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The Data Analytics of Application Scaling and Why There Are No Giants
November 14 @ 7:00 pm - 9:00 pm
Dr. Neil Gunther, Performance Dynamics Company
6:30 Doors Open, Food & Networking
*** Please arrive by 7:00 PM due to Security ***
8:30 wrap up
Like the 30 ft. giant in ‘Jack and the Beanstalk,’ myths and fallacies abound regarding application scaling. Many blog posts show some performance data as time-series charts, but otherwise only offer a qualitative analysis. This talk is intended to remedy that by showing you how to QUANTIFY scalability. Time series are not sufficient to assess cost-benefit of cloud services and other scalability trade-offs. After reviewing the nonlinear constraints on the scalability of giants, we apply similar nonlinear data-analytics techniques to determine the universal scalability constraints on such well-known applications as: MySQL, Memcache, NGINX, Zookeeper, and Amazon AWS.
Neil Gunther, M.Sc., Ph.D. is a researcher specializing in performance analysis and capacity planning of large-scale applications. Prior to starting his own consulting company in 1994 (www.perfdynamics.com), Neil worked on the NASA Voyager and Galileo missions, the Xerox PARC Dragon multiprocessor, and the Pyramid/Siemens RM1000 parallel cluster. Neil has authored many technical articles and several books
including: “Guerrilla Capacity Planning” (Springer 2007) and the 2nd edition of “Analyzing Computer System Performance with Perl::PDQ” (Springer 2011). Neil is a Senior member of both ACM and IEEE and received the A.A. Michelson Award in 2008.