Learn why GeoEye chose Appistry EAF to reduce development and operational cost and complexity, and enhance the company's agility in meeting the evolving needs of its customers.
Appistry Enterprise Application Fabric at GeoEye: Implementing a Next-Generation Platform for Geospatial Intelligence This case study profiles Dulles, Va.-based GeoEye - the leading provider of commercial satellite imagery to the Department of Defense and intelligence community - with a focus on why GeoEye chose Appistry Enterprise Application Fabric to both reduce operational cost and complexity and enhance the company's agility in meeting the evolving needs of its customers.
The Fabric of Business www.appistry.com Customer Case Study: Implementing a Next-Generation Platform for Geospatial Intelligence at GeoEye
Appistry Enterprise Application Fabric at GeoEye: Implementing a Next-Generation Platform for Geospatial Intelligence This case study profiles GeoEye - the leading provider of map-accurate commercial satellite imagery to the U.S. military and intelligence community - with a focus on why GeoEye chose Appistry Enterprise Application Fabric (Appistry EAF) to both reduce operational cost and complexity and enhance the company's agility in meeting the evolving needs of its customers.
About GeoEye Formed as a result of the ORBIMAGE acquisition of Space Imaging in early 2006, GeoEye is the largest satellite commercial remote sensing company in the world. With three earth imaging satellites currently in orbit, GeoEye provides low, medium and high resolution images to governmental intelligence, national security and military organizations, as well as to commercial customers. In particular, the National Geospatial-Intelligence Agency (NGA) purchases approximately $60 million worth of images and products from GeoEye on an annual basis, and awarded GeoEye a staggering $500 million "NextView" contract for the development of a next-generation high-resolution remote sensing satellite. This satellite, known as GeoEye-1, is set to launch from Vandenberg AFB, California in spring 2007 and will provide unprecedented levels of image resolution. From an orbit of 423 miles above Earth, GeoEye-1 will have a ground resolution of 0.41-meters, or about 16 inches. It will be the world's highest resolution commercial earth-imaging satellite and be able to collect some 700,000 sq. km. of imagery each day in panchromatic mode. That is equivalent to an area the size of Texas.
The Challenge: Reduce Infrastructure Cost & Complexity without Sacrificing Reliability, Enhance Competitive Agility
Reducing Cost & Complexity Geospatial intelligence applications can generally be characterized as tackling intensive computations that involve unrelenting volumes of data. GeoEye's core,
At-A-Glace Industry Geospatial Intelligence Challenge Key Benefits Build a next-generation platform for . image "ingest" and "exploitation" Scalability limitations eased, enabling applications that is more cost-effective, incremental application growth easy-to-manage and flexible than .Application execution reliability traditional approaches, without sacrificing enhanced, easing burden of relentless reliability. inflow of data . Estimated 77% reduction in hardware Solution and software acquisition and recurring Appistry EAF running on 50+ Linux-based costs commodity computers provides a self- managing and self-healing distributed .Application developers freed to focus computing environment that did not on algorithms rather than require custom application development programming structure and can easily scale up or down to meet . Application management simplified, business requirements. decreasing operational complexity . Application innovation unleashed from infrastructure-driven constraints Page 2 Customer Case Study: Implementing a Next-Generation Platform for Geospatial Intelligence at GeoEye
saleable asset is the imagery it gathers from the satellites it owns and operates. GeoEye takes massive amounts of raw image data from the satellites and processes it through a series of compute-intensive "ingest" applications that perform a variety of processing steps, such as image sharpening, compression and geocorrection. In order to handle increased data volume created by the launch of a higher resolution satellite and/or algorithm enhancements made to ingest applications without impacting the timely delivery of images to downstream applications, GeoEye must rely on its technology-based solutions to keep pace. In th... [download for more]
