John Leach explains how Brightbox uses Virtualization in the data center and whether Virtualization causes performance problems. Also: a look at a few Unix tools and Linux features that Ruby developers might not know about.
Ralph Johnson and Joe Armstrong discuss their ideas about parallel programming - whether shared memory is harmful, the place of message passing, fault tolerance, the importance of protocols and more.
Jon Travis explains Hyperic HQU as well as Spring Insight, a tool for monitoring Java web apps, how it uses AspectJ to instrument Java code, how to use it to find performance problems and more.
Kresten Krab Thorup talks about the Erjang project and explains the challenges of bringing Erlang to the JVM, using Kilim for lightweight processes, the implementation of tail recursion and much more.
Chris Wanstrath discusses the state of GitHub's architecture, how GitHub is used and its impact on open source collaboration.
Oren Teich and Blake Mizerany talk about the technology behind Heroku and the benefits of the new add-on system.
Evan Phoenix discusses the path towards Rubinius 1.0, the status of the work on the JIT, optimizations in Rubinius and more.
Heroku's Adam Wiggins talks about how Heroku, Add-Ons, Ruby, and how Heroku manages to work around Ruby's inefficiencies using Erlang and other languages.
Doug Lea talks to InfoQ about the evolution of the Fork/Join Framework, the new features planned for java.util.concurrent in Java 7, and the "Extra 166" package. The interview goes on to explore some of the hardware and language changes that are impacting concurrent programming, and the effect the increasing prevalence of alternative languages in the JVM are having on library design.
In this interview taped at FutureRuby, Luke Galea talks about his experience with building sites using Ruby and Merb as well as integrating them using Erlang in the messaging layer.
Ilya Grigorik discusses his company's PostRank algorithm for tracking reader engagement with content. Also: his experience scaling MySQL, Tokyo Cabinet, Ruby HTTP libs, Solr, Amazon EC2 and more.
What is Data Grid computing? What makes it different from a database? Is a data grid always scalable? Is the cloud the next step? Cameron Purdy answered these questions and others during an InfoQ interview, and also gave some hints on how to build scalable grids and how to avoid horror stories.