It offers a custom probe wizard that allows you to define your custom probes directly in the GUI. Request tracking connects call sites with execution sites between different threads with hyperlinks in the call tree view. The innovative concept of request tracking makes profiling of parallel and multi-threaded programming much easier. It can open HPROF snapshots that have been taken with JVM tools such as jconsole or jmap or that have been triggered by the -XX:+HeapDumpOnOutOfMemoryError JVM parameter. Alternatively, you can create comparison reports programmatically with the command line comparison tool or the comparison ant task. It offers a rich comparison facility to see what has changed between two or more snapshots. In the app, you can save a snapshot of all current profiling data to disk.

At a later time, you can open these snapshots in the GUI or programmatically export profiling views with the command line export tool or the export ant task. You do not have to connect with the GUI to the profiled application in order to profile it: With offline profiling, you can use JProfiler's powerful trigger system or the API to control the profiling agent and save snapshots to disk. In addition, It provides numerous integration wizards for all popular application servers that help you in setting up your application for profiling. The profiled application can not only run on your local computer, but It can also attach to a profiled application over the network. To eliminate the need for session configuration, you can use one of the many IDE plugins to profile the application from within your favorite IDE.īy modifying the VM parameters of the java start command you can get any Java application to listen for a connection from the JProfiler GUI. Once you define how your application is started, It can profile it and you immediately see live data from the profiled JVM. And what's more, all these views are also available for your own custom probes that you can configure on the fly within JProfiler. Each of these probes has its own set of useful views that gives you general insight, highlights performance problems, and allows you to trace single events.

In addition to the Java EE subsystems like JDBC, JPA/Hibernate, JSP/Servlets, JMS, web services, and JNDI, It also presents high-level information about RMI calls, files, sockets, and processes. It has a number of probes that show you higher-level data from interesting subsystems in the JRE. With its JEE support, the program bridges the gap between a code profiler and a high-level JEE monitoring tool. Also, It adds a semantic layer on top of the low-level profiling data, like JDBC, JPA/Hibernate, JMS, and JNDI calls that are presented in the CPU profiling views. In addition, the call tree is split up for each request URI. For example, at the JEE aggregation level, you see the call tree in terms of the JEE components in your application. From the JDBC timeline view that shows you all JDBC connections with their activities, through the hot spots view that shows you slow statements to various telemetry views and a list of single events, the database probes are an essential tool for getting insight into your database layer.ĭedicated support for JEE is present in most views in the app.

JProfiler's JDBC and JPA/Hibernate probes as well as the NoSQL probes for MongoDB, Cassandra, and HBase show the reasons for slow database access and how slow statements are called by your code. On all levels, It has been carefully designed to help you get started with solving your problems.ĭatabase calls are the top reasons for performance problems in business applications. Configuring sessions is straightforward, third-party integrations make getting started a breeze, and profiling data is presented in a natural way. JProfiler is just that: simple and powerful at the same time.

At the same time, you do not want to spend time learning how to use the tool. When your profile, you need the most powerful tool you can get. JProfiler's intuitive UI helps you resolve Java-based applications and performance bottlenecks, pin down memory leaks, and understand threading issues.

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