Sponsored by New Relic. Ashley Puls introduces three common byte code manipulation frameworks: ASM, CGLib, and Javassist, providing enough detail to get one started.
Eva Andreasson has a fairly entertaining and yet painful presentation around garbage collection that will probably will end with more questions than answers.
Jack Singleton discusses how to improve code readability and maintainability in Scala, and how to be productive with Options, Immutability, and the Collections library.
Martin Thompson focuses on the evolution of Java and how it contrasts to C/C++, covering the cultural challenges of pushing the limits of performance and how to collaborate with industry experts and organize teams, which often stands at odds with the culture in many organisations.
In this solutions track talk, sponsored by Oracle, Simon Ritter looks at how Embedded Java and a Raspberry Pi were used to communicate with the diagnostic and management systems of an Audi S3 and process the data, and how JavaFX has been used to provide an in-car information system for less than $200.
Lance Walton shares the experience of a small team building a trading platform in 6 weeks in Scala and Lift while fighting against an opposing organizational culture.
Josh Suereth discusses Scala: expressions, abstracting behaviors, FP & OOP, Futures & Promises, libraries with implicit classes and value classes, tracking lexical state with implicit values.
Adam Warski shows how to replace features of DI containers with plain Scala code using MacWire, and adding interceptors using macros.
Marc-Daniel Ortega shares code snippets showing how to implement some logic in a functional language inspired by “Functional Programming in Scala”, avoiding the OOP influence.
Stefan Chis demoes building a Lisp dialect in Scala, covering: parsing code, defining data types and functions, evaluating expressions, implementing higher order functions.
Adam Rosien introduces scalaz, how to use it to make code simpler and type safer, how it compensates for Scala issues, and how it encapsulates DI and data validation.
Olivier Chafik discusses how to make a practical use of reified trees in Scala, with two applications: run-time (re)compilation for extreme speed, and conversion to another language (OpenCL).
CONTENT IN THIS BOX PROVIDED BY OUR SPONSOR
Featured Blog Posts
We get a lot of questions about our analytics-driven Application Performance Management (APM) collection and analysis technology. Specifically, people want to know how we capture so much detailed information while maintaining such low overhead levels. Read More.
Most technology folks have heard Marc Andreessen’s provocative statement, “Software is eating the world.” Whether you agree fully or not, you’re realizing that your business critical software applications increasingly drive both the top-line revenue growth and the bottom-line operational efficiency of your company – and often form the pillar of your business... Read More.
Wouldn’t do website load/performance testing any more without having an APM tool in place. Period. Full stop. End of story. I’ve been involved in website load testing for over 10 years, as a “end-user” when I was web operations manager for an online job board, as a team leader for a... Read More.
White Papers and Assets
|QCon SF||Nov 3-5|
|AppSphere 2014||Nov 3-5|