JProfiler

The user-friendly interface of JProfiler allows you to troubleshoot Java-based applications and performance bottlenecks, locate memory leaks, and grasp threading issues. When it comes to your profile, you should choose the most powerful tool available. You don't want to spend time learning how to use the tool. JProfiler is exactly what it sounds like: simple yet powerful. Configuring sessions is simple, third-party connectors make getting started a breeze, and profiling data is presented in an intuitive manner. On all levels, it has been carefully developed to assist you in getting started with problem-solving. 

Database calls are the leading cause of performance difficulties in commercial applications. JProfiler's JDBC and JPA/Hibernate probes, as well as the NoSQL probes for MongoDB, Cassandra, and HBase, reveal the causes of sluggish database access and how slow statements are called by your application. From the JDBC timeline view, which shows all JDBC connections and their activities, to the hot spots view, which reveals sluggish statements, to numerous telemetry views and a list of single events, database probes are a crucial tool for gaining insight into your database layer.

• Live profiling of a local session. 
• Live profiling of a remote session. 
• Snapshot Comparisons 
• Viewing an HPROF snapshot. 
• Easy to create custom probes. 
• Memory profiling 
• Allocation of hot spots 
• Biggest objects 
• CPU profiling 
• Thread history. 
• Control objects.

The majority of the app's views include dedicated JEE support. For example, at the JEE aggregation level, you can view the call tree in terms of the JEE components in your application. In addition, the call tree is divided for each request URI. It also provides a semantic layer to the low-level profiling data, such as JDBC, JPA/Hibernate, JMS, and JNDI calls, which are displayed in the CPU profiles. With JEE support, the application fills the gap between a code profiler and a high-level JEE monitoring tool. 

It includes a number of probes that display higher-level data from interesting subsystems within the JRE. In addition to Java EE subsystems such as JDBC, JPA/Hibernate, JSP/Servlets, JMS, web services, and JNDI, it provides high-level information on RMI calls, files, sockets, and processes. Each of these probes offers a unique set of useful views that provide overall insight, indicate performance issues, and enable you to trace individual events. Furthermore, all of these views are available for your own custom probes, which can be configured in real-time within JProfiler.

Features and Highlights

Live profiling of a local session
Once you've defined how your application starts, it can profile it and display real-time data from the profiled JVM. To avoid session configuration, utilize one of the many IDE plugins to profile the program from within your preferred IDE. 

Live profiling of a remote session
By changing the VM parameters of the java start command, you may make any Java application listen for a connection from the JProfiler GUI. The profiled application can not only run on your local computer, but it can also connect to another profiled application across the network. Furthermore, it has several integration wizards for all popular application servers to assist you in configuring your application for profiling. 

Offline Profiling and Triggers 
To profile a profiled program, you do not need to connect to it via the GUI. Offline profiling allows you to operate the profiling agent and save snapshots to disk using JProfiler's strong trigger system or API. You can later open these snapshots in the GUI or export profiling views programmatically using the command-line export tool or the export ant task. 

Snapshot Comparisons 
The software allows you to store a snapshot of all current profiling data to disk. It provides a comprehensive comparison tool for determining what has changed between two or more snapshots. Alternatively, you can generate comparison reports programmatically using the command-line comparison tool or the comparison ant job. 

Viewing an HPROF snapshot
It can open HPROF snapshots created using JVM tools like jconsole or jmap, or those triggered by the -XX:+HeapDumpOnOutOfMemoryError JVM argument. 

Request tracking
The novel technique of request tracking simplifies the profiling of parallel and multi-threaded programming significantly. Request tracking uses hyperlinks in the call tree view to connect call sites and execution sites across several threads. 

Easy to create custom probes
It has a custom probe wizard, which allows you to define custom probes directly in the GUI. The app deploys your custom probes to the profiled application, and you do not need to restart the profiled application to change or add custom probes.

Note: 10-day trial version. 

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