wrk2
bu
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wrk2
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GNU Parallel, where have you been all my life?
> This runs a benchmark for 30 seconds, using 2 threads, keeping 100 HTTP connections open, and a constant throughput of 2000 requests per second (total, across all connections combined).
Some distros include `ab`[2] which is also good, but wrk2 improves on it (and on wrk version 1) in multiple ways, so that's what I use myself.
[1] https://github.com/giltene/wrk2
[2] https://httpd.apache.org/docs/2.2/programs/ab.html
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Ask HN: What do you use to stress test your web application?
I've had my eyes on wrk2 [1]
1. https://github.com/giltene/wrk2
But I am curious, what does HN use? Any tips?
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Running a Billion Workflows a month with Netflix Conductor
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).
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How does one answer performance related questions such as these for a web API?
I use tools like vegeta and wrk2 to answer those questions.
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Your load generator is probably lying to you
Needs (2015).
I loved the talks from Gil Tene.
I always reach for his fork of wrk whenever I need to test throughput:
https://github.com/giltene/wrk2
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what is faster the template engine tera or PHP. is there any template engines for rust faster than PHP
That's why a lot of people just use something like wrk or wrk2 (highly recommended to run it on a separate machine) and benchmark the ability to serve actual requests.
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PHP preload VS running as a daemon (benchmarks)
To get the most out of preload, I preloaded all files that the experimental endpoint needs to include. As a benchmarking tool, I use wrk2 — a more advanced Apache Benchmark analog — to keep it simple and provide more flexibility to generate loads similar to a real-life one.
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Ask HN: Do you load test your applications? If so, how?
i use https://github.com/giltene/wrk2 pretty regularly.
it has decent lua hooks to customize behavior but i use it in the dumbest way possible to hammer a server at a fixed rate with the same payload over and over.
i run it by hand after a big change to the server to make sure nothing obviously regressed. i used to run it nightly in a jenkins job but 99% of the time no one looked at results. it was nice to see if assumptions on load a single node could handle didn't hold anymore.
- Wrk2: A constant throughput, correct latency recording variant of wrk
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3 Benchmarking/load testing tools for different use cases
I use wrk2 because it overcomes coordinated omission.
bu
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Nim
I think Nim is great for small CLIs. Some examples are over at: https://github.com/c-blake/bu . To quantify "small", using tools themselves in bu/ (and Zsh *):
wc -l --total=never **.nim|cols 1|cstats ms q.05 q.95
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fdupes: Identify or Delete Duplicate Files
200 lines of Nim [1] seems to run about 9X faster than the 8000 lines of C in fdupes on a little test dir I have. If you need C, I think jdupes [2] is faster as @TacticalCoder points out a couple of times here. In my testing, `dups` is usually faster than `jdupes`, though.
[1] https://github.com/c-blake/bu/blob/main/dups.nim
[2] https://github.com/jbruchon/jdupes
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Things I've learned about building CLI tools in Python
You better off with using a compiled language.
If you interested in a language that's compiled, fast, but as easy and pleasant as Python - I'd recommend you take a look at [Nim](https://nim-lang.org).
And to prove what Nim's capable of - here's a cool repo with 100+ cli apps someone wrote in Nim: [c-blake/bu](https://github.com/c-blake/bu)
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Removing Garbage Collection from the Rust Language (2013)
20 milliseconds? On my 7 year old Linux box, this little Nim program https://github.com/c-blake/bu/blob/main/wsz.nim runs to completion in 275 microseconds when fully statically linked with musl libc on Linux. That's with a stripped environment (with `env -i`). It takes more like 318 microseconds with my usual 54 environment variables. The program only does about 17 system calls, though.
Additionally, https://github.com/c-blake/cligen makes decent CLI tools a real breeze. If you like some of Go's qualities but the language seems too limited, you might like Nim: https://nim-lang.org. I generally find getting good performance much less of a challenge with Nim, but Nim is undeniably less well known with a smaller ecosystem and less corporate backing.
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The Awk book’s 60-line version of Make
Often whole program generation in a prog.lang (& ecosystem!) that you already know can substitute for a new prog.lang. Python even has eval. You may be interested in: https://github.com/c-blake/bu/blob/main/doc/rp.md
You can actually get pretty far depending upon boundaries with the always implicit command-option language (when launched from the shell language, anyway). For example, Ben's example can be adapted to:
rp -m^\[A-Za-z\] 'echo nr," ",s[1]'
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Learn GNU Awk with hundreds of examples and exercises
You might consider: https://github.com/c-blake/bu/blob/main/doc/cols.md
That's in Nim, though that may not be much a barrier. (There may also be other tools in bu/ of interest.)
