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JProfiler’s intuitive user interface helps you solve Java-based applications and performance bottlenecks, identify memory leaks, and understand threading issues. When it’s your profile, you need the most powerful tool you can have. At the same time, you don’t want to spend time learning how to use the tool. JProfiler 64-bit is just that: simple and powerful at the same time. Configuring sessions is easy, third-party integrations make getting started easy, and profiling data is presented naturally. On all levels, it has been carefully designed to help you start solving your problems. Database calls are the main cause of performance problems in business applications. The JDBC and JPA/Hibernate probes from JProfiler as well as the NoSQL probes for MongoDB, Cassandra, and HBase show what causes slow database access and how slow your code invokes.

From a JDBC timeline view that shows you all of the JDBC connections with their activities, through a hotspot display that shows slow statements to various telemetry views and a list of individual events, database investigations are an essential tool for gaining insight into your database layer. Dedicated support for JEE is available in most of the views in the app. For example, at the JEE assembly level, you see the calling tree in terms of the JEE components in your application. Additionally, the connection tree is split for each request URI. It also adds a semantic layer on top of low-level profiling data, such as JDBC, JPA/Hibernate, JMS, and JNDI calls rendered in CPU definition views. With JEE support, the software bridges the gap between a code profiler and a high-level JEE monitoring tool.

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It contains several sensors that show you higher-level data from interesting subsystems in JRE. In addition to Java EE subsystems such as JDBC, JPA/Hibernate, JSP/Servlets, JMS, Web Services, and JNDI, it also provides high-level information about RMI calls, files, sockets, and processes. Each of these sensors has its own set of useful displays that give you an overview, highlight performance issues, and allow you to track individual events. What’s more, all of these views are also available for the custom sensors that you can configure on the go within the JProfiler.JProfiler is a powerful tool that you can use to dynamically characterize Java-based applications and enable you to analyze them in the hope of improving performance. With it, you can create a server a Java Web Start application, and even applets that run in your browser as long as they are supported by the Java plugin.

If you’re having a hard time figuring out how everything works and what you need to do to create an app profile, JProfiler offers you a great deal of help from the first to the last step of the process. It offers more than a comprehensive interface which should not cause you any problems if you are familiar with how a Java application works and how it is structured. While performing the analysis, JProfiler provides all information accurately in categories such as threads”, “Monitors and Locks”, “Telemetry” and “Databases” “. Each of these holds and displays data in detailed graphs and explicit numbers. An active can keep track of updated views and continually display how memory is being used by classes and object packages. At any time, you can highlight the existing values ​​and compare them with the new ones for the duration of the operation.

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With Heap Walker, you can create a snapshot of the entire stack and extract detailed information about its entire structure. For groups of selected objects, you can choose from categories, customizations, largest objects, references, and time views. Since memory usage is a major factor in building a successful and functional simple way to log a connection tree. It can create and display a cumulative tree from top to bottom that shows you all the call sequences in different ways. In conclusion, considering is a very practical tool that you can use to create detailed profiles for Java applications.

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Live profiling of a local session

  • Once you decide how to start your application, it can profile it and you will immediately see data directly from the JVM file. To eliminate the need to configure the session, you can use one of the many IDE extensions to configure the application from within your preferred IDE.

Live profiling of a remote work session

  • By modifying the VM parameters of the java start command, you can get any Java application to listen for a connection from the JProfiler GUI. An application made from a profile can not only be run on the local computer but also can be attached to a profile application over the network. Additionally, it offers several integration wizards for all popular application servers that help you prepare your application for profiling.

Offline profiling and stimuli

  • You don’t have to call the described application’s GUI to shape it: with offline profiling, you can use JProfiler’s powerful OS or API to control the profiling agent and save snapshots to disk. Later, you can open these snapshots in the GUI or programmatically export the renderings using the command line export tool or the export task.

Snapshot Comparisons

  • In the application, you can save a snapshot of all current configuration data to disk. It provides a rich comparison method to see what has changed between two or more snapshots. Alternatively, you can create comparison reports programmatically using the command line comparison tool or the comparison task.

Show HPROF Snapshot

  • It can open HPROF snapshots taken with JVM tools like jconsole or jmap or triggered by the -XX: + HeapDumpOnOutOfMemoryError JVM parameter.

order tracking

  • The innovative concept of order tracking makes it much easier to attribute parallel and multithreaded programming. Request tracing links connection sites to execution sites between different threads with hyperlinks in the connection tree view.

Ease of creating custom sensors

  • It provides a custom probe wizard that allows you to define your custom probes directly in the GUI.


  • Standard profiling tools are great for tracking memory leaks and separating all memory usage by the JVM and the classes/objects responsible. The ability to manually run garbage collection and then review memory consumption can easily highlight categories and processes that are holding memory by mistake.
  • Good for tracking CPU usage, Java’s profiler usually provides a CPU sampling feature to track and group CPU time by class and method to help focus on hotspots.


  • requires a direct connection to the monitoring JVM; This ends up being limited to development environments in most cases. (Note: some definers can work off the thread and free up memory in a limited way.)
  • They slow down your app; A great deal of processing power is required for the high level of detail provided.

What’s New?

New features:

Bug fixes:

  • Failed to attach Kubernetes to SSH for the first connection attempt per host system
  • Eclipse plugin: fixed an exception if JRE is in a path longer than 80 characters
  • Some dialogs may have the wrong original window when opening multiple windows


  • Based on JProfiler diagnostics, the application does not experience any major performance issues or memory leaks. The next step of optimization is to improve the serialization efficiency of the objects.




System Requirements:

  • 256 MB+ RAM
  • 5 GB of hard disk space
  • Windows 10, 8.1, 8, 7, Vista, XP SP3
  • RAM 256 MB
  • 1.5 Gb Of Hard Disk Space Needed
  • 1 GHz Processor

How to Install?

  • First of all download software and install it
  • After installing go to “settings” > “Troubleshooting”
  • Now open the download folder
  • Open the cracked zip file with the license key
  • Use these keys for activation
  • After this reboot system
  • Done.

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