Microsoft Technology Licensing, LLC

Matthew Joseph Koscumb

Yi-Lei Wu

Molly Grossman

Scott McMurray

Dolly Sobhani

Brian Eugene Kihneman

Dhruv Joshi

Heron Arzaquel Anzures Reyes

Siddharth Dahiya

Ajanta Mahato

A system and method for sampling telemetry events are provided. The method includes receiving, by a cloud-based server, a plurality of telemetry events, related to an application, from a plurality of client devices; generating, by the cloud-based server, a sampling model for collecting a telemetry event based on the plurality of telemetry events, where the sampling model defines under what conditions the telemetry event is to be reported by a client device; generating, by the cloud-based server, an instruction for determining whether or not to report an incoming same telemetry event by the client device based on the sampling model; and providing, by the cloud-based server, the instruction to the client device, to allow the client device to determine whether or not to report the incoming same telemetry event based on the instruction.

Sampling of telemetry events to control event volume cost and address privacy vulnerability

A telemetry module integrated with an application may include a data collection and analysis engine configured to implement a data collection pattern comprised of data collection rules to perform data collection and analysis for reporting to a service associated with the application. The telemetry module may also include a scaling profile manager configured to dynamically scale the data collection and analysis performed by the data collection and analysis engine for a target device such that parameters of the data collection and analysis correspond to resources and capabilities of the target device. After scaling, the data collection and analysis engine may then be further configured to determine additional data collection rules based on the scaled data collection and analysis, and dynamically modify the data collection pattern implemented based on the additional data collection rules such that the data collection pattern also corresponds to resources and capabilities of the target device.

Dynamic data collection pattern for target device

A telemetry module integrated with an application may include a data collection and analysis engine configured to perform data collection and analysis for reporting to a service associated with the application. The telemetry module may include additional components configured to dynamically scale the data collection and analysis performed by the data collection and analysis engine for a target device such that parameters of the data collection and analysis correspond to resources and capabilities of the target device. For example, a scaling profile manager may receive a profile for a device on which the application is being executed from the service, where the profile defines criteria for the scaling of the data collection and analysis. The scaling profile manager may then determine one or more resources and capabilities of the device, compare the determined resources and capabilities to the criteria, and scale the data collection and analysis based on the comparison.

Dynamically scalable data collection and analysis for target device

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Redmond, WA, United States of America

Matthew Joseph Koscumb