A data processing system implements obtaining a set of input parameters associated with an update to be deployed to a plurality of server farms of a cloud-based service, wherein each server farm includes a primary replica configured to handle user traffic and a disaster recovery replica configured to handle user traffic responsive to a failure of the primary replica; determining temperature information for each of the server farms, ranking the server farms based on the temperature information to determine an order in which an update is to be deployed to the server farms; iteratively deploying the updates to the primary replicas of the server farms according to the ranking until an deployment threshold has been satisfied; and iteratively deploying the updates to the primary replicas of server farms for which the primary replicas have not yet been updated and to the disaster recovery replicas of the server farms.

A data processing system implements obtaining a set of input parameters associated with an update to be deployed to a plurality of server farms of a cloud-based service, wherein each server farm includes a primary replica configured to handle user traffic and a disaster recovery replica configured to handle user traffic responsive to a failure of the primary replica; determining temperature information for each of the server farms, ranking the server farms based on the temperature information to determine an order in which an update is to be deployed to the server farms; iteratively deploying the updates to the primary replicas of the server farms according to the ranking until an deployment threshold has been satisfied; and iteratively deploying the updates to the primary replicas of server farms for which the primary replicas have not yet been updated and to the disaster recovery replicas of the server farms.

The system and method described herein may upgrade kernels in cloud images deployed in cloud computing environments without having to rebuild a machine image that contains a root file system for the cloud image. For example, the cloud image may include a ramdisk that compares the kernel booted in the cloud image to the root file system to verify whether the machine image contains a directory hierarchy matching an operating system release for the kernel. In response to the machine image containing the matching directory hierarchy, the root file system may be mounted for execution in the cloud computing environment. Alternatively, in response to the machine image lacking the matching directory hierarchy, the ramdisk may dynamically create the matching directory hierarchy and inject modules that support the kernel into the root file system prior to mounting and delivering control to the root file system.

The system and method described herein may upgrade kernels in cloud images deployed in cloud computing environments without having to rebuild a machine image that contains a root file system for the cloud image. For example, the cloud image may include a ramdisk that compares the kernel booted in the cloud image to the root file system to verify whether the machine image contains a directory hierarchy matching an operating system release for the kernel. In response to the machine image containing the matching directory hierarchy, the root file system may be mounted for execution in the cloud computing environment. Alternatively, in response to the machine image lacking the matching directory hierarchy, the ramdisk may dynamically create the matching directory hierarchy and inject modules that support the kernel into the root file system prior to mounting and delivering control to the root file system.

Systems and methods are disclosed herein for switching an application executing on an ambulatory medical device to a new application without interrupting therapy provided by the ambulatory medical device to a subject. The ambulatory medical device may receive an indication that an update to an application executing on the ambulatory insulin pump is available, establish a communication connection to a host computing system, download and install the application update, while a prior version of the application continues to run. The disclosed systems and methods can confirm successful installation of the application update on the ambulatory medical device and switch control of the ambulatory medical device from the prior version to the new version of the application without interrupting therapy provided to the subject.

Systems and methods are disclosed herein for switching an application executing on an ambulatory medical device to a new application without interrupting therapy provided by the ambulatory medical device to a subject. The ambulatory medical device may receive an indication that an update to an application executing on the ambulatory insulin pump is available, establish a communication connection to a host computing system, download and install the application update, while a prior version of the application continues to run. The disclosed systems and methods can confirm successful installation of the application update on the ambulatory medical device and switch control of the ambulatory medical device from the prior version to the new version of the application without interrupting therapy provided to the subject.

According to examples, an apparatus may include a processor and a memory on which are stored machine-readable instructions that when executed by the processor, may cause the processor to receive information regarding a performance characteristic of an application during predetermined time periods. The processor may calculate a rate of change in the performance characteristic over the predetermined time periods. Based on a determination that the performance characteristic of the application has changed over the predetermined time periods, the processor may tune values of a set of parameters for the application based on the calculated rate of change in the performance characteristic.

According to examples, an apparatus may include a processor and a memory on which are stored machine-readable instructions that when executed by the processor, may cause the processor to receive information regarding a performance characteristic of an application during predetermined time periods. The processor may calculate a rate of change in the performance characteristic over the predetermined time periods. Based on a determination that the performance characteristic of the application has changed over the predetermined time periods, the processor may tune values of a set of parameters for the application based on the calculated rate of change in the performance characteristic.

A system and method for updating a settop box (STB) architecture that can be used to immediately update a device without requiring the device to be reset/restarted. The device may be any type of device that simultaneously supports multiple applications. The architecture may be used to update one of the applications with new functionality in a seamless manner that allows the applications including the one application to continue to operate without interruption.

A system and method for updating a settop box (STB) architecture that can be used to immediately update a device without requiring the device to be reset/restarted. The device may be any type of device that simultaneously supports multiple applications. The architecture may be used to update one of the applications with new functionality in a seamless manner that allows the applications including the one application to continue to operate without interruption.