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Rails 3

Posted by Yehuda Katz  on  Mar 02, 2010

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.

LinkedIn: Network Updates Uncovered

Posted by Ruslan Belkin and Sean Dawson  on  Feb 26, 2010 2

Ruslan Belkin and Sean Dawson discuss LinkedIn’s initial requirements they started with, requirements that grew organically over time, then they delve into the internal architecture of the social network software presenting the service API - the Network Updates service being presented in greater detail - and the applications built on top of them including Twitter integration.

Facebook’s Petabyte Scale Data Warehouse using Hive and Hadoop

Posted by Ashish Thusoo and Namit Jain  on  Feb 21, 2010 6

Ashish Thusoo and Namit Jain explain how Facebook manages to deal with 12 TB of compressed new data everyday with Hive’s help. Hive is an open source data warehousing framework built on Hadoop, allowing developers to perform analysis against large datasets using SQL.

The State and Future of JavaScript

Posted by Douglas Crockford  on  Feb 17, 2010 1

Douglas Crockford talks on the history of JavaScript unveiling some of the struggles the Ecma Technical Committee has had in advancing the language over the years, concluding with lessons learned: if one has a great idea he should not tell it to a standardization body but rather do it, a change to a widely used standard is an act of violence, standards are hard, and one cannot please everyone.

SOA @ eBay: What Makes It Successful?

Posted by Sastry Malladi  on  Feb 12, 2010 3

Beside casual challenges met in implementing SOA, Sastry Malladi talks about additional ones encountered while implementing large scale SOA deployments, giving eBay as example of an efficient, extensible and scalable SOA platform accompanied by an automated governing process.

JRuby: You've Got Java in my Ruby

Posted by Tom Enebo  on  Feb 11, 2010 3

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.

Evolving the Key/Value Programming Model to a Higher Level

Posted by Billy Newport  on  Jan 19, 2010 6

In this presentation from QCon San Francisco 2009, Billy Newport discusses the ways that developers interact with key/value (KV) stores such as memcached and WebSphere eXtreme Scale, entity vs column-oriented approaches, synchronous and asynchronous operations, large data sets, using a DBMS as a column store, collocating closures and data, and features that could be added to increase scalability.

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