Spring实时统计与监控Spring-Dashboard及Spring集群Terracotta for Spring

http://yulimin.javaeye.com/blog/32531 关键字: Spring   Spring Cluster 集群 Dashboard 实时统计 监控Spring实时统计与监控Spring-Dashboard及Spring集群Terracotta for Spring 1、Spring实时统计与监控Spring-Dashboard http://www.spaceb

http://yulimin.javaeye.com/blog/32531

关键字: Spring   Spring Cluster 集群 Dashboard 实时统计 监控
Spring实时统计与监控Spring-Dashboard及Spring集群Terracotta for Spring

1、Spring实时统计与监控Spring-Dashboard
http://www.spacebug.com/projects_spring-dashboard.html

Spring-Dashboard可以为任何基于Spring的Web应用系统提供实时的统计和监控信息。
开发人员和测试人员能够通过它来监控基于Spring的Web应用系统中的操作流程，并且在应用系统使用时收集一些的资源使用情况。

目前的1.0版本里的附带一个简单的实例，而且监控信息页面（配置仪表盘信息）是采用AJAX实现的，有AJAX兴趣者可更可去下载回来研究一把。：）

小小块头，可以用来试用一下，继续Spring的风格，小巧：）

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2、Spring集群Terracotta for Spring
http://terracottatech.com/terracotta_spring.shtml

Terracotta for Spring能够为基于Spring的应用系统添加高性能的集群功能，而不用修改应用的任何代码。

约80M的块头，想试用者要考虑一下先，附上官方的说明：
Clustered Spring Applications in the Enterprise

Terracotta for Spring is a runtime for Spring-based applications that provides high-availability and high performance clustering for your Spring applications.

With Terracotta for Spring, just create single-node Spring applications as usual and define which Spring application contexts you want to cluster in the configuration file. Terracotta for Spring handles the rest. Spring applications are clustered automatically and transparently and are guaranteed to have the same semantics across the cluster as on the single node.

How do you cluster a Spring Bean?

If you are using Spring Beans today, clustering those Spring Beans takes one line of XML configuration. If you already enjoy the simplicity of configuration-driven development in Spring, Terracotta lets you use that same simple approach to cluster your Spring applications.

Product Highlights

? High performance clustering runtime for Spring applications to further simplify your development and deployment cycles
? Works with Spring applications to cluster Spring Beans, Events, JMX State and Spring WebFlows
? Virtual memory for large, shared Java heaps delivers high-availability and scalability
? Flexible sharing and locking configurable at runtime allows for distributed shared data without database load or abuse
 

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