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Clojure after the Honeymoon
Håkan Råberg and Jon Pither on introducing Clojure to an investment bank team having a large Java code, dealing with cultural differences, the lessons learned, and ways of dealing with legacy code.
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Akka Eye for the Spring Guy or Gal
Jan Machacek introduces writing Scala applications to Spring developers, demoing using Akka actors with mix-in composition, higher-order functions, higher-order kinds, and REST API.
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Grails Update
Jeff Brown presents what’s new in Grails 2.0, 2.1 and 2.2, and informs on the enhancements to be introduced with 2.3.
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This is Your Workflow on Catnip
Bodil Stokke introduces the productivity benefits of Catnip, a text editor with REPL (Read Eval Print Loop) functionality integrated into the Clojure environment.
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Clojure + Datomic + Storm = Zolodeck
Amit Rathore describes the architecture of Zolodeck, a virtual relationship manager built on Clojure, Datomic, and Storm.
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Keynote: Spring 2012 and Beyond
Adrian Colyer, Juergen Hoeller, Mark Pollack and Graeme Rocher present SpringSource’s Unifying Component Model, current developments regarding Big Data, and betting on Grails.
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Scaling Software with Akka
Jonas Bonér explains solving scalability issues, including adaptive automatic load-balancing, cluster rebalancing, replication and partitioning, with Akka 2.
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ClojureScript - Better Semantics at Low Low Prices!
David Nolen unveils optimization techniques behind ClojureScript: code size, expression-oriented semantics, numerics, operations on JS primitive types, persistent data structures, etc.
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Types vs. Tests: An Epic Battle?
Amanda Laucher and Paul Snively debate solving problems through types and tests using different approaches.
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Distributed Apps: The Joys of Testing and Debugging
Chris Houser discusses stack traces in Clojure and introduces a library for investigating activity across multiple threads and servers, plus a technique for reproducing race conditions.
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Writing Datomic in Clojure
Rich Hickey introduces Datomic, including architectural and implementation details.
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Macros are Hard!
David McNeil introduces a model for thinking about Clojure evaluation through code samples with the purpose for an easier understanding and writing of macros.
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