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Big Machines for Big Problems? Not Necessarily.


Source: Appistry


Document Type: Case Study

Description:

GeoEye is the leading provider of map-accurate commercial imagery to the US military and intelligence community. In the past, GeoEye lived by the motto that “big problems require big machines.” However, this was presenting the company with significant—and escalating—cost and complexity issues. The solution: a self-managing and self-healing distributed computing environment that required no custom application development.


Download <strong>Big Machines for Big Problems? Not Necessarily.</strong>
 

Comments:
Related Topics:  IT Infrastructure and Development, Grid and Utility Computing, Fault-Tolerance

 Related Keywords:  Appistry, scale without fail, application-level fault tolerance, next-generation platform, Appistry EAF, application layer, GeoEye, application fabric, hardware lock-in, satellite imagery

 Source: Appistry


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