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ABOUT THE PRESENTATION AND SPEAKER:
Biography: Tom
Igielski has over 30 years of experience that includes working with all facets
of the software development lifecycle. Tom is currently a Technology Counselor
with Upstream Solutions, Inc., a Minneapolis based firm specializing in Quality
Assurance, Project Management, Perimeter Security, Business Assurance and
Application Performance Management services. Tom has amassed most of his
experience managing infrastructure and quality assurance efforts being addressed
by large, multi-divisional companies. Over the last four years, Tom has focused
on all aspects of web application performance testing, including those
associated with configuration and scalability. Tom has managed enterprise
Quality Assurance Program implementations across multi-division corporations,
with a special focus on using automated tools to do functional, regression and
load testing. He has also managed many development projects from conceptual
design through construction and implementation. Tom has a B.S. in Chemistry from
Loyola University (Chicago), and an MBA from the University of St. Thomas (St.
Paul). He is currently an Adjunct Professor in the University of St. Thomas'
Graduate Programs in Software program teaching courses on software process. He
holds a Certified Software Test Engineer (CSTE) certification from the Quality
Assurance Institute and is a Mercury Certified Instructor and Certified Product
Consultant with LoadRunner. Abstract:
Effective Use of Automated Load Testing Tools to Tune Web Applications Web-based systems are some of the most complex systems we
are building today. They involve many, sometimes disparate components that need
to work together as a single unit to provide the functionality and performance
needed for today's businesses. These components could include Web Servers,
Application Servers, Load Balancers, Networks, Firewalls, Database Systems,
Legacy Systems, Software Drivers / Translators, and Internet Service Providers.
This presentation will discuss how the use of automated load testing tools can
be used to verify operation, identify and
correct problems associated with high use, web-based systems.
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