Async Ruby VS Ruby on Rails

Recently I've started Codecrafters' Build your own Redis (which I highly recommend!). One of the first steps is to make a TCP server that can accept more than one connection. I noticed that all the provided solutions use threads or IO#Select, and none of them use a fiber-based solution with Async. In this really short article, I'll show how one could achieve the result using Async.

Since the threading problem is specific to the Puma web server, let's look at another option: Falcon. This is a new, highly concurrent Rack-compliant web server built on the async gem. It uses Ruby Fibers instead of Threads, which are cheaper to create and have much lower overhead.

Async is a composable asynchronous I/O framework for Ruby. It allows you to do things concurrently using Fibers. Since 3.0, Ruby has a fiber scheduler and Ruby core supports it. This means you can have non-blocking I/O without much effort, for example, when using Net::HTTP. If you perform a blocking operation, such as an HTTP call, inside a fiber, it will immediately yield so that another fiber can become active and do some useful work instead of blocking and waiting for the HTTP call to complete.

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.

Ruby on Rails open source projects. Contribute and learn at the same time.

Speed of Development: Frameworks such as Django or Rails accelerate the development process.

This ecosystem is fueled by repositories hosting powerful languages, functions, and versatile tools—from backend frameworks like Django and Ruby on Rails to containerization with Docker and distributed version control via Git. Moreover, indie hackers can also utilize open source design tools (e.g. GIMP, Inkscape) and analytics platforms such as Matomo.

Frameworks such as Django and Ruby on Rails simplify web development, while tools like Docker ensure consistency across environments.

Ruby on Rails (RoR) is one of the most renowned web frameworks. When combined with SQL databases, RoR transforms into a powerhouse for developing back-end (or even full-stack) applications. It resolves numerous issues out of the box, sometimes without developers even realizing it. For example, with the right callbacks, complex business logic for a single API action is automatically wrapped within a transaction, ensuring ACID (Atomicity, Consistency, Isolation, Durability) compliance. This removes many potential concerns from the developer’s plate. Typically, developers only need to define a functional data model and adhere to the framework’s conventions — sounds easy, right?

As it's just you I'd stick with Ruby on Rails 8[1] as you already know it and I think it could realistically easily achieve what you're proposing.

There's lots of libraries to for calling out external AI services. e.g. something like FastMCP[2] From the sound of it that's all you need.

I'd use Hotwire[3] for the frontend and Hotwire Native if you want to rollout an app version quickly. I'd back it with SolidCache, SolidQueue, etc

I'd use Kamal[4] to run it on cheap hosting using on something cheap from Hetzner.

1. https://rubyonrails.org/

2. https://github.com/yjacquin/fast-mcp

3. https://hotwired.dev/

4. https://kamal-deploy.org/

Once again, Rails is ahead of the curve on this:

https://github.com/rails/rails/pull/54693

One of the standout benefits of open source software is its cost-effectiveness. Indie hackers can leverage robust tools such as MySQL and Python, which eliminate the financial barrier to high-quality software solutions. Frameworks like Django and Ruby on Rails enable swift development cycles, reducing the time-to-market for innovative ideas. This low-cost, high-efficiency approach allows entrepreneurs to focus on their core missions without worrying about expensive licensing fees.

Rails 8 New Features