cmdchallenge VS wrk

~/git/cmdchallenge master ± inotifywait -m --event create,modify,delete . & [1] 110764 Setting up watches. Watches established. ~/git/cmdchallenge master ± git pull remote: Enumerating objects: 768, done. remote: Counting objects: 100% (209/209), done. remote: Compressing objects: 100% (24/24), done. remote: Total 768 (delta 200), reused 185 (delta 185), pack-reused 559 Receiving objects: 100% (768/768), 323.39 KiB | 16.17 MiB/s, done. Resolving deltas: 100% (474/474), completed with 10 local objects. From https://gitlab.com/jarv/cmdchallenge e97638c3..2c059b85 master -> origin/master * [new branch] next -> origin/next * [new branch] renovate/github.com-docker-docker-23.x -> origin/renovate/github.com-docker-docker-23.x * [new branch] renovate/github.com-mattn-go-sqlite3-2.x -> origin/renovate/github.com-mattn-go-sqlite3-2.x Updating e97638c3..2c059b85 ./ DELETE .asdf-plugins ./ CREATE .asdf-plugins ./ MODIFY .asdf-plugins ./ DELETE .envrc.example ./ CREATE .envrc.example ./ MODIFY .envrc.example ./ DELETE .gitignore ./ CREATE .gitignore ./ MODIFY .gitignore ./ DELETE .tool-versions ./ CREATE .tool-versions ./ MODIFY .tool-versions ./ DELETE Makefile ./ CREATE Makefile ./ MODIFY Makefile ./ DELETE README.md ./ CREATE README.md ./ MODIFY README.md ./ DELETE challenges.yaml ./ CREATE challenges.yaml ./ MODIFY challenges.yaml ./ MODIFY challenges.yaml ./ MODIFY challenges.yaml ...

I have written a bit of both, recently re-wrote a command runner for a side-project https://gitlab.com/jarv/cmdchallenge in Nim and found it very pleasant and much less verbose, which was a nice change from GoLang while keeping type safety. A good example is parsing JSON https://nim-by-example.github.io/json/ as you can do a lot with fewer lines of code. I think the main disadvantage of Nim is that there is less out there in the ecosystem, libraries, and it's more likely you will run into quirks and bugs in the standard library.

> My initial requirement was to send requests with unique parameters. To the best of my knowledge, no tool could do this.

wrk does this with lua. https://github.com/wg/wrk/blob/master/src/wrk.lua

Also even things like the venerable jmeter supported pulling parameters from a csv file.

We used wrk2, a fantastic tool to generate stable load on the server. Wrk2 improves on wrk and adds the ability to generate sustained load at a specific rate (-R parameter).

I am using a tool called wrk to make a bunch of requests to my website, and changing the concurrency of the requests drastically changes the result, with concurrency set to 1, I get 894 requests made in 10 seconds, and when I set concurrency to 10, I get 8549 requests. This linear scaling stops when increasing the concurrency more drastically (18805 requests for 100 and 19814 for 500 concurrency).

Im creating multithreaded async http server for learning purposes and i'm facing problem when benchmarking with wrk. I get socket read errors on every connection:

We use locust at work but I HIGHLY recommend wrk for a very robust yet simple load testing tool.

https://github.com/wg/wrk

And of course, this talk by Gil Tene is fantastic if you're interested in load testing stats https://www.youtube.com/watch?v=lJ8ydIuPFeU

Good morning what tool do you use to test your infra in terms of http load ? A tool that works, I tested : - https://github.com/tsenart/vegeta but it returns 0 errors or a http_net error from Golang - LOIC (Low Orbit Ion Canon) https://github.com/NewEraCracker/LOIC but the requests do not appear in my nginx logs and I feel no slowdown - Apache Jmeter https://jmeter.apache.org/ but I can't drop my infra and I have Java socket closed errors - K6 https://k6.io/ but I can't bring down my infra with - wrk https://github.com/wg/wrk no matter what parameter I put it doesn't make enough requests per second, I put the same parameters as on a tutorial and I don't get the same result...

You could try to just blast it with wrk or bombardier. Can easily get around 50k requests on consumer machine.

Sure, first I did the load testing on the same machine. The same machine ran web servers, php-fpm and ab / wrk programs.

There are http benchmarking tools like wrk [0]. You don't need a ddos service for that.

[0] https://github.com/wg/wrk