Microsoft Technology Licensing, LLC

Sean Anderson Bowles

Peter J Kaufman

Shayak Lahiri

Yuhang Zhu

Richard Ivan June

Brian Stuart Perlman

Gaurav Raghu Dhawan

Haipeng Li

Venkata Raghuram Pampana

Manoj Jain

Peter John Richards

Adeep Singh Cheema

Rama Krishna Samudrala

Dhruma Kishan Parikh

Jitendrakumar G Koshti

Moiz Z Rassiwala

Daniel S Dudugjian

John Chadwell Spaith

Suman Kumar Nath

Feng Yue

Vladimir Holostov

Chetan Bansal

Adrian Francisco Teran Guajardo

Janani Vasudevan

Justin Alexander Hou

Haitao Wang

Javier Novales

Manish Shetty Molahalli

Siamak Ahari

Tarun Kumar Jain

Prakash Ajay Kumar Suri

Jeewan Ghuman

Kamil Ozgur Arman

This document relates to a process for supporting the management of a variety of types of deployed devices. Administrators utilizing enterprise services can provide generic configuration data using configuration templates, which can be provided to a management server. The management server can then precompute device-specific configuration settings and resolve any conflicts that may arise based on the configuration templates. The configuration templates can also include placeholders for secret values, and once a managed device checks in to the management server, the secret values can be retrieved from an applicable enterprise service and provided to the managed device at the time of applying the configuration template.

Secure management of devices

Embodiments described herein are directed to implementing compliance settings by a computing device for bringing the computing device into compliance with a configuration scenario. For instance, a computing device may receive, from a server, configuration information describing compliance settings for implementing by the computing device to bring the computing device into compliance with a configuration scenario. Moreover, the computing device may identify a state machine indicated by the configuration information that describes a configuration process for implementing the compliance settings and execute the state machine to configure the computing device with the compliance settings.

Implementation of compliance settings by a mobile device for compliance with a configuration scenario

Machine-learned prediction of a blame frame of a crash stack. Specifically, a crash stack associated with a crash is parsed into a sequence of frames. The blame frame of the crash stack is estimated by, for each of a plurality of the sequence of frames, identifying a plurality of features of the corresponding frame, feeding the plurality of features to a neural network, and using the output of the neural network to make a prediction on whether the corresponding frame is a blame frame of the crash. If this is done during training time, the predicted blame frame can be compared against the actual blame frame, resulting in an adjustment of the neural network. Through appropriate featurization of the frames, and by use of the neural network, the prediction can be made cross-application and considering the context of the frame within the crash stack.

Crash localization using crash frame sequence labelling

Various technologies described herein pertain to controlling configuration of a computing device. A configuration request can be received, at the computing device, from a configuration source external to the computing device. The configuration request can include configuration data for a dependent feature. An evaluation can be performed at the computing device to determine whether a dependency graph for the dependent feature is satisfied. The dependency graph for the dependent feature can specify interdependencies between configurations of a set of features such that remaining features in the set of features are to be configured prior to enabling the dependent feature to be configured. Moreover, the dependent feature can be configured based on the configuration data when the dependency graph for the dependent feature is satisfied. The configuring of the dependent feature based on the configuration data can be prohibited prior to the dependency graph for the dependent feature being satisfied.

Dependency graph for coordination of device configuration

Various technologies described herein pertain to controlling reconfiguration of a dependency graph for coordinating reconfiguration of a computing device. An operation can be performed at the computing device to detect whether an error exists in the dependency graph for a desired configuration state. The dependency graph for the desired configuration state specifies interdependencies between configurations of a set of features. An error can be detected to exist in the dependency graph when the desired configuration state differs from an actual configuration state of the computing device that results from use of the dependency graph to coordinate configuring the set of features. Feedback concerning success or failure of the dependency graph on the computing device can be sent from the computing device to a configuration source. The dependency graph can be modified (by the computing device and/or the configuration source) based on whether an error is detected in the dependency graph.

Automatic reconfiguration of dependency graph for coordination of device configuration

Various technologies described herein pertain to managing multiple enrollments of a computing device into configuration sources. Respective enrollment types for the enrollments into the configuration sources can be detected. Moreover, respective control data for the enrollments into the configuration sources can be set based on the enrollment types. Provisioning elements (e.g., policies, preferences, configuration profiles, and resources) that satisfy the respective control data can be permitted to be applied to the computing device by the configuration sources as part of the enrollments. Further, disparate provisioning elements that fail to satisfy the respective control data can be prevented from being applied to the computing device as part of the enrollments.

Multi-enrollments of a computing device into configuration sources

Various technologies described herein pertain to evaluating configuration compliance of a computing device. The computing device operates in a configuration compliance evaluation mode to test a set of configuration requests for a configuration source. Configuration changes to the computing device can be applied in a virtual machine run on the computing device when operating in the configuration compliance evaluation mode. Responsive to each configuration request being received and when the computing device is operating in the configuration compliance evaluation mode, the computing device can store the configuration request in a data store, apply the configuration request in the virtual machine to cause a configuration change in the virtual machine, and store data for verifying enforcement of the configuration change in the data store. The configuration changes to the computing device applied in the virtual machine can be removed when the computing device discontinues operating in the configuration compliance evaluation mode.

Evaluating configuration requests in a virtual machine

Techniques are described for configuring a multivariant mobile operating system. The current state of a mobile computing device can be determined by determining keys to use for obtaining configuration settings. The determined keys can be used to retrieve configuration settings. The configuration settings can be prioritized. The prioritized configuration settings can be applied to configure the multivariant mobile operating system.

Multivariant mobile operating system configuration

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Sean Anderson Bowles