsulates software needed to run a test suite on the software instance, configuring a testing platform for a development environment used to create the software instance, executing the test suite for the software instance by running the software encapsulated in the container on the testing platform, and publishing a test output of the test suite as a human-readable scorecard for the software instance.

Various examples are directed to systems and methods for providing software services to one or more consumer systems. A cloud service provider system accesses a software service build comprising a first feature and a first feature toggle for selectively enabling or disabling the first feature. The cloud service provider system configures the first feature toggle of the software service build to disable the first feature and deploys the software service build to a first environment accessible by a first consumer system. A toggle routine determines that a first toggle condition for the first feature has occurred and modifies the software service build deployed at the first environment to configure the first feature toggle to enable the first feature.

At a time after receiving a request to cancel and rollback an update request for a computer system, one or more computer resources within a computer system invoke one or more computer system capabilities at least to cancel computer system operations to update the computer. When the computer system operations to update the computer system are cancelled, one or more computer resources within a computer system invoke one or more computer system capabilities at least to roll back the computer system to a previous good state.

Methods, systems, and apparatus are described for transferring application data. In one aspect, a method includes causing, by a first component on a first device to establish a wireless connection with a second device; receiving, from a second component on the second device, data specifying one or more applications that are installed on the second device and supported by the second component, each of the applications being separate from the second component; determining, by the first component, that a first application installed on the first device matches one of the applications installed on the second device, the first application being separate from the first component; receiving, by the first component, first application data from the first application; and causing, by the first component, the first device to send the first application data to the second component running on the second device using the wireless connection.

A system and method support can subnet management in a cloud environment. During a virtual machine migration in a cloud environment, a subnet manager can become a bottleneck point that delays efficient service. A system and method can alleviate this bottleneck point by ensuring a virtual machine retains a plurality of addresses after migration. The system and method can further allow for each host node within the cloud environment to be associated with a local cache that virtual machines can utilize when re-establishing communication with a migrated virtual machine.

A network entity may determine whether a network context of a device is stored in the device or in the network based, at least in part, on a preference or capability of the device, as reported by the device during attachment to the network entity. The context may be stored in, and retrieved from, a dedicated context storage function that is independent of the network entity. A context storage function may be partitioned, or separate storage functions used, to automatically group and track access network contexts, core network contexts, or network slice contexts. The context storage function may provide to the device an index, such as a link or other identifier to be used in retrieving the stored context information. The context storage function may further provide a token to secure re-attachment communications among the device, the network entity, and the context storage function.

Systems and methods for a device portal management system that stores discovery data for multiple computing devices are described. The device portal management system may store first discovery data for a first computing device and second discovery data from a second computing device. A user associated with the first computing device and the second computing device may access the discovery data via the device portal management system. The user may further configure the first computing device and the second computing device via the device portal management system.

Systems, methods, and computer program products for upgrading a vehicle's functionality based on the manner in which the vehicle is operated. A predefined operating condition of the vehicle that can be assisted by a vehicle feature not presently provided by the vehicle is identified. Thereafter, a notification is communicated to a user interface that indicates availability of the vehicle feature. Subsequently, the vehicle is upgraded to provide the vehicle feature responsive to input to the user interface submitting a request to perform the upgrade.

Examples described herein generally relate to deploying, on multiple separate devices, an instance of an application having a baseline version of a model for executing in a real-world context, receiving, from each instance of the application, interaction data from the application based on using the model to perform inferences during execution of the instance of the application, and training, based on the interaction data, the model to generate a trained version of the model for performing subsequent inferences during execution of the application.

Examples described herein generally relate to deploying, on multiple separate devices, an instance of an application having a baseline version of a model for executing in a real-world context, receiving, from each instance of the application, interaction data from the application based on using the model to perform inferences during execution of the instance of the application, and training, based on the interaction data, the model to generate a trained version of the model for performing subsequent inferences during execution of the application.