Intelligence agencies cannot afford delays in uncovering insight, whatever the source. At the same time, they must work within operationally constrained environments. Unfortunately, traditional IT approaches simply fall short when it comes to providing a solution that can reliably process massive amounts of data in a timely fashion. But with national security at stake, failure is simply not an option.
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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.
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A global telecommunications provider was mired in a hardware-centric architecture for its network applications. Even with a sizeable computing infrastructure investment, failure of server components was inevitable, and application failover schemes were risky. The provider needed a more cost-effective way to scale its operational support system (OSS) applications—without sacrificing dependability.
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Is your enterprise software really making you more competitive? After all, for years you’ve had to make expensive trade-offs between application dependability and manageability—and the sheer computing power required to deliver effortless scalability simply didn’t exist. However, a new type of software environment is successfully and cost-effectively meeting the requirements of today’s most demanding applications.
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