Microsoft Technology Licensing, LLC

Suneetha Dhulipalla

Nagaraju Palla

Dhruv Joshi

Dolly Sobhani

Chris Barnes

Chaitanya Gogineni

Brian Allan Mueller

MadhaviLatha Kaniganti

Fumiaki Yagi

Dheeraj Kumar Jain

Vijay Mohan

Akash Bhatia

Sameera Satyavan Desai

Hsien-chieh Cheng

A system and method for sampling telemetry events are provided. The method includes monitoring, using at least one listening module, execution of instructions by a processor, identifying, using the at least one listening module, one or more unique tags, determining, based on one or more trigger conditions, if the one or more unique tags is associated with at least one of the one or more trigger conditions, wherein the one or more trigger conditions are dynamically modifiable via a remote device, obtaining, based on the determination, a portion of a stack data structure associated with the execution of the instructions by the processor; and performing, based on the determination, at least one action.

Dynamic remote collection of supplemental diagnostic data and triggering of client actions for client software application

Intelligent collection and analysis of in-app failure data is disclosed herein. Upon an application failure in a client device, the client device may collect failure information uniquely identifying a specific failure and provide the failure information to an analysis system. The analysis system may identify a specific failure that identifies the application and a specific portion of the code in the application, based on the failure information and match an action correlated to the specific failure where the action is uniquely designed to resolve the specific failure in the application. The action may include instructions for the client device used to intelligently lead to a resolution of the specific failure. The analysis system may transmit the action to the client device to perform the action and provide any follow up information to the analysis server. The analysis server may use the information to further analyze the specific failure.

In-app failure intelligent data collection and analysis

Methods, systems, and computer storage media for providing log files using logging system operations in a logging system. The logging system operations support memory mapping log files and asynchronously managing file operations. The logging system operations support selectively mapping segments of log files during write operations. The logging operations also support performing file operations (e.g., closing, opening, deleting and serializing files) advantageously as background processes. Selective memory mapping specifically includes incrementally mapping new segments of a log file up to a predetermined log file size limit. The logging operations support processing spare files using spare file memory mapping. A spare file replaces an existing log file to continue writing logging data using the spare file. Based on the memory mapping, additional logging system operations of the logging system can be performed including persisting the log file data even when the application crashes, minimizing of forced flushes, and asynchronous file management.

Logging operations based on memory mapping in a logging system

Incident information that describes a timing of an incident in a service, is received from a service. User activity information is received from a client system in a tenant. An impact of an incident, on a tenant, is identified by combining the incident information with the user activity information.

Detecting and surfacing user interactions

Route information identifying servers that an e-mail message travels through, along with per-hop latency information, is aggregated. A choke point or other latency-related issue is identified and a control signal is generated to control the e-mail system based upon the identified choke point or other latency-related issue.

Electronic mail system routing control

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Sammamish, WA, United States of America

Suneetha Dhulipalla