JProfiler is an advanced tool designed for Java developers to dynamically analyze the performance and memory usage of Java applications with the aim of enhancing performance, developed by ej-technologies from Germany. It claims to be the industry’s most comprehensive all-in one Java profiler that helps resolve performance bottlenecks, pin down memory leaks and understand threading issues.

As a comprehensive profiling solution, JProfiler provides deep insights into CPU usage, memory allocation, thread activity, and more, enabling developers to identify bottlenecks and optimize the performance of their applications. With intuitive interface, it offers a variety of profiling modes, including CPU profiling, memory profiling, and thread profiling, allowing users to capture detailed snapshots of their application’s behavior during runtime.

JProfiler is able to seamlessly integrate with popular IDEs like IntelliJ IDEA, Eclipse, and Apache NetBeans. This integration allows developers to start profiling with just a few clicks, making it accessible even to those new to performance tuning. It also supports remote profiling, which is essential for monitoring applications running on servers or cloud environments. By connecting to a remote JVM, developers can gain insights into the application’s performance in a production-like setting without compromising its stability.

Additionally, JProfiler includes advanced features such as leak detection, which helps identify objects that are not being properly garbage-collected, thereby preventing memory leaks. Besides, its intuitive visualizations and detailed reports help developers understand complex data quickly, facilitating informed decision-making regarding code optimization.

In conclusion, JProfiler serves as an invaluable tool for creating detailed profiles of Java applications. Whether it’s fine-tuning methods for faster execution or managing memory usage more effectively, JProfiler serves as an invaluable asset in a developer’s toolkit, helping to deliver high-performance Java applications.

// Key Features //

Feature	Description
Deep insight into JDBC and JPA	Databases calls are a top source for performance problems. JProfiler is the tool that helps you to find and fix them in record time.
Built-in support for Kubernetes and Docker	Profiling JVMs in Kubernetes and Docker is hard. With JProfiler, you simply select them in the JProfiler UI.
Zero-configuration remote profiling	With JProfiler, you just need SSH credentials for a remote machine to profile a JVM that is running on it. No remote installation required.
Advanced profiling of HTTP calls	JProfiler is the expert tool for analyzing HTTP performance problems. Incoming calls, outgoing calls – JProfiler can even track calls across multiple JVMs.
Excellent support for Spring & JEE	JProfiler understands Spring and JEE components and combines their high-level information with the low-level information of method calls.
MongoDB performance analysis	One of JProfiler’s many high-level probes measures MongoDB calls. You wll solve problems much faster than with simpler profilers that just show method calls.
Live profiling data	With JProfiler, you do not have to record all data before you can see it. The UI shows you profiling data as it recorded, wherever it is feasible.
Profile from your IDE	JProfiler offers IDE plugins for IntelliJ IDEA, eclipse and Netbeans. Start your profiling sessions with a single click and automatically set the profiled classes to your own code.
Integration wizards for application servers	JProfiler has integration wizards for all popular application servers. They modify start scripts or config files as required to load the profiling agent at startup.
Offline profiling and triggers	Using a UI for profiling is not required. With offline profiling, you can use JProfiler’s powerful trigger system or the API to record data and save snapshots to disk.
Snapshot comparisons	Save and compare snapshots to find out how performance changes between different profiling runs.
Use the heap walker to find memory leaks	Finding the causes for memory leaks can be hard. JProfiler makes it easy with the heap walker, the most advanced tool for memory analysis there is.
Full support for HPROF/PHD	Native memory snapshots from the hotspot JVM (HPROF) or OpenJ9 (PHD) are read by JProfiler and displayed in the heap walker.
Full support for JFR	JFR is an important tool for recording data in production. The full power of JProfiler is available to record and analyze JFR snapshots.
Local request tracking	JProfiler lets you follow calls between different threads. Support is available for Executors, virtual threads, AWT, SWT, Kotlin coroutines and more.
Remote request tracking	JProfiler can track calls across JVM boundaries, including HTTP requests, RMI, gRPC, web services and remote EJBs.
Easily create custom probes	Define custom probes with scripts directly in the UI. For more advanced probes, use the embedded probe API for your own code and the injected probe API for 3rd party code.

// System Requirements //

• Java Runtime Environment (JRE)

// Universal License Keys //

For	OS	Name	License Key
v10.x	Linux	/	A-sX20UPqQqY-joSG4I2LRP#2531 A-OVvshqAe9i-qcT6XHjPK7#0104 S-Vs7Hcgytxc-0zXxT0tdme#2377 S-30u9NtguWi-BVoUbtlQrX#741 S-o7SDPDyM5C-AtsMufUUaT#12143 L-anUXrQtLYT-wRBN3A13O1#19267 S-PjA3C3AebF-oGBSZ623rm#241510 A-rPpKel7h6M-eOjqopPtc9#1185 L-3l8FE6Hdyk-YC8XONe4bA#877 A-APFjlahVqh-vD6YfhgvmY#7122
v14.x	Windows	AppNee Freeware Group.	L-J14-AppNee Freeware Group.#32389-xk8uej3vcuu8t#436b

// Edition Statement //

AppNee provides the JProfiler multilingual full installers and universal license keys for Windows, as well as pre-activated full installers for Mac and Linux.

// Installation Notes //

for v14.0.4 on Windows:

1. Download and install JProfiler
2. Run program, select ‘Configure permanent license‘, select ‘License key‘, input the license info (leave “Company” field blank), and click ‘OK‘
3. Done

// Related Links //

• JProfiler Documentation

// Download URLs //

Version	Download	Size
Latest		n/a
for Windows
v14.0.4		142 MB
for Mac
v13.0		144 MB
for Linux
v10.1.5		55.8 MB

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