Abstract: The present disclosure relates to devices, methods, and computer-readable medium for providing recommendations for alternate resources to use for cloud services. The devices, methods, and computer-readable medium may receive a resource allocation request for a new resource of a computing system and may predict an occurrence of a capacity related allocation for the resource allocation request. The devices, methods, and computer-readable medium may identify alternate resources to use for the resource allocation request and may provide recommendations with the alternate resources.

Abstract: The present disclosure relates to devices, methods, and computer-readable medium for providing recommendations for alternate resources to use for cloud services. The devices, methods, and computer-readable medium may receive a resource allocation request for a new resource of a computing system and may predict an occurrence of a capacity related allocation for the resource allocation request. The devices, methods, and computer-readable medium may identify alternate resources to use for the resource allocation request and may provide recommendations with the alternate resources.

Abstract: The present disclosure relates to devices, methods, and computer-readable medium for providing recommendations for alternate resources to use for cloud services. The devices, methods, and computer-readable medium may receive a resource allocation request for a new resource of a computing system and may predict an occurrence of a capacity related allocation for the resource allocation request. The devices, methods, and computer-readable medium may identify alternate resources to use for the resource allocation request and may provide recommendations with the alternate resources.

Abstract: The present disclosure relates to devices, methods, and computer-readable medium for providing recommendations for alternate resources to use for cloud services. The devices, methods, and computer-readable medium may receive a resource allocation request for a new resource of a computing system and may predict an occurrence of a capacity related allocation for the resource allocation request. The devices, methods, and computer-readable medium may identify alternate resources to use for the resource allocation request and may provide recommendations with the alternate resources.

Abstract: Techniques for automated capacity managed in distributed computing systems are disclosed herein. In one embodiment, a method includes receiving predicting one or more future usage levels of a computing resource in the distributed computing system based on received data representing historical usage levels of the computing resource and determining whether a currently available capacity of the computing resource in the distributed computing system is depleted beyond a threshold time period based on the one or more future usage levels. In response to determining that the currently available capacity of the computing resource in the distributed computing system is depleted before the threshold time period, the method includes immediately rebooting, reimaging, or performing other recovery actions on one or more out-for-repair hosts that provide the computing resource.

Abstract: Techniques for automated capacity managed in distributed computing systems are disclosed herein. In one embodiment, a method includes receiving predicting one or more future usage levels of a computing resource in the distributed computing system based on received data representing historical usage levels of the computing resource and determining whether a currently available capacity of the computing resource in the distributed computing system is depleted beyond a threshold time period based on the one or more future usage levels. In response to determining that the currently available capacity of the computing resource in the distributed computing system is depleted before the threshold time period, the method includes immediately rebooting, reimaging, or performing other recovery actions on one or more out-for-repair hosts that provide the computing resource.

Abstract: One or more techniques and/or systems are provided for dynamically maintaining user centric data. For example, a data provider app may have knowledge about user centric data associated with a user (e.g., a social network app may have contact information for a social network friend of the user). A user centric profile may be defined for the user centric data based upon information provided by the data provider app (e.g., a contact card may be generated for the social network friend). Responsive to receiving a request for the user centric profile from a requestor app (e.g., an event planning app), the user centric profile may be exposed to the user but not to the requestor app for security and/or privacy purposes. For example, an operating system may present at least some of the user centric profile within an operating system user interface.

Abstract: One or more techniques and/or systems are provided for dynamically maintaining user centric data. For example, a data provider app may have knowledge about user centric data associated with a user (e.g., a social network app may have contact information for a social network friend of the user). A user centric profile may be defined for the user centric data based upon information provided by the data provider app (e.g., a contact card may be generated for the social network friend). Responsive to receiving a request for the user centric profile from a requestor app (e.g., an event planning app), the user centric profile may be exposed to the user but not to the requestor app for security and/or privacy purposes. For example, an operating system may present at least some of the user centric profile within an operating system user interface.

Abstract: One or more techniques and/or systems are provided for dynamically maintaining user centric data. For example, a data provider app may have knowledge about user centric data associated with a user (e.g., a social network app may have contact information for a social network friend of the user). A user centric profile may be defined for the user centric data based upon information provided by the data provider app (e.g., a contact card may be generated for the social network friend). Responsive to receiving a request for the user centric profile from a requestor app (e.g., an event planning app), the user centric profile may be exposed to the user but not to the requestor app for security and/or privacy purposes. For example, an operating system may present at least some of the user centric profile within an operating system user interface.

Abstract: One or more techniques and/or systems are provided for dynamically maintaining user centric data. For example, a data provider app may have knowledge about user centric data associated with a user (e.g., a social network app may have contact information for a social network friend of the user). A user centric profile may be defined for the user centric data based upon information provided by the data provider app (e.g., a contact card may be generated for the social network friend). Responsive to receiving a request for the user centric profile from a requestor app (e.g., an event planning app), the user centric profile may be exposed to the user but not to the requestor app for security and/or privacy purposes. For example, an operating system may present at least some of the user centric profile within an operating system user interface.

Abstract: One or more techniques and/or systems are provided for dynamically maintaining a service profile. That is, a user may be associated with a variety of services, such as an email service, a social network service, a photo sharing service, etc. An operating system may dynamically provide support for services by maintaining service profiles. For example, a service provider application may specify a service definition defining a service not yet supported (e.g., a social network app may describe functionality and/or information about a new social network service). A service profile may be generated for the service based upon the service definition. The service profile may be exposed to system components and/or applications that may utilize the service profile to access information and/or functionality provided by service (e.g., a camera system component may allow a user to upload a photo to the new social network service utilizing the service profile).

Abstract: One or more techniques and/or systems are provided for deploying an application within a computing environment. In particular, an application that is requested for deployment may be identified (e.g., an application to be downloaded, installed, updated, registered and/or removed during deployment). A set of deployment rules may be executed upon deployment parameters within a manifest (e.g., metadata describing how the application is to be deployed) to detect whether a conflict (e.g., issues that may arise from concurrent deployment) may exist between the deployment parameters and a second application currently being deployed within the computing environment. For example, resource access conflicts, file access conflicts, and/or registry access conflicts may be identified. If no conflicts exist, then the application may be concurrently deployed with the second application.

Abstract: A single instance store including files for multiple packages is maintained in a computing device, each of the multiple packages including one or more components or modules for one or more applications. For each of the multiple packages, a record of a state for the package is maintained, and one or more of the multiple packages can have different ones of multiple states for different users. Based at least in part on a state machine and the state for one of the multiple packages, the one of the multiple packages is transitioned to a different state.

Abstract: In accordance with one or more aspects, a first one or more packages are included in a deployment collection for a software product. One or more identifiers of each of a second one or more packages are also included in the deployment collection for the software product. The deployment collection is obtained at a device. For each of the second one or more packages, the package is obtained based on the identifier of the package, and the first one or more packages and the second one or more packages are installed on the device.