Yehuda Katz explains Rails 3: the performance improvements, the new architecture, the influence of Merb, and much more. Also: a look at the Bundler tool.
Belkin and Dawson discuss LinkedIn’s requirements, then the internal architecture of the social network, presenting the service API, especially Network Updates, and the applications built on them.
Ashish Thusoo and Namit Jain explain how Facebook manages to deal with analysis of 12 TB of compressed new data everyday with Hive’s help, an open source data warehousing framework built on Hadoop.
Malladi talks about challenges met while implementing large scale SOA deployments, giving eBay as an example of an efficient, extensible and scalable SOA platform with an automated governing process.
Tom Enebo explains reasons for choosing JRuby: Hotspot optimizations, JVM Garbage Collectors, tools like profilers. Also: how JRuby helps to write cleaner, more expressive code with Java libraries.
Billy Newport discusses the ways that developers interact with key/value stores, entity vs column-oriented approaches, sync vs async operations, large data sets, and collocating closures and data.