autocannon VS zig

Autocannon GitHub Repository

To make things interesting, let’s send some requests to this server with autocannon:

Using autocannon, I did the following script to simulate 500 concurrent connections over 30 seconds:

We then used autocannon to measure the throughput (requests per second) of each runtime server-rendering our React app.

You could also use tools like autocannon to see how many requests/second you can achieve with various methods. : https://github.com/mcollina/autocannon

I used autocannon to test the function at 100 concurrent executions for 30 seconds. I also used Lambda Power Tuning to find the ideal memory configuration, which proved to be 512MB. All the results are available.

Moreover, if your blocking issue is appearing only on heavy load, you can easily test it using the very nice --autocannon CLI param (see it with clinic flame --help) where you can specificy autocannon options to generate some HTTP load on your web service.

I packaged them both with Docker and deployed them to an EC2 instance, each behind an Nginx reverse proxy I setup in docker-compose. I'm currently testing performance using autocannon from my laptop like this: `autocannon -a 5000 -w 10 URL` (5000 requests with 10 workers), and both apps complete in around 40 seconds. The EC2 instance is in Oregon and I'm testing from Toronto.

You can test it by yourself using console.time(). You can use autocannon to stress-test your http server to see what is really the best options.

When I test this with autocannon making three simultaneous requests (autocannon --connections 3 --amount 3 --timeout 10000 --no-progress http://localhost:5678/):

There is an issue proposing this approach: https://github.com/ziglang/zig/issues/4284

https://github.com/ziglang/zig/issues/224

e.g.:

> > When debugging/prototyping, it's useful to comment out a line without having to refactor, e.g.

When writing code in a scripting language, sometimes you need that extra bit of performance (or maybe an async feature from Zig).

NodeJS is by no means a slow runtime, it wouldn’t be so popular if it was. But compared to Bun, it’s slow. Bun was built from the ground up with speed in mind, using both JavascriptCore and Zig. The Bun team spent an enormous amount of time and energy trying to make Bun fast, including lots of profiling, benchmarking, and optimizations.

ntdll.dll!RtlUserThreadStart()

There are valid reasons to use APIs from NTDLL. Where I disagree with zig#1840 is the idea that it is always better to use NTDLL versions of API. Every other software ecosystem uses the standard Win32 APIs and diverging from that without a good reason seems like a good way to have unexpected behavior. One concrete example is most users and programmers expect Windows to redirect some file system paths when running on WOW64. But this is implemented in Kernel32, not ntdll.

https://github.com/ziglang/zig/issues/11894

Zig also has an IRC channel on libera (#zig) that is moderated by Andrew Kelley.[1]

[1] https://github.com/ziglang/zig/wiki/Community