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Twitter Shifting More Code to JVM, Citing Performance and Encapsulation As Primary Drivers
While it almost certainly remains the largest Ruby on Rails based site in the world, Twitter has gradually been moving more and more of its stack to the JVM. Last year the company announced that its back-end message queue had been re-written in Scala, and more recently it moved the search stack to Java, making Twitter search around three times faster.
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Interview: Russ Olsen on "Eloquent Ruby"
The book "Eloquent Ruby" aims to help Ruby programmers to write idiomatic Ruby and make best use of Ruby's capabilities. InfoQ talked to author Russ Olsen about Ruby style, metaprogramming and more.
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Learning Ruby on Rails with Michael Hartl
Learning a new programming language can be a daunting task and at times difficult to know where to start. Now try to learn a new web framework at the same time and you have a recipe for confusion.
We had the opportunity to talk with Michael Hartl about his approach to teaching people Ruby on Rails, his book the Ruby on Rails 3 Tutorial, and the excellent video series with the same title.
Key Takeaway Points and Lessons Learned from QCon London 2011
The main takeway points and lessons learned from QCon London 2011 as seen by the many attendees who blogged or tweeted about QCon. Experience QCon through the opinions of the attendees!
Concrete: Rich, Customizable DSL Editors for the Browser
Text-based DSLs are useful, an custom editor for the DSL is even better. Concrete allows to build customized editors for JSON-based DSLs/Models. InfoQ talked to Concrete's creator Martin Thiede.
No Callbacks Required: StratifiedJS Returns Sequential Programming to Javascript
Key Takeaway Points and Lessons Learned from QCon San Francisco 2010
The main takeway points and lessons learned from QCon San Francisco 2010 as seen by the many attendees who blogged about QCon. Experience QCon through the opinions of the attendees!
LinkedIn Signal: A Case Study for Scala, JRuby and Voldemort
This article aims to provide more insight into the motivation and technical challenges that the LinkedIn team faced, while combining Scala, JRuby and Voldemort, at such scale.
