I totally agree with you. This article was really a response to a lot of hype around async web servers in Python.

I kind of knew what to expect, but wanted to throw real numbers against it. I was surprised to see a 10x slowdown with the async switch in Django.

Only reliable web server is an Erlang web server.

No connection proxy in this case. The pooled sync test uses client side pooling which shows better performance. Using a proxy would have the same effect, just moves the pooling to server side.

It is using the async driver. I am using FastAPI’s thin wrapper around SQLAlchemy which also does some slight tuning for it to work better with FastAPI in an async mode.

This is running with concurrent requests. 64 workers firing request to be exact.

I will take a “No AI” label so I can filter down to the games I want to buy.

There are various rating systems, but it boils down to comprehension. 6th grade reading level is about the level to be able to follow the plot of Harry Potter.

Do ya’ll just not use linters?

If Microsoft knows how to do one thing well, it’s killing a successful product.

A lot of companies make their most senior devs engineering managers, and expect them to stay technical. I assume this was the case here.

That’s the project’s goal and they have 100% comparability across quite a few of the tools. Definitely still a ways to go before they can fully replace all of coreutils, but Ubuntu’s goal is to replace the tools peace meal with the once that are ready.

If you go with NixOS or guix, both of which are declaratively configured, you can swap 99.9% seamlessly. I run the same NixOS config on 2 machine and a VM. Only thing I had to modify between them are some driver specific settings, but those are easy to isolate.