Java Virtual Machine Garbage Collection and Its Performance Impact

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  • ixy-languages

    A high-speed network driver written in C, Rust, C++, Go, C#, Java, OCaml, Haskell, Swift, Javascript, and Python

    Secondly, this chart shows that Java compares quite favorably to practically all other managed languages, and OCaml as well. The point being you can go quite a ways without explicit stack allocation. Java is used in HFT and other low latency applications (although the writing style is different from your normal Java app), so it's possible to write very high performant code with it. Valhalla will only push the boundaries further.

  • valhalla

    https://openjdk.java.net/projects/valhalla (by openjdk)

    Repo: https://github.com/openjdk/valhalla

  • Scout APM

    Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.

  • .NET Runtime

    .NET is a cross-platform runtime for cloud, mobile, desktop, and IoT apps.

    It is in certain cases. Not all optimizations can be done at runtime, otherwise you wouldn't have the CLR folks for example workin on implementing devirtualization (https://github.com/dotnet/runtime/issues/7541), which the JVM is very good at. Or things like dynamic inlining which enables enabling and disabling JFR "for free". Here are some good talks

  • cats

    Lightweight, modular, and extensible library for functional programming.

    Example of how it makes life worse

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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