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GNU Parallel, where have you been all my life?
This sounds like a job for what standard C calls "popen". You can do `import posix; for line in popen("ls", "r"): echo line` in Nim, though you obviously need to replace `echo line` with other desired processing and learn how to do that.
You might also want to consider `rp` which is a program generator-compiler-runner along the lines of `awk` but with all the code just Nim snippets interpolated into a program template: https://github.com/c-blake/bu/blob/main/doc/rp.md . E.g.:
ls -l | rp -pimport\ stats -bvar\ r:RunningStat -wnf\>4 r.push\ 4.f -eecho\ r
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The Bipolar Lisp Programmer
Nim is terse yet general and can be made even more so with effort. E.g., You can gin up a little framework that is even more terse than awk yet statically typed and trivially convertible to run much faster like https://github.com/c-blake/bu/blob/main/doc/rp.md
You can statically introspect code to then generate related/translated ASTs to create nearly frictionless helper facilities like https://github.com/c-blake/cligen .
You can do all of this without any real run-time speed sacrifices, depending upon the level of effort you put in / your expertise. Since it generates C/C++ or Javascript you get all the abilities of backend compilers almost out of the box, like profile-guided-optimization or for JS JIT compilation.
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Ask HN: Why did Nim not catch-on like wild fire as Rust did?
I don't know about all your other questions, but the https://github.com/c-blake/cligen CLI framework seems much lower effort / ceremony than even Rust's `argh` and is just about as old as `clap` (both started 8 years ago in 2015).
There are over 50 CLI utilities at https://github.com/c-blake/bu, many of which do something novel rather than just "re-doing ls/find/cat with a twist". While they are really more an "ls/ps construction toolkits" with some default configs to get people going, I think https://github.com/c-blake/lc and https://github.com/c-blake/procs are nicer than Rust alternatives. I mention these since you seem interested in such tools.
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Self Hosted SaaS Alternatives
You are welcome. Thanks are too rarely offered. :-)
You may also be interested in word stemming ( such as used by snowball stemmer in https://github.com/c-blake/nimsearch ) or other NLP techniques, but I don't know how internationalized/multi-lingual that stuff is, but conceptually you might want "series of stemmed words" to be the content fragments of interest.
Similarity scores have many applications. Weights on graph of cancelled downloads ranked by size might be one. :)
Of course, for your specific "truncation" problem, you might also be able to just do an edit distance against the much smaller filenames and compare data prefixes in files or use a SHA256 of a content-based first slice. ( There are edit distance algos in Nim in https://github.com/c-blake/cligen/blob/master/cligen/textUt.... as well as in https://github.com/c-blake/suggest ).
Or, you could do a little program like ndup/sh/ndup to create a "mirrored file tree" of such content-based slices then you could use any true duplicate-file finder (like https://github.com/c-blake/bu/blob/main/dups.nim) on the little signature system to identify duplicates and go from path suffixes in those clusters back to the main filesystem. Of course, a single KV store within one or two files would be more efficient than thousands of tiny files. There are many possibilities.
What are some alternatives?
wrk - Modern HTTP benchmarking tool
NimForUE - Nim plugin for UE5 with native performance, hot reloading and full interop that sits between C++ and Blueprints. This allows you to do common UE workflows like for example to extend any UE class in Nim and extending it again in Blueprint if you wish so without restarting the editor. The final aim is to be able to do in Nim what you can do in C++
siege - Siege is an http load tester and benchmarking utility
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
loadtest - Runs a load test on the selected URL. Fast and easy to use. Can be integrated in your own workflow using the API.
ordiri
artillery - The complete load testing platform. Everything you need for production-grade load tests. Serverless & distributed. Load test with Playwright. Load test HTTP APIs, GraphQL, WebSocket, and more. Use any Node.js module.
OffensiveNim - My experiments in weaponizing Nim (https://nim-lang.org/)
Hey - HTTP load generator, ApacheBench (ab) replacement
awesome-selfhosted - A list of Free Software network services and web applications which can be hosted on your own servers
PPSS - Parallel Processing Shell Script
core - OPNsense GUI, API and systems backend