Puma VS go

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

A Discussion about including this package in Go as encoding/json/v2 has been started on the Go Github project on 2023-10-05. Please provide your feedback there.

I like the Principles section. Very measured and practical approach to releasing new stdlib packages. https://go.dev/blog/randv2#principles

The end of the post they mention that an encoding/json/v2 package is in the works: https://github.com/golang/go/discussions/63397

There used to be the GO FIPS branch :

https://github.com/golang/go/tree/dev.boringcrypto/misc/bori...

But it looks dead.

And it looks like https://github.com/golang-fips/go as well.

I'm not sure what exactly you mean by acknowledgement, but here are some counterexamples:

- A proposal for sum types by a Go team member: https://github.com/golang/go/issues/57644

- The community proposal with some comments from the Go team: https://github.com/golang/go/issues/19412

Here are some excerpts from the latest Go survey [1]:

- "The top responses in the closed-form were learning how to write Go effectively (15%) and the verbosity of error handling (13%)."

- "The most common response mentioned Go’s type system, and often asked specifically for enums, option types, or sum types in Go."

I think the problem is not the lack of will on the part of the Go team, but rather that these issues are not easy to fix in a way that fits the language and doesn't cause too many issues with backwards compatibility.

[1]: https://go.dev/blog/survey2024-h1-results

Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention.

Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!

net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements

Make sure you have Go installed https://go.dev/.