Carroll W. Moon - Matthews NC, US Neal R. Myerson - Seattle WA, US Susan Pallini - Windham NH, US Gary J. Baxter - Redmond WA, US Thomas D. Applegate - North Bend WA, US Darren C. Justus - New York NY, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
H04J 1/16
US Classification:
370244
Abstract:
Technology is disclosed for implementing a major problem review process. Incidents are recorded in a common data schema and the data is then used to facilitate an IT organization's major problem review process. Reporting is provided on the data in a format that allows trend information to be readily compiled. The format allows tracking both a primary root cause and an exacerbating cause of an incident or problem. Incidents can be recorded in relation to a group of elements having a common characteristic. The technology includes facilities for tracking downtime minutes by server, service, and database.
Framework For Providing Metrics From Any Datasource
Neal R. Myerson - Seattle WA, US Darren C. Justus - New York NY, US Jitendra Luniya - Pune, IN Carroll W. Moon - Altavista VA, US Susan Pallini - Windham NH, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 17/30
US Classification:
707 4, 707E17014
Abstract:
A metrics generation system provides IT and other computing system metrics from different data sources in a single display. Configuration files containing parameters and instructions are loaded by the system to access different data sources. The metrics generation system retrieves IT system health data, processes and aggregates metrics from the retrieved data and displays the metrics based on user defined parameters and instructions in the configuration files. The metrics generation system is flexible in that it can be changed to extract data from different IT data sources, calculate different metric information having a hierarchy of attribute types and values, and display a variety of metric data in different formats.
Neal R. Myerson - Seattle WA, US Darren C. Justus - New York NY, US Jitendra Luniya - Pune, IN Carroll W. Moon - Altavista VA, US Susan Pallini - Windham NH, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 9/44 G06F 17/00
US Classification:
7071041, 705 7
Abstract:
A metrics generation system provides IT computing system metrics that are aggregated by a custom hierarchy. The custom hierarchy is specified by a user through configuration files. The metrics generation system retrieves IT system health data, processes and aggregates metrics from the retrieved data and displays the metrics based on user defined parameters and instructions in the configuration files. The metrics generation system is flexible in that it can be changed to extract data from different IT data sources, calculate different metric information having a hierarchy of attribute types and values, and display a variety of metric data in different formats.
Darren C. Justus - Seattle WA, US Neal R. Myerson - Seattle WA, US Carroll W. Moon - Altavista VA, US Susan K. Pallini - Windham NH, US Jitendra Luniya - Pune, IN
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 9/44
US Classification:
717172, 717168
Abstract:
Systems and methods for implementing non-executable configuration files into a resource reporting application are disclosed. In accordance with one embodiment, a method for implementing non-executable configuration files into a resource reporting application includes developing one or more non-executable data files for implementation into the resource reporting application. The non-executable data files are then bundled into a file pack. The file pack is then distributed to the resource reporting application. The resource reporting application then implements one or more non-executable data files into the resource reporting application. In further embodiments, the non-executable data files include XML files. In some embodiments, the non-executable data files are bundled into a .cab file pack.
Neal Robert Myerson - Seattle WA, US Darren C. Justus - Seattle WA, US Brian David Connolly - Seattle WA, US Vladimir Holostov - Hadera, IL
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06N 5/02 G06F 17/30
US Classification:
706 45
Abstract:
Aspects of the subject matter described herein relate to analyzing data and providing recommendations regarding computing assets. In aspects, data is collected from computing assets and aggregated in a data repository. A data analyzer analyzes the data to determine problems associated with the computing assets. Work done to identify a problem with one computing asset may be used to identify problems with or provide recommendations for other computing assets controlled by the same or different entities. When a problem is identified in a computing asset, a recommendation may be proactively provided to an entity associated with the computing asset.
Uber Atg
Group Product Manager
Mighty Ai
Vice President of Product Management
Mighty Ai
Vice President Operations and Delivery
Mighty Ai
Business Operations Leader
Sonos, Inc. Apr 1, 2015 - Sep 2016
Director of Service Operations
Education:
University of Washington 1991 - 1996
Bachelors, Bachelor of Business Administration, Business, Accounting
Skills:
Mof Product Planning Service Delivery Program Management Enterprise Software Software Project Management Release Management People Management Saas Cloud Computing It Operations Sdlc Vendor Management Service Management It Service Management Cross Functional Team Leadership Customer Focus Business Intelligence It Strategy Itil Customer Experience Product Management Customer Oriented Sharepoint Management Agile Methodologies Leadership Crm Agile Project Management Project Management Software Development Life Cycle Customer Relationship Management Software As A Service