delicious

This is a rock-solid book with a solid introduction. I wouldn't agree that it's a "Definitive Guide" - I'd like to have seem more help up front in getting your environment set-up for the examples, some case-studies of how Terracotta has been used, more benchmarks, perhaps even benchmark code. But given the fact that it's the ONLY book I can find on Terracotta it's fortunately pretty good and gets you "in the game".

After a successful 1.0 release, Hazelcast, free data distribution platfom for Java, is now helping developers with new tools and features. So what is new in Hazelcast 1.1:

Hazelcast is a clustering and data distribution platform for Java. It currently comes with distributed implementation of java.util.Queue, java.util.Set, java.util.List, java.util.Map and java.util.concurrent.locks.Lock.

... Among the advances in 5.1 are partitioning, events scheduling, row-based replication and disk-based clustering. They are fairly standard features already offered by rivals IBM, Oracle and Microsoft, but they...

Using the EC2 API is straightforward, but to make life even simpler Chris Richardson has posted a Groovy framework that can launch MySQL, Apache HTTP Server, a set of Tomcat instances and JMeter, as well as deploying web applications to Amazon's EC2.

How do you configure your Java 2 Platform, Enterprise Edition (J2EE) servers to offer the scalability of Amazon EC2 to your applications? This tutorial explains the basic procedures for using Amazon EC2 to deploy distributed J2EE applications.

Over the weekend, I fired up three EC2 instances: one for the Terracotta server and two for running client applications. The two client machines were running our shared work queue example

... boundaries using the same built-in JVM facilities extended to have a cluster-wide meaning. These clustering capabilities are injected into the bytecode of the appli

Terracotta DSO acts like network attached memory, sharing critical parts of the JVM ... all » heap across servers. This allows multiple servers to act together in a cluster.