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Company: Informationweek
Published: July 2008
The best way to instrument Java applications is to use JMX. But JMX is complicated. Most well-documented JMX sources focus primarily on common usage conventions and design patterns, but none of these address challenges involving instrumenting custom monitoring applications with JMX.
SL Corporation has over 25 years of experience in monitoring and visualization, with particular expertise in Java. The purpose of this paper is to offer recommendations on how software developers can best overcome challenges that arise when custom application monitoring requirements grow to involve aggregation, dynamic analysis, and visualization of real-time data.
Topics include: Common errors to avoid involving data content and design of MBeans, key requirements that should not be overlooked when instrumenting applications with JMX, and recommendations that will ensure minimization of client-side development efforts.
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