Puma VS Async Ruby

As we use Puma as our webserver for our rails application, I quickly went to Puma's config file which typically resides in config/puma.rb. The config was set as

They do! It's in the first section of the readme on the repo:

Start with service with systemd

# Use the Puma web server [https://github.com/puma/puma] gem "puma", "~> 5.0" # Build JSON APIs with ease [https://github.com/rails/jbuilder] # gem "jbuilder" gem 'rack-cors' gem "devise" gem "jsonapi-serializer" gem 'devise-jwt' gem 'active_model_serializers' gem 'followability' gem 'dotenv-rails', groups: [:development, :test, :production] gem 'sprockets' # Use Redis adapter to run Action Cable in production # gem "redis", "~> 4.0" # Use Kredis to get higher-level data types in Redis [https://github.com/rails/kredis] # gem "kredis" # Use Active Model has_secure_password [https://guides.rubyonrails.org/active_model_basics.html#securepassword] # gem "bcrypt", "~> 3.1.7" # Windows does not include zoneinfo files, so bundle the tzinfo-data gem gem "tzinfo-data", platforms: %i[ mingw mswin x64_mingw jruby ] # Reduces boot times through caching; required in config/boot.rb gem "bootsnap", require: false # Use Active Storage variants [https://guides.rubyonrails.org/active_storage_overview.html#transforming-images] # gem "image_processing", "~> 1.2" # Use Rack CORS for handling Cross-Origin Resource Sharing (CORS), making cross-origin AJAX possible # gem "rack-cors" group :development, :test do # See https://guides.rubyonrails.org/debugging_rails_applications.html#debugging-with-the-debug-gem gem "debug", platforms: %i[ mri mingw x64_mingw ] end group :development do gem "sqlite3", "~> 1.4" # Speed up commands on slow machines / big apps [https://github.com/rails/spring] # gem "spring" end group :production do gem 'pg' end

source "https://rubygems.org" git_source(:github) { |repo| "https://github.com/#{repo}.git" } ruby "3.1.0" # Bundle edge Rails instead: gem "rails", github: "rails/rails", branch: "main" gem "rails", "~> 7.0.4", ">= 7.0.4.2" # The original asset pipeline for Rails [https://github.com/rails/sprockets-rails] gem "sprockets-rails" # Use sqlite3 as the database for Active Record gem "sqlite3", "~> 1.4" # Use the Puma web server [https://github.com/puma/puma] gem "puma", "~> 5.0" # Use JavaScript with ESM import maps [https://github.com/rails/importmap-rails] gem "importmap-rails" # Hotwire's SPA-like page accelerator [https://turbo.hotwired.dev] gem "turbo-rails" # Hotwire's modest JavaScript framework [https://stimulus.hotwired.dev] gem "stimulus-rails" # Build JSON APIs with ease [https://github.com/rails/jbuilder] gem "jbuilder" gem "mongoid" gem "mongoid-grid_fs" gem 'bootstrap', '~> 5.2.2' #sourced from https://github.com/twbs/bootstrap-rubygem gem 'rack-cors' # Windows does not include zoneinfo files, so bundle the tzinfo-data gem gem "tzinfo-data", platforms: %i[ mingw mswin x64_mingw jruby ] # Reduces boot times through caching; required in config/boot.rb gem "bootsnap", require: false

That doesn't mean one excludes the other. Gems like Puma use the instance_eval method for their configuration file.

Anyway I did it: https://github.com/puma/puma/issues/3003 It's quite more complicated: https://github.com/puma/puma/issues/2999 A fix is in progress: https://github.com/puma/puma/pull/3002

The Async gem is the natural successor, It's actively maintained, and allows you write synchronous code is if it wasn't non-blocking, and most libraries don't need any special support for Async (exceptions are gems with C extensions that do I/O and DB libraries with connection pooling that would otherwise be thread-based).

https://github.com/socketry/async uses coroutines and I think in general it’s been a great model with very few downsides in practice.

There's async I/O. Here's a library that leans on Ruby 3's fiber scheduler.

Hey folks, wanted to show this off and get feedback. Still early/experimental but there are quite a few concepts I'm excited about here. This project came about while writing a program in Go and loving its approach to concurrency. Being a long-time Rubyist I immediately started to think about what similar concepts might look like in Ruby.

I set out with two main design constraints:

1. Lightweight: I didn't want routines to be backed by fibers or threads. Having been involved some in the async project (https://github.com/socketry/async), I had some experience using fibers for concurrency but was curious if they could be avoided.

2. Explicitness: Routine behavior must be written to describe exactly how it is to behave. I always felt like concurrent code was hard to fully understand because of the indirection involved. On the spectrum between tedium and magical I wanted to err more on the side of tedium with Goru.

Goru routines are just blocks that are called once for every tick of the reactor. It is up to the developer to implement behavior in terms of a state machine, where on each tick the routine takes some action and then updates the state of the routine for the next tick. This fulfills both design constraints:

1. Because routines are just blocks, they weigh in at about ~345 bytes of memory overhead.

2. Routine behavior is explicit because it is written as a state machine inside the block.

Couple more features worth noting:

* Goru includes channels for buffered reading/writing (similar to channels in Go).

* Goru ships with primitives for non-blocking IO to easily build things like http servers.

Curious your thoughts!

For those who are interested here is the question.

Welcome! Ruby isn't exactly "dying", but the hype/popularity is definitely fading. This is primarily because Ruby is no longer "new", most of Ruby's popularity came from Rails, and now Rails is no longer the "new hotness". However, Ruby still has lots of awesome features and lots of awesome other libraries and frameworks, such as the new fancy irb gem that uses reline, nokogiri, chunky_png, the async gems, Dragon Ruby, SciRuby, Ronin, and the new Hanami web framework.

In Github, there is a Async Gem(https://github.com/socketry/async).