Only use jellyfin. Have a list of things want to update… but it works for now.

Yes that is a laptop usb cooler used as supplemental placebo cooling. Also a pc fan I have propped up against the hard drive feeding into the pi.

Can’t recall last time used the ps4 or switch. But they’re there

  • Daniel Quinn@lemmy.ca
    link
    fedilink
    English
    arrow-up
    56
    ·
    1 month ago

    Seven Raspberry Pi 4’s and one Pi Zero, mounted on some tile “shelves” inside some IKEA furniture.

    Ho ho ho

    • Takahe@lemmy.nz
      link
      fedilink
      English
      arrow-up
      16
      ·
      1 month ago

      What do you do on that many pi’s that could not be done easier on 1 x86 box?

      • Daniel Quinn@lemmy.ca
        link
        fedilink
        English
        arrow-up
        18
        ·
        1 month ago

        They’re fanless and low-power, which was the primary draw to going this route. I run a Kubernetes cluster on them, including a few personal websites (Nginx+Python+Django), PostgreSQL, Sonarr, Calibre, SSH (occasionally) and every once in a while, an OpenArena server :-)

        • Getting6409@lemm.ee
          link
          fedilink
          English
          arrow-up
          13
          ·
          1 month ago

          I did a 4 node Pi4 kubernetes cluster for about 5 years. The learning experience was priceless. I think most notable was learning to do proper multiarch container builds to support arm and x86_64. That being said, about half a year ago I decided to try condensing it all into two n100 nuc-like clones and keep one pi as the controller. For me and my apps and use cases there was no going back. Performance gains were substantial and in this regard I think I was hobbling myself after the educational aspect plateaued.

          • Daniel Quinn@lemmy.ca
            link
            fedilink
            English
            arrow-up
            5
            ·
            1 month ago

            Actually, as a web guy, I find the ARM architecture to be more than sufficient. Most of the stuff I build is memory heavy and CPU light, so the Pi is great for this stuff.