I guarantee the language is not the limiting factor in a web scaling problem.

Not in the vast majority of practical use-cases anyway.

There'll obviously always be the exceptions like Twitter having to migrate off Ruby (Well rails) because scaling is just too hard. But those are exceptions.

And Rails back then was extremely slow. There have always been web frameworks for Ruby with way less overhead.

My direct experience with combating scaling issues in Rails applications always comes back to Rails itself. (ab)uses of Active record, specifically. And sometimes they're very hard to detangle. After well over a decade of doing this sort of work I'm simply not interested in seeing yet another Rails mess.

I do agree that Rails is often a cause of bad performance.

Not in the first place because of its own, or Ruby's poor performance, but because it's easy to write horrible code, and hard to write nice code in it. AR is a very leaky abstraction over a DB. A horrible query always a mere has_many, sort or default scope away. It's MVC horribly unsuited to manage and isolate business logic. The result often indeed being code that performs terrible.

And then there is PHP... which is also insanely fast now compared to even 5 years ago, it is stateless by default, but you can also run application servers in long threads for even more performance. For 2023, the PHP community is seriously committing resources to making this long running scenario more efficient and performant.

Except for the ML/AI use case, Laravel has more batteries included I would argue than Django. A ton more features when compared to Rails. All of them are first party solutions for things like Auth/Queues/Monitoring/Payments/Testing/Local Development and even some starter kits.

If you're building a new web based company that isn't focused on building the next AI avatar generator, Laravel should be on your radar if you're also considering Rails or Django.

I learned about DB migrations with Laravel. Now I use them everywhere :)

If anything, the popularity of the major cloud providers is evidence that efficiency in the sense of computing power per dollar matters very little to most, as their pricing is extortionate.

Ruby is no slower than Python, it is actually often faster. And many of the important Ruby libraries are written in C.

Meanwhile, the world is moving to Rust, Go, Julia, fast compiled languages.

And C++20 is actually very nice to use.

In contrast, these two, Ruby and Python, are slogs.