Java Performance, by Charlie Hunt and Binu John, provides performance tuning advice for both Java SE and EE applications. Specifically, it provides information on performance monitoring, profiling, tuning HotSpot, and Java EE application performance tuning. InfoQ reviews the book, and talks to the authors about their approach.
While still a major user of Ruby and Rails, Twitter has gradually been moving more and more of its stack to Java and Scala. InfoQ spoke to Twitter engineer Evan Weaver to find out more.
InfoQ examines how Azul's collector works, and explores some techniques you can use to test the impact of garbage collection in your applications.
InfoQ caught up with Charles Nutter to talk about the state of JRuby: the 1.5 release, Ahead of Time compilation, and what's coming up in 1.6 and with features in Java 7.
Java 7 aims to improve support for dynamic languages through JSR 292. InfoQ takes a detailed look at the problems JSR 292 solves, and talks to JRuby lead Charles Nutter about JSR 292 in practice. 5
This article explains the impact memory barriers, or fences, have on the determinism of multi-threaded programs. 2
This article presents one developer's approach to dealing with the "fiendishly hard" OSGi issue of service dynamics. The basic problem is described and two different solutions are proposed. 2
One of the most exciting things in Java right now is the work being done to get other programming languages onto the JVM. If you want to try something very different from Java, Lisp is a great option. 12
Jeroen Borgers examines if biased locking, lock coarsening, lock elision by escape analysis and adaptive spin locking techniques in the latest JVMs actually work in highly-concurrent apps. 3
Jeroen Borgers examines if biased locking, lock coarsening, lock elision by escape analysis and adaptive spin locking techniques in the latest JVMs actually work in highly-concurrent apps. 16