Microsoft Technology Licensing, LLC

Ebay, Incorporated

Jian Zhang

Roman Batoukov

Khoa Van Tran

Suren Aghajanyan

Keiji Kanazawa

Sai Sankalp Arrabolu

Zeqiang Wang

Richard Wydrowski

Benjamin J Lofton

Thomas W Potthast

Lech Gudalewicz

Qingwei Lin

Si Qin

Kamaljit S Bath

Zohar Raz

Corey Roussel

Bo Qiao

Yu Kang

Rakesh Namineni

Yingnong Dang

Mingyuan Zhong

Bharathwaj Raam Sampathkumar

Stephen Simburg

Ivonne D Galvan Coiffier

Mohit Verma

Julien Hoachuck

Namrata Jain

Jeffrey Ding He

Pooja Rani

Jimmy Wong

Methods and systems for detecting systemwide service issues by using anomaly localization. In an example, a method includes receiving time-series monitoring data for multiple services, the time-series monitoring data including multiple dimensions and an error metric; for the monitoring data from each service, evaluating scopes within the monitoring data based on an objective function for a time-series of the error metric to identify at least one anomalous scope, each scope including at least one dimension and a value for the dimension; based on evaluating the scopes, generating a ranked list of scopes for each service based on objective function scores for the scopes; correlating the ranked lists of scopes across the multiple services to identify a cross-service anomaly; and generating an alert for the services based on the cross-service anomaly, the alert indicating at least one scope as a potential root cause for the cross-service anomaly.

Detecting systemwide service issues by using anomaly localization

Systems and methods for data anomaly detection include recommending one or more algorithms from a set of algorithms to process received time series data, wherein the one or more algorithms are recommended based at least in part on a type of workload for processing the received time series data. Assisted parameter tuning is provided for a detected anomaly alert and calibration, and the received time series data is processed based on a user selected algorithm that is parameter tuned.

Data anomaly detection

In various example embodiments, a system and method for transmitting data to select users are presented. User information corresponding to users of a web service is accessed. Scores for each of the user is calculated based on the accessed user information. Select users of the web service are identified based on the calculated scores. A data object is generated and then transmitted to the select users.

Transmitting data to select users

A diagnostic dashboard for web applications is provided. The dashboard is presented in a portion of a web page in response to activation of a control in form of a frame along with partially displayed web page contents. Designers and administrators are provided informative data to assist them in discovering root causes for page malfunctioning or slowness, and are enabled to access call stack and exception information in error messages.

Diagnostic dashboard for web pages

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Bellevue, WA, United States of America

Jian Zhang