Please contact their vendors and ask for an update. Visual GC attaches to an application and collects and graphically displays garbage collection, class loader, and HotSpot compiler performance data. See the Visual GC tool page for details. Framework and GUI for detailed monitoring and analyzing Java applications.
Using various probes, the Tracer gathers metrics from an application and displays the data in a timeline. The data are displayed both graphically and in a table and can be exported to common formats for further processing by external tools. Kill Application plugin allows to easily kill a monitored process, alive or deadlocked, by just a single mouse click.
Eventually it uses a hard kill for processes that don't respond. See the Startup Profiler plugin page for more details. The current version of the plugin requires the profiled application to be started by the user running the host VisualVM instance. Profiling startup of remote applications is not supported.
After a successful installation the plugin adds a new menu item Applications Profile Startup and a new toolbar action "Start new process and profile its startup", see the next section. To start profiling application startup, invoke either the Applications Profile Startup menu action or the plugin action in VisualVM toolbar:.
The action opens a Profile Startup dialog which configures the profiled application and profiling session. The configuration consists of the following three steps:. The first step specifies the configuration of the profiled application.
Select the Java platform including 32bit or 64bit architecture that will run the profiled application. You may also customize the profiling port, default value is Note that only the Java platforms and architectures supported by Startup Profiler and host VisualVM instance are available. The second step defines profiling settings used for the session. Choose whether you want to profile performance or memory of the application and define the desired settings. For CPU profiling , you have to define the profiling starting point s.
See the tooltip for a hint on the required format. Note that the profiling overhead will be significant in this case. To get a reasonable profiling data, you should define custom starting point like org. When custom starting points are defined, the Profile new Runnables option should typically be unchecked. For Memory profiling , you can continue with the defaults. The Profile object allocations mode can be used to see live instances and their trends.
The profiling overhead is always significant when profiling memory, but can be reduced a bit by not tracking each object's allocation.
If you want to find out from where in the code the objects are being allocated, select the Record allocations stack traces option. Once the profiling session starts and the profiled application opens in VisualVM, you can see the live profiling data, which is just a subset of the information provided by the profiler. To see the call trees for CPU data or stack traces for memory allocations, take a snapshot of the profiling results! The third step instructs how to setup the target application and start the profiling session.
Make sure the application is configured to run using the defined Java platform and architecture. Add the provided parameter to its JVM arguments. Note that the parameter changes by selecting different configurations in the first step. The command to start the profiled application typically looks like this:. When profiling startup of a Java 5 application, you may also want to add another parameter -Dcom. This will provide you with additional monitoring and troubleshooting features for the application like displaying CPU usage or taking heap dumps which are not available by default.
Once the target application is configured, it is important to submit the Profile Startup dialog first and after that start the application. The profiler checks whether the application hasn't been started prior to submitting the dialog and eventually asks the user to terminate it if started too soon.
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