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problem](http://psy-lob-saw.blogspot.ru/2016/02/why-most-sampling-java-profilers-are.html).\nIt features HotSpot-specific API to collect stack traces\nand to track memory allocations. The profiler works with\nOpenJDK and other Java runtimes based on the HotSpot JVM.\n\nUnlike traditional Java profilers, async-profiler monitors non-Java threads\n(e.g., GC and JIT compiler threads) and shows native and kernel frames in stack traces.\n\nWhat can be profiled:\n\n- CPU time\n- Allocations in Java Heap\n- Native memory allocations and leaks\n- Contended locks\n- Hardware and software performance counters like cache misses, page faults, context switches\n- and [more](docs/ProfilingModes.md).\n\nSee our [3 hours playlist](https://www.youtube.com/playlist?list=PLNCLTEx3B8h4Yo_WvKWdLvI9mj1XpTKBr)\nto learn about more features.\n\n# Download\n\n### Stable release: [4.4](https://github.com/async-profiler/async-profiler/releases/tag/v4.4)\n\n- Linux x64: [async-profiler-4.4-linux-x64.tar.gz](https://github.com/async-profiler/async-profiler/releases/download/v4.4/async-profiler-4.4-linux-x64.tar.gz)\n- Linux arm64: [async-profiler-4.4-linux-arm64.tar.gz](https://github.com/async-profiler/async-profiler/releases/download/v4.4/async-profiler-4.4-linux-arm64.tar.gz)\n- macOS arm64/x64: [async-profiler-4.4-macos.zip](https://github.com/async-profiler/async-profiler/releases/download/v4.4/async-profiler-4.4-macos.zip)\n- Profile converters: [jfr-converter.jar](https://github.com/async-profiler/async-profiler/releases/download/v4.4/jfr-converter.jar)\n\n### Nightly builds\n\n[The most recent binaries](https://github.com/async-profiler/async-profiler/releases/tag/nightly) corresponding\nto the latest successful commit in `master`.\n\nFor a build corresponding to one of the previous commits, go to\n[Nightly Builds](https://github.com/async-profiler/async-profiler/actions/workflows/test-and-publish-nightly.yml),\nclick the desired build and scroll down to the artifacts section. These binaries are kept for 30 days.\n\n# Quick start\n\nIn a typical use case, profiling a Java application is just a matter of a running `asprof` with a PID of a\nrunning Java process.\n\n```\n$ asprof -d 30 -f flamegraph.html \u003cPID\u003e\n```\n\nThe above command translates to: run profiler for 30 seconds and save results to `flamegraph.html`\nas an interactive [Flame Graph](docs/FlamegraphInterpretation.md) that can be viewed in a browser.\n\n[![FlameGraph](/.assets/images/flamegraph.png)](https://htmlpreview.github.io/?https://github.com/async-profiler/async-profiler/blob/master/.assets/html/flamegraph.html)\n\nFind more details in the [Getting started guide](docs/GettingStarted.md).\n\n# Building\n\n### Build status\n\n[![Build Status](https://github.com/async-profiler/async-profiler/actions/workflows/test-and-publish-nightly.yml/badge.svg?branch=master)](https://github.com/async-profiler/async-profiler/actions/workflows/test-and-publish-nightly.yml)\n\n### Minimum requirements\n\n- make\n- GCC 7.5.0+ or Clang 7.0.0+\n- Static version of libstdc++ (e.g. on Amazon Linux 2023: `yum install libstdc++-static`)\n- JDK 11+\n\n### How to build\n\nMake sure `gcc`, `g++` and `java` are available on the `PATH`.\nNavigate to the root directory with async-profiler sources and run `make`.\nasync-profiler launcher will be available at `build/bin/asprof`.\n\nOther Makefile targets:\n\n- `make test` - run unit and integration tests;\n- `make release` - package async-profiler binaries as `.tar.gz` (Linux) or `.zip` (macOS).\n\n### Supported platforms\n\n|           | Officially maintained builds | Other available ports                     |\n| --------- | ---------------------------- | ----------------------------------------- |\n| **Linux** | x64, arm64                   | x86, arm32, ppc64le, riscv64, loongarch64 |\n| **macOS** | x64, arm64                   |                                           |\n\n# Documentation\n\n## Basic usage\n\n- [Getting Started](docs/GettingStarted.md)\n- [Profiler Options](docs/ProfilerOptions.md)\n- [Profiling Modes](docs/ProfilingModes.md)\n- [Integrating async-profiler](docs/IntegratingAsyncProfiler.md)\n- [Profiling In Container](docs/ProfilingInContainer.md)\n\n## Profiler output\n\n- [Output Formats](docs/OutputFormats.md)\n- [FlameGraph Interpretation](docs/FlamegraphInterpretation.md)\n- [JFR Visualization](docs/JfrVisualization.md)\n- [Converter Usage](docs/ConverterUsage.md)\n- [Heatmap](docs/Heatmap.md)\n\n## Advanced usage\n\n- [CPU Sampling Engines](docs/CpuSamplingEngines.md)\n- [Stack Walking Modes](docs/StackWalkingModes.md)\n- [Advanced Stacktrace Features](docs/AdvancedStacktraceFeatures.md)\n- [Profiling Non-Java Applications](docs/ProfilingNonJavaApplications.md)\n\n## Troubleshooting\n\nFor known issues faced while running async-profiler and their detailed troubleshooting,\nplease refer [here](docs/Troubleshooting.md).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fasync-profiler%2Fasync-profiler","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fasync-profiler%2Fasync-profiler","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fasync-profiler%2Fasync-profiler/lists"}