Jonathan David Jenkins

US Patent:

20190057333, Feb 21, 2019

Filed:

Aug 16, 2018

Appl. No.:

16/104000

Inventors:

Jonathan Jenkins - Germantown MD, US

International Classification:

G06Q 10/06
G06F 15/18

Abstract:

An inference engine titled the Waste, Opportunity, and Risk Engine Query Language or (WORE-QL) that links rules to any business objects in a workplace source system. The rules are constructed from small building blocks of business logic (small rule sets) that operate on information contained in various objects. WORE-QL promotes cultural and engineering principles and values for teams to more quickly deliver high quality while generating textual analyses and recommendations for changes associated with a project or roll up of projects with approximate cost, time, resource, and application-based savings.

US Patent:

20150248341, Sep 3, 2015

Filed:

May 18, 2015

Appl. No.:

14/714665

Inventors:

- Reno NV, US
Eric Jason Brandwine - Haymarket VA, US
James R. Hamilton - Seattle WA, US
Jonathan A. Jenkins - Seattle WA, US
Matthew D. Klein - Seattle WA, US
Nathan Thomas - Seattle WA, US
Pradeep Vincent - Kenmore WA, US

International Classification:

G06F 11/34
G06F 11/30

Abstract:

A set of techniques is described for monitoring and analyzing crashes and other malfunctions in a multi-tenant computing environment (e.g. cloud computing environment). The computing environment may host many applications that are executed on different computing resource combinations. The combinations may include varying types and versions of hardware or software resources. A monitoring service is deployed to gather statistical data about the failures occurring in the computing environment. The statistical data is then analyzed to identify abnormally high failure patterns. The failure patterns may be associated with particular computing resource combinations being used to execute particular types of applications. Based on these failure patterns, suggestions can be issued to a user to execute the application using a different computing resource combination. Alternatively, the failure patterns may be used to modify or update the various resources in order to correct the potential malfunctions caused by the resource.