![]() ![]() In fact, you can start your application with the JProfiler agent and attach the JProfiler GUI at a later time. ![]() JProfiler records data only when you need it. And the large number of integrations wizards for nearly all application servers on the market ensures that you can get started with a few clicks and not with reading documentation. Integrations into all popular IDEs makes profiling during development as easy as running your application. JProfiler integrates into your environment: We provide native agent libraries for a wide range of platforms, both for 32-bit and 64-bit JVMs. ![]() The ant tasks bundled with JProfiler allow you to perform all command line operations from your build script.īroadest support for platforms, IDEs and application servers This includes the ability to profile, export snapshot data and create snapshots comparisons from the command line. JProfiler has strong support for command line operations. The rich functionality around snapshot comparisons makes it easy to track progress. JProfiler is ideally suited as a QA tool, both during development as well as for dedicated QA teams. With its JEE support, JProfiler bridges the gap between a code profiler and a high-level JEE monitoring tool. Also, JProfiler adds a semantic layer on top of the low-level profiling data, like JDBC, JMS and JNDI calls that are presented in the CPU profiling views. For example, in the JEE aggregation level you see the call tree in terms of the JEE components in your application. Thread profiling not only has a separate view section in JProfiler, it is also tightly integrated into the CPU profiling views.Įxcellent support for Java Enterprise Editionĭedicated support for JEE is present in most views in JProfiler. A whole range of otherwise opaque problems can be solved when using JProfiler, such as increasing liveness in a multi-threaded application that uses too much locking. Without a thread profiler, you only have a minimal chance to tackle such issues. Problems related to threading are much more frequent than one might assume. Call tree view filters, aggregation levels and thread status selectors are just some examples of JProfiler's versatility in this area. With JProfiler, you have a decisive advantage when trying to find the reason for a problem. However, CPU data can be overwhelming in its level of detail and the way data is collected can make a huge difference in usability. Questions like why objects are not garbage collected are answered with a single click of the mouse.įixing performance bottlenecks is the most frequent use case for a profiler. Each view provides you with essential insights on the selected objects. Each view allows you to create new object sets based on the displayed data. 5 different views show different aspects of the current set of objects. JProfiler's heap walker offers you an intuitive interface to solve both simple and complex memory problems. In addition, you can save snapshots at any time, interactively as well as programmatically.įinding a memory leak can be impossible without the right tool. ![]() For a large number of use-cases, this ability provides you with an extremely fast path to a solution. CPU, memory and thread profiling views are updated live and can be inspected without the need to wait for the measurement to complete. With JProfiler you can immediately observe profiling data as your application is running. On all levels, JProfiler has been carefully designed to help you get started with solving your problems. Configuring sessions is straight-forward, 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 you profile, you need the most powerful tool you can get. ![]()
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