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Case Study Overview

Simplifying Development of High-Volume Geospatial Intelligence Applications Bob Lozano Rocket City Geospatial Conference 2007. Case Study Overview. Appistry EAF at GeoEye.

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Case Study Overview

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  1. Simplifying Development of High-Volume Geospatial Intelligence ApplicationsBob LozanoRocket City Geospatial Conference 2007

  2. Case Study Overview Appistry EAF at GeoEye The leading provider of satellite imagery for government and commercial applications, GeoEye is building its next-generation image processing applications on Appistry EAF. Data Process Result • Challenges: • Multi-core / SMP development complexity • Risk, cost and agility of traditional platforms • Meeting customer SLAs • Results: • Imaging applications now able to process in excess of 5 TB of satellite imagery per day • Developers able to focus on core competencies • Capital savings greater than $1.2 million • Easily meet customer requirements for maximum processing time “ By relying on the application fabric to provide scalability, reliability and manageability, we can leave our infrastructure concerns behind and focus on providing maximum value to our customers. ” – Ray Helmering,VP Photogrammetric Engineering at GeoEye Data: Raw satellite image is retrieved from SAN and broken up into tiles Process: Tiles are processed using proprietary GeoEye algorithms for sharpening, geocorrection, etc. Result: Tiles are reassembled and stored back in SAN

  3. VP of Engineering: My ChallengesEnormous increases in data flow … • New satellites (data sources) • Sophisticated analytics • Internet distribution • New business models • System to System (SOA) • Customer Expectations • Mobile Access • Constant change DATA INTENSE (VOLUME) DEPARTMENTAL APPLICATIONS ENTERPRISE APPLICATIONS CPU INTENSIVE (# OF SERVERS)

  4. Well, take a look at an “application fabric” Appistry Enterprise Application Fabric A grid-based application platform that dramatically simplifies the development and deployment of agile applications for high-volume data/transaction processing

  5. “Googlization” Simplified • Effortless scale, on-demand • Decreased time-to-market • Agile & resilient • Commoditized infrastructure • Pervasive Web services • Unified deployment model across technology platforms

  6. Traditional Processing Pipeline typical of the industry

  7. Start With Application Fabrics Transformation Fabrics Tiling Fabric I/O scalability SAN Processing scalability

  8. Psychological Sticking Points … • I/O Scalability • Development Complexity • Operational Complexity • Reliability • and don’t forget the cost reductions … reality favors the application fabric in every dimension! →application fabric →application fabric →application fabric →application fabric

  9. Appistry EAF EnergySaver • New add-on product for fabric power management • Customer sets policies for minimizing energy consumption, while ensuring application performance & service levels • No impact to application developers or SLAs!

  10. Conclusion Application fabrics, increase capability, lower cost, reduce time to market—i.e., are better in every dimension—and are very well suited to geospatial intelligence applications.

  11. THE FABRIC OF BUSINESS “ By relying on the application fabric to provide scalability, reliability and manageability, we can leave our infrastructure concerns behind and focus on providing maximum value to our customers. ” • Ray Helmering, VP Photogrammetric Engineering • GeoEye

  12. THE FABRIC OF BUSINESS Join in the conversation at www.appistry.com/blogs/bob

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