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InfoQ has an exclusive chat with one of the original gurus of Rails deployment: Ezra Zygmuntowicz. We discuss his current venture, EngineYard, and the future of Rails. His book on Rails Deployment is due from Pragmatic Programmers in June 2007.
The latest version of GridGain, a java based open source grid computing framework, supports load balancing and data partitioning features. GridGain Systems recently released version 2.0 of the framework which also includes a "work stealing" feature where the scheduled jobs running on overloaded nodes in the grid are "stolen" to run on underloaded nodes.
Describes an approach to scaling web applications by partitioning data according to what is generic and what is user specific. The generic data streams can then take advantage of horizontal scaling and the power of caching.
Shoal is a java clustering framework that provides infrastructure to build fault tolerance, reliability and availability for java application servers. It can also be plugged into any application that needs clustering and distributed systems capabilities. Shoal is the clustering engine for GlassFish and JonAS application servers and provides a distributed state cache for storing application state.
Exploring a couple of lesser known tools in the architects' scaling toolkit.
Traditional approaches to load balancing have focused on server side solutions. Lei Zhu recently proposed an approach where the load balancing logic for a clustered Ajax application resides in the client tier, and describes how an application built on Amazon's S3 and EC2 services has successfully employed the technique.
Many people talk about scalability, but do you know what it really means? Royans K Tharakan dispels some myths and provides a detailed explanation of some of the common scalability terms.
Just over a week's gone by and the community is still buzzing with the Rails scalability debate. Developers are asking the defining question: does Web 2.0 darling Twitter.com prove Rails can't scale? James Cox gives InfoQ readers a comprehensive summary.
