Microsoft Technology Licensing, LLC

Shibani Basava

Dinesh Chandnani

Ram Kumar Donthula

Andrew Christopher Neil

Zhu Chen

Vijaya K Upadya

Geoffrey Staneff

Evgenia Steshenko

Matthew Sloan Theodore Evans

Xin Shi

Brian W Boon

Shaun Miller

Bertan Aygun

Philip Price

Carl Brochu

Shengyu Fu

Daniel Moth

John F Lam

Siwei Li

Cameron McColl

Roman Golovin

George Joshua Michaels

Anton Kolesnyk

Nathan Ryan Halstead

Safia Abdalla

Kwangje Cho

Vijay Upadya

Katherine Kampf

Vaishnavi Sannidhanam

Barry Manh Tu

Dileep Yavanmandha

Philip Edward Price

Some embodiments support embedding of a notebooks software component in a surrounding host application, thereby promoting consistency of notebook user interfaces and user experiences between different kinds of applications. For instance, the notebook access added to an integrated development environment (IDE) may be aesthetically consistent with the notebook access added to a business analytics tool from the same vendor as the IDE. Departures from the aesthetic are still supported, e.g., a notebook access provided in a video gaming environment to teach gamers programming skills may have the same aesthetic as the simulated world of the video game, rather than an IDE aesthetic or an enterprise software aesthetic. Direct integration or proxied integration architectures may be used. Efficiencies may be gained by distinguishing between notebook viewing, editing, and executing operations, and providing more computationally expensive resources only as needed for the notebook access being performed.

Embeddable notebook access support

A rule-based attribution mechanism analyzes documents having different types of data in different formats through the application of script-based rules that apply a tag to the document identifying the type of sensitive data that is contained in the document. Documents having similar tags are aggregated so that the sensitive data is scrubbed from the document leaving the telemetric data available for downstream processing. The scrubbing entails different actions, such as, eliminating the sensitive data, obfuscating the sensitive data, and converting the sensitive data into a non-sensitive value.

Rule-based document scrubbing of sensitive data

A real-time event processing system receives event data containing telemetric data and one or more personal identifiers. The personal identifier in the event data is replaced with an obfuscated value so that the telemetric data may be used without reference to the personal identifier. A reversible map is used to reverse the obfuscated personal identifier to its original value. In the case when a request is received to delete the mapped personal identifier, the link to the entry in the reversible map is broken by associating the personal identifier with a different obfuscated value.

Obfuscation and deletion of personal data in a loosely-coupled distributed system

A diagnostic mechanism monitors execution of a user interface (UI) thread to detect execution of a long running task that may have caused the UI thread to become unresponsive. The execution time of the UI thread is monitored and when it exceeds a threshold, the UI thread's call stack is preserved to a mini-dump file. The completion time of the UI thread is also tracked and stored in a delay file. The mini-dump and delay files are then uploaded to a server where the collected data is aggregated overall execution runs by multiple users to identify the cause of the unresponsiveness.

Monitoring the responsiveness of a user interface

Embodiments allow a user to define event scenarios that are used to analyze callstack and context data. Scenarios that are delayed are flagged and reported to the user with an aggregated callstack of CPU samples taken during the delay. An aggregation is done for samples for the main user interface thread of the process that is being monitored. A user may select other threads to see the callstack aggregation for that thread. The user can identify which methods use the most time for a particular delay from the callstack presentation. An event analysis tool allows quick exploration of the responsiveness issues by visualizing delays as they happen and allowing the user to drill down into callstack details for selected delays.

Automated correlation and analysis of callstack and context data

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Seattle, WA, United States of America

Shibani Basava