gokrazy VS compress

Switching to gokrazy[0] was the best thing I did for my Raspberry Pi uptimes. I think a lot of that is because it defaults to using read-only partitions so the common issue of SD cards falling over when you run apt upgrade no longer happens.

But I also think that gokrazy's simplicity and design helps it be just a solid, reliable foundation to build on top of.

[0]: https://gokrazy.org/

The idea there sounds a lot like https://gokrazy.org/, which builds a minimal go userland, wrapping one or more user provided go applications, and bundles in a linux kernel.

Targets mostly at single board computers, and I think it downloads pre-built kernels (and bootloaters if needed), rather than trying to build them directly, since getting a working cross compilation toolchain set up and plumbed into the kernel compilation process is still a pain.

I've personally only used yocto/open-embedded for that which does nicely handle building the cross-compilation toolchain, kernel image, and modules. But it is kinda overkill for that task, being designed to build a whole userland too.

reminds me of https://github.com/gokrazy/gokrazy which does similar things.

https://gokrazy.org/ would like a word

Fun! We have support for running on gokrazy (https://gokrazy.org/) already, and that's probably where Unikernel Linux is more applicable for us, for when people just want a "Tailscale appliance" image.

I'll email you.

gokrazy exists! https://github.com/gokrazy/gokrazy

https://github.com/gokrazy/gokrazy for one example

There's a pure-go zstd at https://github.com/klauspost/compress - it's likely faster than running the upstream zstd under Wazero.

It's no surprise that "fast" Go libraries are actually just assembly: https://github.com/klauspost/compress/blob/master/zstd/seqdec_amd64.s (just one file out of several, for just one architecture, for just one compression algorithm!)

There is a reasonably feature complete implementation of Zstd for Go: https://github.com/klauspost/compress/tree/master/zstd

It may not offer the same API 1:1, but it has no interoperability issues that I've encountered. So, I just think no one has bothered to implement it in Rust because most use cases don't mind the added bloat you're talking about. Plus, other comments I've seen suggest that you can actually tune the size of the zstd library, although I'm not sure if the Rust bindings expose that.

Thanks again for your review/comment!!! Btw, are you the author of this repo https://github.com/klauspost/compress because I love it!!!

I noticed Github returns "This page is taking too long to load" with status code 502 for https://github.com/klauspost/compress but rest of their urls works fine. Anyone know why would that be the case ?

Cloning the repo works perfectly well.

git clone https://github.com/klauspost/compress

Recent versions of zstd definitely don't obsolete LZ4, or else I don't think the author would still be contributing to both...

And if you're going to play with Snappy, you might find S2, which was linked on HN relatively recently, interesting. [1]

[1] - https://github.com/klauspost/compress/tree/master/s2

Compression method appears to be zstandard and uses https://github.com/klauspost/compress, for those wondering like I was.

OMG u/klauspost is this you? https://github.com/klauspost/compress/tree/master/s2