HPjmeter 4.3 User's Guide

1 Introducing HPjmeter 4.3.00.00
HPjmeter is a performance analysis tool for deployed Java applications. It will help you identify
performance problems in your production environment as well as during development.
NOTE: You cannot use HPjmeter to monitor Java applets in a production environment.
HPjmeter helps you diagnose many types of Java application problems that occur only after a
product is deployed. The types of problems you can identify include:
• Memory-retention problems
• Performance bottlenecks in Java code
• Improper JVM heap settings
• Certain application logic errors, such as deadlocks
• Ineffective or problematic garbage collection
These problems may not be apparent or reproducible before you deploy your application because
they depend on unique conditions present only in deployment.
With HPjmeter you can also gain a comprehensive overview of certain states of a running JVM
and running applications, including details on memory usage, garbage collection, runtime, and
class loading, for example. Using HPjmeter's ability to interact with the Java Management Extensions
(JMX) component in the JVM, you can also manipulate operations during a monitoring session to
control the state of some logging mechanisms, to gather snapshots of stack traces and memory
details, and to force a garbage collection.
Features
With its application and JVM metrics, HPjmeter helps close the loop between developers and
operations staff.
HPjmeter has two modes of operation: you can use it to monitor live applications, and you can
analyze data collected from applications that have been run using profiling or garbage collection
options.
Specifically, HPjmeter provides these monitoring capabilities:
• Dynamic display of heap size and live objects in the heap
• Dynamic display of garbage collection events and percentage time spent in garbage collection
• Memory leak detection alerts with leak rate
• Java Method HotSpots, which represent CPU usage per method
• Thread views displaying thread states over time
• Object allocation percentage by method and by object type
• Method compilation count in the JVM dynamic compiler
• Number of classes loaded by the JVM over time
• Thrown exception statistics
• Thread deadlock detection
• Visibility into standard MBean attributes, operations, and notifications (JSR 174) within the
Java Virtual Machine, with the ability to trigger operations from HPjmeter and enable or
disable notifications.
Features 21