this post was submitted on 23 Sep 2025
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Linux

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Linux is a family of open source Unix-like operating systems based on the Linux kernel, an operating system kernel first released on September 17, 1991 by Linus Torvalds. Linux is typically packaged in a Linux distribution (or distro for short).

Distributions include the Linux kernel and supporting system software and libraries, many of which are provided by the GNU Project. Many Linux distributions use the word "Linux" in their name, but the Free Software Foundation uses the name GNU/Linux to emphasize the importance of GNU software, causing some controversy.

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[–] atzanteol@sh.itjust.works 12 points 1 week ago (3 children)

I remember partitioned systems being a big thing in like the '90s '00s since those were the days you would pour $$$$ into large systems. But I thought the "cattle not pets" movement did away with that? Are we back to the days of "big iron"?

[–] muzzle@lemmy.zip 17 points 1 week ago

And the wheel of reincarnation forever keeps turning.

[–] Lydia_K@lemmy.world 4 points 1 week ago (1 children)

What do you think all those cattle run on?

Just big ass servers with tons of cores and ram.

[–] atzanteol@sh.itjust.works 3 points 1 week ago (1 children)

I figured it was cattle all the way down. Even if they're big. Especially when you have thousands of them.

Though maybe these setups can be scripted/automated to be easy to replicate and reproduce?

[–] Ithral@lemmy.blahaj.zone 4 points 1 week ago

In essence yes, for example VMware ESXi hosts can be managed by a single image with customizations made at the cluster level. Give me pxe and I can provision you n hosts in about the same time as 1 host

[–] fruitycoder@sh.itjust.works 2 points 1 week ago

Constant back and forth. Moving things closer increases efficenicy moving them apart increases resillency.

So we are constantly shuffling between the two for different workloads to optimize for the given thing.

That said i see this as an extension too the cattle idea by making even the kernel a thing to raised and culled on demand. This matter a lot more with heavy workloads like HPC and AI stuff where a process can be measure in days or weeks and stable uptime is paramount, vs the stateless work of intended k8s stuff (i say intended because you can k8s all the things now but it needs extensions to handle the new lifecycles).