Maksadbek

I was expecting that, in the AI era, even Google will start using Rust for everything. But they chose Go for the this project.

Is it AWS again ?

Yay, an article about my country is on the HN frontpage!

   /*
    * kernel/sched/loadavg.c
    *
    * This file contains the magic bits required to compute the global loadavg
    * figure. Its a silly number but people think its important. We go through
    * great pains to make it work on big machines and tickless kernels.
    */

so is it just silly numbers or important ?

I use bunch of PHP files for personal/work stuff. Because the setup is very easy: just install nginx and enable php+fastcgi extension. Then just edit the files, no restart is needed. Also I don't need frontend and backend. Just echo html in php file :)

Hey Thomas, thank you for detailed explanation! This sounds very interesting. I really wanted to learn something less complex than Rust/Haskell and fast enough for high performance computing and also reliable language. I should learn some OCaml :)

I'm not deeply familiar with reliability-focused languages, but as far as I know, Ada, Rust, and Haskell are the most prominent ones. What made OCaml a better choice here over those alternatives?

Do we have downdectector for downdetector ?

It always astonishes me how much useful information you can find on internet being publicly available. You just need a willing to learn.

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Couldn't believe my eyes, this is the cleanest C code I've ever seen!!

The sad part is that no one forces you to work that hard. You're free to say NO! and work less, even this will results being laid off. Only during 1:1s your manager may highlight that deadline is soon and would be great if the project would be delivered on time, and little hint about a promo. But you set goals and force yourself to do more, single night this less sleep doesn't hurt anyone. Then there are more such nights of coding and you feel barely alive. 90% work is done, only very little left to finish. And then bam!

Upd:

I didn’t mean that this is ok, I’m for workers rights.

Exactly! If you don't try to keep it simple, especially in bigtech, things get way too complex. I think choosing simplest solution in bigtech is in orders of magnitude more important than in a simple domains.

If you don’t invest to some company because of ethical reasons, then investing isn’t for you.

Anything can be used for good and bad reasons.

This is tool is amazing! I know it's built using WASM and creator earns a lot on this tool from ads. https://news.ycombinator.com/item?id=26769141

Fabrice Bellard is a real coding monster!

So many people are obsessed with Web application size. But there are other important factors as well. First of all, the UI must be functional even it's slow and heavy. If it does the job then it's already a win. I don't actually care how long I'll wait while I'm downloading the JS bundles. I've been waiting 5-10 mins GTA to load back in 2008, waiting seconds is totally ok.

out of curiosity: what problems do you solve with this fork at Microsoft and why not C# ?

While Google advises to use abstractions, I like the left-hand side variant. It looks to me easier to understand and change. The right hand side is scattered and abstractions mutate the object, which may have side effects.

Post "Say no to JavaScript" on a website that heavily uses javascript... ironic

Go hosted in Clojure should be Jo

It’s ssv — space separated values

Fantastic! Are you going to teach her JavaScript as well ?

This is an old blog post by Go authors. But still contains very usefull approach for refactoring codebase.

OCaml is a great language, I should learn OCaml!

I tried the same test on Hetzner VPS (4VCPU AMD EPYC, 8 GB RAM, 160 GB NVMe SSD), and the result is about 20K inserts per sec. It's not 80K, but still exciting, I would even be happy with 10K. I am sure there is a big room for optimizations, but I am planning to use SQLite3 with Python in a very simple way.

Source code of Python test file: https://gist.github.com/maksadbek/2385b002b439e03dc948b05593...

I assume it were individial inserts. https://docs.python.org/3/library/sqlite3.html#sqlite3.Curso...

It's just :)

    conn.execute("insert into cell_towers values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)", row)

I was benchmarking SQLite3 with Python on my MBP M1 and with default settings could achieve 2-4000 inserts per sec. Then applied suggested settings:

  pragma journal_mode = WAL;
  pragma synchronous = normal;
  pragma temp_store = memory;
  pragma mmap_size = 30000000000;

As a result the average number inserts per second was 80K