November 2012
October 2012
JMeter Cloud Testing
by Spone
Data Modeling in Performant Systems // RailsTips by John Nunemaker
by Spone
toystore: Ruby mapper for key-value data stores, and darn near anything - The Changelog - Open Source moves fast. Keep up.
by Spone
August 2012
July 2012
June 2012
May 2012
Faye: Simple pub/sub messaging for the web
by Xavier Lacot
April 2012
A Faster Emulator with Better Hardware Support | Android Developers Blog
by Xavier Lacot
March 2012
JoliCode - Réalisation de projets Web et mobiles de qualité
by Xavier Lacot
Experiences with Node.js: Porting a RESTful Service Written in Java - ZiggyTech
by night.kame
After more research and swapping out modules, the bottleneck was narrowed down to the Sequelize ORM. A direct correlation was identified between the number of records and the throughput from the resource. By increasing the number of records in a table, it exponentially decreased the throughput of data when using Sequelize.
On comprend mieux pourquoi les révolutionnaires se concentrent sur le NoSQL : c'est qu'ils ont du mal avec le SQL :-)
February 2012
High Scalability - High Scalability - Tumblr Architecture - 15 Billion Page Views a Month and Harder to Scale than Twitter
by night.kame & 1 other
Node.js wasn’t selected because it is easier to scale the team with a JVM base. Node.js isn’t developed enough to have standards and best practices, a large volume of well tested code. With Scala you can use all the Java code. There’s not a lot of knowledge of how to use it in a scalable way and they target 5ms response times, 4 9s HA, 40K requests per second and some at 400K requests per second. There’s a lot in the Java ecosystem they can leverage.
