Jason Heintz resumes & CV records
Resumes
Jason Heintz
Jason Heintz
Jason A Heintz, 526441 S Jericho Cir, Centennial, CO 80016
Jason Heintz Phones & Addresses
6441 S Jericho Cir, Aurora, CO 80016
18937 Louisiana Ave, Aurora, CO 80017 303-3372131 303-7559210
Centennial, CO
Greeley, CO
Fort Collins, CO
6441 S Jericho Cir, Centennial, CO 80016 303-8619605
Work
Position:
Professional/Technical
Education
Degree:
Associate degree or higher
Mentions for Jason A Heintz
Publications & IP owners
Us Patents
Master Data Management System For Monitoring Cloud Computing
US Patent:
2013015, Jun 20, 2013
Filed:
Dec 16, 2011
Appl. No.:
13/328170
Inventors:
Kent Mitchell - Denver CO, US
Jason Heintz - Centennial CO, US
Hollie McCurdy - Mountlake Terrace WA, US
Carroll Moon - Alta Vista WA, US
Mark Miller - Flower Mound TX, US
Brian Feck - Charlotte NC, US
Lou Nikodym - Golden CO, US
Vadi Ramalingam - Bellevue WA, US
Jason Heintz - Centennial CO, US
Hollie McCurdy - Mountlake Terrace WA, US
Carroll Moon - Alta Vista WA, US
Mark Miller - Flower Mound TX, US
Brian Feck - Charlotte NC, US
Lou Nikodym - Golden CO, US
Vadi Ramalingam - Bellevue WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 15/173
US Classification:
709226
Abstract:
An application provides cloud computing master data management. The application determines a rank associated with received server information from a server. The source rank is adjusted according to evaluation of server information against naming convention standards. The source rank is used in determining a category matching the server information. An assigned category includes instructions to configure assets of a server. The application assembles configuration information from the assigned category and provides the configuration information to the server.
Providing Server Performance Decision Support
US Patent:
2013015, Jun 20, 2013
Filed:
Dec 14, 2011
Appl. No.:
13/325883
Inventors:
Kent Mitchell - Denver CO, US
Jason Heintz - Centennial CO, US
Hollie McCurdy - Seattle WA, US
Carroll Moon - Alta Vista VA, US
Mark Miller - Flower Mound TX, US
Brian Feck - Charlotte NC, US
Lou Nikodym - Golden CO, US
Jason Heintz - Centennial CO, US
Hollie McCurdy - Seattle WA, US
Carroll Moon - Alta Vista VA, US
Mark Miller - Flower Mound TX, US
Brian Feck - Charlotte NC, US
Lou Nikodym - Golden CO, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 15/173
US Classification:
709224
Abstract:
An application provides server performance decision support to end-users. The application monitors the transaction data of servers. The transaction data includes network communications as well as server specific information such as resource utilization. The application captures a sample of the transaction data. The captured sample can be random or predetermined. The sample is limited in length according to a preset time value. The application analyzes the sample to determine performance metrics for the server. The application presents the performance metrics within a business intelligence data structure to enable an end-user to data mine the performance metrics according to additional variables.
Providing Server Performance Decision Support
US Patent:
2015005, Feb 26, 2015
Filed:
Oct 3, 2014
Appl. No.:
14/506440
Inventors:
- Redmond WA, US
Jason Heintz - Centennial CO, US
Hollie McCurdy - Seattle WA, US
Carroll Moon - Alta Vista VA, US
Mark Miller - Flower Mound TX, US
Brian Feck - Charlotte NC, US
Lou Nikodym - Golden CO, US
Jason Heintz - Centennial CO, US
Hollie McCurdy - Seattle WA, US
Carroll Moon - Alta Vista VA, US
Mark Miller - Flower Mound TX, US
Brian Feck - Charlotte NC, US
Lou Nikodym - Golden CO, US
International Classification:
H04L 12/26
US Classification:
709224
Abstract:
An application provides server performance decision support to end-users. The application monitors the transaction data of servers. The transaction data includes network communications as well as server specific information such as resource utilization. The application captures a sample of the transaction data. The captured sample can be random or predetermined. The sample is limited in length according to a preset time value. The application analyzes the sample to determine performance metrics for the server. The application presents the performance metrics within a business intelligence data structure to enable an end-user to data mine the performance metrics according to additional variables.
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