Microsoft Technology Licensing, LLC

Kamaljit S Bath

Andrey Shur

Prakash Sikchi

Adriana Ardeleanu

Nora S Selim

Alessandro Catorcini

Arungundram C Narendran

Jean-Marie H Larcheveque

Alexei Levenkov

Rakesh Namineni

Mohit Verma

John Grant Bennett

Jonathan David Perlow

Raja Krishnaswamy

Shiraz Jitendra Cupala

Qingwei Lin

Jean Paoli

Evgeny Veselov

Danny Van Velzen

Edward George Essey

Brian G O'Connor

Si Qin

Jonathan E Rivers-Moore

Joseph J Brychell

Thulusalamatom Krishnamurthi Anand

Bo Qiao

Nathaniel Stott

Alexandru Croicu

Ramanathan Muthiah

Jian Zhang

Hagen Green

Yingnong Dang

Yu Kang

Ali Alam

Ananth Geethanath

Suneel Suresh

Robert Jervis

Mikhail Vassiliev

Peter A Tucker

Julien Hoachuck

Namrata Jain

Jeffrey Ding He

Pooja Rani

Jimmy Wong

Arungudnram Narendran

Xavier Bocken

The present disclosure relates to methods, systems, and computer readable media for analyzing log files for a wide variety of services (e.g., cloud computing services or microservices) to determine whether the services are operating as designed over some period of time associated with the log file(s). The present disclosure includes features and functionality for training or otherwise generating a model being configured to predict whether portions of an input log file include data reflective of normal operations of a corresponding service used to generate the input log file. The present disclosure provides a domain-agnostic approach to training an outlier detection model to analyze log files for a wide variety of services.

Training and implementing a steady state log analyzer

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

A system and method validating entry of data into a structured data file in real-time is described. The system and method also described a real-time validation tool that enables a developer to create custom validation rules. These custom validation rules can include preset validation rules, which the real-time validation tool enables a developer to create in an easy-to-use way.

Electronic form user interfaces

A system and method that enables promotion of data from within a structured data file to a library is described. This system and method can also enable demotion of data from a library to within a structured data file. Further, this system and method can copy data from a structured data file, perform a function on the copied data, and promote a result of the performed function to a library.

Promoting data from structured data files

System and method for real-time validation of structured data files

Validating data of and/or indicating errors of a structured data file using eXtensible Markup Language (XML) elements and/or XML Path (XPATH) expression are described.

Systems, methods, and computer program products for management of data that is stored in a hierarchical format such as, e.g., a relational database, when the data is retrieved and manipulated using a schema-driven format such as, e.g., XML are disclosed. In one implementation a copy of the XML data retrieved from the database and is generated and each logical unit in at least one of the original XML data or the copy of the XML data is annotated in a manner that uniquely identifies each logical unit. For example, each XML node may be assigned a unique numerical or string identifier. As the data is manipulated, algorithms may be implemented to use the annotations to track changes to the XML data and to ensure that the manipulated XML data complies with one or more required data formats. When the XML data is ready to be transferred back to the database(s) from which it was obtained, a series of operations are implemented to validate the data and to determine the nature of operation to be performed to restore the data to the databases.

Managing XML documents containing hierarchical database information

XML elements and related processes for validation of XML data files is disclosed. These elements are used to specify validation rules that are used by a real-time validation tool to validate data in a node of an XML data file. These elements also are used to specify error messages to be displayed when a node is found to be invalid. Further, they are used to associate executable code with a node that can be executed when the node is modified.

Validation of XML data files

A solution is described that declares elements, attributes, and values that define a hierarchical data file or a markup-language document. The declarations by the solution are within the solution and include a presentation application and a markup-language schema from which the markup-language document can be inferred as having a structure based on the markup-language schema. Portions of the markup-language document are logically coupled with fragments of the markup-language schema. The presentation application, when executed, forms an electronic form containing data-entry fields associated with the coupled portions. The solution can include a manifest of all files that can be used for representing the markup-language document in the electronic form. The files also allow a user in input data into the one or more data-entry fields and control the validation of the data that the user inputs into the one or more data-entry fields.

Declarative solution definition

A method and tabular data stream format is provided for the transmission of tabular data between a client process running on a client computer and a server process running on a server computer via a network such as the Internet. The tabular data stream format, called the Advanced Data TableGram (ADTG) format, is ideally suited for marshaling tabular data in both directions between a Web browser and a Web server. A Web browser query is processed by the Web server retrieving tabular data from a database and converting the data into a Rowset. The Rowset, in turn, is formatted into an ADTG message. The ADTG message includes a Header section, a HandlerOptions section, a Row section, and an End section. The Header section includes data representing global parameters for a tabular data stream. The Handler Options section contains data representing parameters for controlling the processing of the tabular data stream by a process receiving the tabular data stream. The Descriptors section includes data representing properties of the tabular data stream. The Row section includes data representing the properties of rows and values of the columns of the tabular data stream. The End section contains data that denotes the end of parts of an ADTG message, called resultsets, or the end of the entire ADTG message.

Method of creating a tabular data stream for sending rows of data

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Bellevue, WA, United States of America

Kamaljit S Bath