Chapter 12. Visualizing Applications
Tuning applications that run in a cluster is hard. What makes tuning difficult is that the application is a logical entity running across processes and machines, while the available tools work almost exclusively at the process or machine level.
For example, you know from Chapter 5 that Terracotta helps distribute application cache data. We also know an application that accesses the cache in a random way will not scale, because the objects have to move around the cluster through the Terracotta server. But none of the tools that exist for performance tuning (including CPU and memory monitoring tools, JVM heap monitoring tools, and Java application profilers) would show that a distributed cache is slow, because ...
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