Microsoft Technology Licensing, LLC

Nicola Greene Alfeo

Jeffrey Earl Steinbok

Peter Kenneth Harwood

Daron Spektor

Kevin Thomas Brown

Jianfeng Cai

Harry Phillip Ferguson, Iv

Sophie Dasinger

Jing Ding

Peter Erling Hauge

Raj Moizbhai Dhrolia

Sandeep Kumar

Andy Ness

Catherine Amy McDonald

Prajakta Sudhir Samant

Jiangfeng Cai

Nir Zvi Yurman

Tyler Pennington

Harry Phillip Iv Ferguson

Methods, systems, and computing devices for the automation of the building and validating of an updated VM product image within a data pipeline. The disclosed systems can also determine if the updated VM product image should be validated by testing the updated VM product image based on the risk of the update data to the functionality of the updated VM product image. By automating the process of building and validating VM product images within a data pipeline, a system can mitigate the time lag caused by traditional processes, which use manually initiated steps in creating VM images and separately manually initiated tools for validating VM images.

Enhanced virtual machine image management system

Disclosed herein is a system for providing a test environment, composed of one or more virtual machines, to a developer instantly in response to a checkout request from the developer. To do this, a sandbox service implements a smart, tiered approach to creating and provisioning virtual machines that compose the test environments. The approach is flexible and elastic in nature, so that the developers do not have to wait an extended period of time for a test environment, yet the costs associated with configuring the virtual machines (e.g., storage and compute costs) are minimized. For example, the sandbox service can use historical data to predict a number of checkout requests expected for a first time interval (e.g., one day), a second time interval (e.g., thirty minutes), and a third time interval (e.g., five minutes). The sandbox service can then configure virtual machines into different states based on the predicted numbers.

Adaptive resource management for instantly provisioning test environments via a sandbox service

The techniques discussed herein relate to providing a highly available and reliable secret distribution infrastructure. In an implementation, a key master service (KMS) system is disclosed. The KMS system includes one or more computer readable storage media having program instructions stored thereon which, when executed by one or more processing systems, direct the one or more processing systems to identify a hydration event and, responsive to the hydration event, determine if other KMS systems are running in a secret distribution infrastructure. The program instructions, when executed by one or more processing systems, further direct the KMS system to hydrate the KMS system with secret information obtained from the one or more of the other KMS systems when the other KMS systems are running in the secret distribution infrastructure.

Highly available and reliable secret distribution infrastructure

Aspects of the present disclosure relate to systems and methods for impersonating target user accounts via account redirection. In one aspect, a request may be received at a service issued from a temporary account of the service accessed by a client application. It may be determined whether the temporary account is stored in a mapping table comprising one or more temporary accounts mapped to a corresponding impersonation token. When it is determined that the temporary account is stored in the mapping table, the corresponding impersonation token mapped to the temporary account may be identified. The request may be processed in an impersonation mode based on the identified impersonation token.

Impersonating target account via account redirection

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Seattle, WA, United States of America

Nicola Greene Alfeo