Aaron Bedra
Northern Virginia Software Symposium
Reston · Apr 30 - May 2, 2010
Senior Engineer at DRW
Aaron Bedra is a Senior Engineer at DRW, where he works at the intersection trading and technology. He has served as a Chief Security Officer, Chief Technology Officer, and Principal Engineer/Architect. He has worked professionally on programming languages, most notably Clojure and ClojureScript. Aaron is the creator of Repsheet, an open source threat intelligence toolkit. He is the co-author of Programming Clojure, 2nd and 3rd Edition and a contributor to Functional Programming: A PragPub Anthology.
Presentations
The Art of the Spike
Exploring new technologies can be both challenging and rewarding. A good spike can make or break a new feature for your application. Have you ever thought that a technology or practice your company isn't currently using is the perfect fit for your next iteration? This is your time to shine! In this session you will learn how to treat new technologies as first class citizens and prove that they fit your needs. You will also learn how to provide concrete evidence supporting your decision. By the end of this session your fear of introducing new technology will simply melt away.
JRuby in Practice
Ruby has made an significant upward trend in the past few years. Alongside this trend Charles Nutter and the fantastic JRuby team have implemented a version of Ruby that runs on the JVM giving you the power of Ruby coupled with the advantages of running on the JVM. Come see for yourself how you can harness the power of rapid development in Ruby and still maintain all the Java interoperability you need to help you build on top of your existing systems.
Programming Clojure
Find out why Clojure is Java.next
- Clojure provides clean, fast access to all Java libraries
- Clojure provides all the low-ceremony goodness you know and love from dynamic languages
- Clojure includes Lisp's signature feature: Treating code as data through macros.
- Clojure's emphasis on immutability and support for software transactional memory make it a viable option for taking advantage of massively parallel hardware.