this post was submitted on 31 Aug 2023
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[โ€“] [email protected] 67 points 1 year ago (3 children)

I setup a k8s rpi cluster for this reason, and now I just have 4 overloaded pis ๐Ÿ™ƒ

[โ€“] [email protected] 43 points 1 year ago (3 children)

Could you not just actually build a dedicated PC for that price? Lol

[โ€“] [email protected] 86 points 1 year ago* (last edited 1 year ago) (2 children)

But then he won't have a k8s rpi cluster

[โ€“] [email protected] 16 points 1 year ago

This is the real reason

[โ€“] [email protected] 1 points 1 year ago

I mean you could have a smaller cluster

[โ€“] [email protected] 9 points 1 year ago (2 children)

and the power consumption adds up, too.

[โ€“] [email protected] 9 points 1 year ago

Pis are only 5W, right? 4 of them should still add up to about as much as a midweight laptop.

[โ€“] [email protected] 6 points 1 year ago* (last edited 1 year ago) (1 children)

This is true. Really annoyed that arm as a hole isn't being utilized like it could be by really anyone but apple. We could be making arm Linux powerhouses that sip power like a mid tier x86 laptop. The worry by some is that there is now way to do this without having every component solderd on, but dell has already made a new open laptop ram slot standard that has almost the same latency as Apple's soldered ram.

Arm is the future, and needs to be treated as such more than it is.

[โ€“] [email protected] 1 points 1 year ago (1 children)

I mean, it's not just Apple, Google is all in on ARM and has been for like a decade and a half.

As for the laptop, look up framework

[โ€“] [email protected] 1 points 1 year ago

Yeah but Chromebooks suck, apple is making computers that aren't just for web browsing

[โ€“] [email protected] 3 points 1 year ago

I do also have a dedicated PC as a NAS, the rpi cluster was more for learning. And k8s does provide some cool flexibility

[โ€“] [email protected] 1 points 1 year ago

I found that for my use case (jellyfin, gitea, portainer, nextcloud, adguard, ...) the pis are still nearly idle but the bottleneck for me was ram. Anyone with similar experience?

[โ€“] [email protected] 1 points 1 year ago

Sounds like k3s would be right up your alley, it's API compatible with k8s but has a lot less overhead than k8s, designed for use on low power devices like the Pi.