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Content Tagged with clustering + POJO
Harbor
<sep/>can develop a powerful stand alone application, and wire enable it. With very little effort, your POJO application will become...
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InfoQ: Introduction to OpenTerracotta
Java applications are easiest to write and test when they run in a single JVM. However, the requirements to make applications scalable and highly available have forced Java applications to run on more than one JVM. In this article, we introduce OpenTerrac
InfoQ: Introduction to OpenTerracotta
Open Terracotta allows threads in a cluster of JVMs to interact with each other across JVM 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
The POJO Container: POJO Clustering at the JVM Level
POJO clustering at the JVM level not only provides a simple way for applications to achieve scale-out, but also sets the stage for a stack of enterprise-scale services and practices based on simple POJOs—the POJO container.
The POJO Container: POJO Clustering at the JVM Level
POJO clustering at the JVM level not only provides a simple way for applications to achieve scale-out, but also sets the stage for a stack of enterprise-scale services and practices based on simple POJOs—the POJO container.
The POJO Container: POJO Clustering at the JVM Level
POJO clustering at the JVM level not only provides a simple way for applications to achieve scale-out, but also sets the stage for a stack of enterprise-scale services and practices based on simple POJOs—the POJO container.
Pragmatic Problem Solving.: Clustering - EJBs vs JMS vs POJOs
Scaling out a java application traditionally has not been easy. There are a number of technologies that allow you to distribute data across multiple JVMs, but most of them are cumbersome, high maintenance and do not scale linearly. Let's discuss the pain
