Scaling Out With Object-Relational Mapping on .NET
This report proves that the robust object-relational mapping technique implemented by Pragmatier Data Tier Builder scales out almost linearly when adding more servers in a Windows 2000 Advanced Server Network Load Balanced (NLB) web farm. An impressive 66 million page requests per day were served with sub second response times (550ms, no image download) by four dual processor PIII application servers with a four-way Xeon database server and a dual processor PIII shared state server.
by Sebastian Ware,
Mats Helander
June 30, 2003
long with the
proliferation of the Internet and large-scale intranets, the requirements
of enterprise applications have evolved. Launching a service in an expanding
enterprise could put an ever-increasing load on the application forcing
more server resources to be added to be able to sustain a reasonable user
experience. You are left with two choices, scale up or scale out.
An application
that performs well is no guarantee that it will scale well and the only
way to know for sure is to test.
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long with the
proliferation of the Internet and large-scale intranets, the requirements
of enterprise applications have evolved. Launching a service in an expanding
enterprise could put an ever-increasing load on the application forcing
more server resources to be added to be able to sustain a reasonable user
experience. You are left with two choices, scale up or scale out.
