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Netty
Netty

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Rust

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Netty vs Rust: What are the differences?

Developers describe Netty as "Asynchronous event-driven network application framework". Netty is a NIO client server framework which enables quick and easy development of network applications such as protocol servers and clients. It greatly simplifies and streamlines network programming such as TCP and UDP socket server. On the other hand, Rust is detailed as "A safe, concurrent, practical language". Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.

Netty belongs to "Concurrency Frameworks" category of the tech stack, while Rust can be primarily classified under "Languages".

"High Performance" is the primary reason why developers consider Netty over the competitors, whereas "Guaranteed memory safety" was stated as the key factor in picking Rust.

Netty and Rust are both open source tools. It seems that Rust with 37.3K GitHub stars and 5.85K forks on GitHub has more adoption than Netty with 19.9K GitHub stars and 9.05K GitHub forks.

According to the StackShare community, Rust has a broader approval, being mentioned in 40 company stacks & 105 developers stacks; compared to Netty, which is listed in 11 company stacks and 14 developer stacks.

What is Netty?

Netty is a NIO client server framework which enables quick and easy development of network applications such as protocol servers and clients. It greatly simplifies and streamlines network programming such as TCP and UDP socket server.

What is Rust?

Rust is a systems programming language that combines strong compile-time correctness guarantees with fast performance. It improves upon the ideas of other systems languages like C++ by providing guaranteed memory safety (no crashes, no data races) and complete control over the lifecycle of memory.
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      What are some alternatives to Netty and Rust?
      Jetty
      Jetty is used in a wide variety of projects and products, both in development and production. Jetty can be easily embedded in devices, tools, frameworks, application servers, and clusters. See the Jetty Powered page for more uses of Jetty.
      Mina
      Mina works really fast because it's a deploy Bash script generator. It generates an entire procedure as a Bash script and runs it remotely in the server. Compare this to the likes of Vlad or Capistrano, where each command is run separately on their own SSH sessions. Mina only creates one SSH session per deploy, minimizing the SSH connection overhead.
      Apache Tomcat
      Apache Tomcat powers numerous large-scale, mission-critical web applications across a diverse range of industries and organizations.
      Akka
      Akka is a toolkit and runtime for building highly concurrent, distributed, and resilient message-driven applications on the JVM.
      RxJS
      RxJS is a library for reactive programming using Observables, to make it easier to compose asynchronous or callback-based code. This project is a rewrite of Reactive-Extensions/RxJS with better performance, better modularity, better debuggable call stacks, while staying mostly backwards compatible, with some breaking changes that reduce the API surface.
      See all alternatives
      Decisions about Netty and Rust
      StackShare Editors
      StackShare Editors
      Rust
      Rust
      Lua
      Lua

      To handle its growing observability needs, Postmates created and open sourced Cernan, a telemetry and logging aggregation server. Ceran is built on Rust and Lua, and can ingest data from many sources and then push or exposes what it’s collected to many destinations, or “sinks.” It can also create or manipulate in-flight data with programmable Lua filters.

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      James Cunningham
      James Cunningham
      Operations Engineer at Sentry · | 18 upvotes · 45K views
      atSentrySentry
      Rust
      Rust
      Python
      Python

      Sentry's event processing pipeline, which is responsible for handling all of the ingested event data that makes it through to our offline task processing, is written primarily in Python.

      For particularly intense code paths, like our source map processing pipeline, we have begun re-writing those bits in Rust. Rust’s lack of garbage collection makes it a particularly convenient language for embedding in Python. It allows us to easily build a Python extension where all memory is managed from the Python side (if the Python wrapper gets collected by the Python GC we clean up the Rust object as well).

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      marcoalmeida
      marcoalmeida
      C
      C
      Go
      Go
      Rust
      Rust
      Python
      Python

      One important decision for delivering a platform independent solution with low memory footprint and minimal dependencies was the choice of the programming language. We considered a few from Python (there was already a reasonably large Python code base at Thumbtack), to Go (we were taking our first steps with it), and even Rust (too immature at the time).

      We ended up writing it in C. It was easy to meet all requirements with only one external dependency for implementing the web server, clearly no challenges running it on any of the Linux distributions we were maintaining, and arguably the implementation with the smallest memory footprint given the choices above.

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      Rust
      Rust
      C++
      C++

      Initially, I wrote my text adventure game in C++, but I later rewrote my project in Rust. It was an incredibly easier process to use Rust to create a faster, more robust, and bug-free project.

      One difficulty with the C++ language is the lack of safety, helpful error messages, and useful abstractions when compared to languages like Rust. Rust would display a helpful error message at compile time, while C++ would often display "Segmentation fault (core dumped)" or wall of STL errors in the middle. While I would frequently push buggy code to my C++ repository, Rust enabled me to only even submit fully functional code.

      Along with the actual language, Rust also included useful tools such as rustup and cargo to aid in building projects, IDE tooling, managing dependencies, and cross-compiling. This was a refreshing alternative to the difficult CMake and tools of the same nature.

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      Dan Larsen
      Dan Larsen
      CTO at FlowStack · | 7 upvotes · 30.4K views
      atFlowStack ApSFlowStack ApS
      C++
      C++
      C
      C
      Rust
      Rust
      Go
      Go

      At FlowStack we write most of our backend in Go. Go is a well thought out language, with all the right compromises for speedy development of speedy and robust software. It's tooling is part of what makes Go such a great language. Testing and benchmarking is built into the language, in a way that makes it easy to ensure correctness and high performance. In most cases you can get more performance out of Rust and C or C++, but getting everything right is more cumbersome.

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      Interest over time
      Reviews of Netty and Rust
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      How developers use Netty and Rust
      Avatar of Marc3842h
      Marc3842h uses RustRust

      Rust is used in Shirogane (https://github.com/Marc3842h/shirogane).

      Shirogane is a osu! beatmap mirror built for shiro. We use Rust because of memory safe but still low level and high performance.

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