This may be useful, for example, to examine an unresponsive application. IntelliJ itself has no profiler, only YourKit Agent to profile the IDE itself, what. For long term production monitoring of performance then Dropwizard metrics or any kind of statsd type thing works well (have used datadog a lot and influxdb). I always found the one in IntelliJ itself pretty good. The produced data captures the state of all threads. JProfilers integration into IntelliJ IDEA Ingo Kegel 430 subscribers Subscribe 23K views 5 years ago This screencast shows the JProfiler plugin for IntelliJ IDEA. YourKit and JProfiler are too expensive for me. Thread dumps - allow you to see the program state at a particular instant. This data is useful for investigating memory-related issues. Memory snapshots – allow you to analyze how memory is used at a particular instant. Async Profiler a very accurate profiler that can also collect native call and memory allocation data. This may be useful for detecting hot code, opportunities for optimization, or just discovering how a program operates at runtime. IntelliJ IDEA provides integration with the following profilers: Java Flight Recorder the standard profiling tool shipped as part of the JDK. This type of diagnostics gives you the resource consumption metrics over time and may be useful as a monitoring tool or, in the case of a performance problem, a starting point for further investigation.įor a hands-on example, see this tutorial.ĬPU and allocation profiling – allow you to see how CPU and memory resources were utilized during a particular period of time. ![]() They all have their own area of application:ĬPU and memory live charts – allow you to monitor a process in real time. Requirements: IDEA 15.x+ in legacy mode or 2016.3+ in fully featured mode. IntelliJ IDEA profiler is not a single tool but rather a suite of related tools. With JProfiler integrated into JetBrain's IntelliJ IDEA, JProfiler can be invoked from within the IDE without any further need for session configuration. Get a better understanding of how a program operates under the hood Identify hot spots and opportunities for optimization (not necessarily related to a performance problem)Īssess or compare the performance of different solutions Identify bugs, bottlenecks and diagnose poor performance ![]() If you are new to profiling and want to start right away, check out the available tutorials. For example the CPU profiler can collect data during arbitrarily large periods of time, like hours or even days of program operation. Profiling can be instantaneous, like capturing a memory snapshot, or long-running. The collected data relates to various aspects of program operation, such as CPU usage, memory allocation, and interaction between the threads. Please refer to this link on our documentation page. Profiling is a type of runtime analysis that operates on large amounts of runtime data and gives you a birds-eye view of what is happening inside a process. Please also refer to our documentation on Profilers on our website.
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