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HSTC602 www.harbinger-systems.com PROACTIVE LOAD PREDICTION & CODE PROFILING
Challenge What will be the peak load on the portal? When exactly will the load on the portal be highest? What are the code optimization opportunities? Harbinger Solution Historical usage analysis to predict the hour and date of peak load Writing test scripts and preparing test data to simulate load Server and SQL code profiling to identify bottlenecks and optimization opportunities Technologies & Tools Microsoft SQL Server 2005 Analysis Service Microsoft Visual Studio Team System 2008 (VSTS) Statistical spreadsheet modeling using time series and decision tree prediction theories Benefits Usage trend predicted accurately Web farm of eight load-balanced servers serving up to 9000 users per hour Only three years of data, and spreadsheet modeling had an error margin of just 10% Company tackling shorter employee enrollment period of 2 to 3 weeks instead of 2 months BOTTOM LINE Company adding large-sized customers and proactively planning for load in coming years PROACTIVE LOAD PREDICTION & CODE PROFILING www.harbinger-systems.com Situation An HR communication and benefits content provider is signing up large-sized customers A large company wants access to the benefits portal for its 80,000 employees
Services Web 2.0 eLearning Software Product Development Performance Engineering Systems Software Locations Redmond, USA Pleasanton, USA Pune, India Contact sales@harbingergroup.com info@harbingergroup.com USA Tel: +1 (425) 861-8400, +1 (510) 991-7766 India Tel: +91.20.2528.4201 / 2 / 3 HARBINGER GROUP Innovate. Partner. Excel. www.harbingergroup.com HARBINGER SYSTEMS About Harbinger Systems is a leading provider of software engineering services to some of the world's best product companies. By leveraging cutting-edge technologies, Harbinger Systems works with its customers as a partner in technology innovation. www.harbinger-systems.com
Summary: An HR communication & benefits content provider predicted its portal usage trend accurately through code profiling and spreadsheet-based modeling, resulting in better planning for load in future
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