Microsoft Technology Licensing, LLC

Shriram Natarajan

Vladimir Pogrebinsky

Bradley Bartz

David James Armour

Matthew Joel McGlynn

Ricardo Luiz Fagundes Mendes

Heath Lawson

Manish Tandon

Jiewen Zheng

Anjay Vijendra Ajodha

Scott Michael Napolitan

Ryan Jones

Pavel Tsurbeleu

Matthew Joel Mcglynn

Methods, systems, and computer program products are provided that automatically scale an application between private and public cloud computing platforms, while simultaneous enforcing policies ensuring private data is persistently stored on the private cloud computing platform, but not the public cloud computing platform. A traffic manager on the public platform routes traffic to instances of a web app executing on a private platform. A traffic monitor on the private platform monitors performance criteria of the private platform, and reports traffic telemetry to the traffic manager. Based on the traffic telemetry, the traffic manager may instantiate one or more instances of the web app on the public platform to handle traffic. Private data gathered by such instantiated instance(s) is persisted to storage in the private platform, but not in the public platform.

Automatic application scaling between private and public cloud platforms

User interface integration across multiple clouds is achieved by hosting UI extensions for different services in the same browser window. The UI extensions are initialized by a shell with any necessary security context for the corresponding cloud. The shell provides versioning so that the newest version of the UI is presented to users for all versions of a service. A connector in a local cloud provides translation between APIs across different clouds.

Integrated user interface for consuming services across different distributed networks

Embodiments provide an API that provides metadata about a cloud service's endpoints in response to a single query. This allows a cloud service to advertise each of its endpoints through a common endpoint. The common endpoint may be present in each of a plurality of cloud services, thereby allowing each cloud service automatically discover metadata for other cloud services.

Cloud metadata discovery API

An application may be configured with two or more cloud contexts and one or more identity Systems. Using this information, the application has the ability to identify the remote cloud environment that a particular subsystem needs to interact with. The application communicates with the appropriate identity system to retrieve tokens dynamically for targeting that remote cloud.

Connecting and retrieving security tokens based on context

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Bellevue, WA, United States of America

Shriram Natarajan