[–] 2 points 5 months ago (1 child)

I personally have a K3S cluster I host at home and an auto-scaled cluster in Hetzner. I see different use cases and am happy to have both.

One thing to mention is that you can also run your own tunnel with something like pangolin on a VPS (CX23 is plenty). Thus, you could have a cheaper could bill if you wanted a hybrid setup.

Also, I highly recommend moving your node to a data center closer to home.

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  • [–] 1 point 5 months ago (1 child)

    I’m running Immich on an old ThinkCentre with the default feature set. Currently looking at:

    • Server: 1.4 GB
    • ML: 288 MB
    • Valkey: 8 MB
    • Postgres: ~500 MB

    There is a bit more overhead for the control plane and cloud-native PG operator/backup pods but my instance fits comfortably inside a ~4GB allocation.

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  • [–] 4 points 8 months ago (1 child)

    It’s probably just that I got used to it with XFCE at some point. My main two concerns:

    • I love having the path in the navbar (and not have to Ctrl-L)
    • I don’t like having devices tucked behind “Other Locations” rather than in the sidebar

    Otherwise, I find Nautilus much more aesthetically pleasing.

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    I’ve toyed around with Fedora a couple times in the past but never daily drove it. Pretty much a Debian guy (gnome desktop, headless servers and raspbian) but I had to scratch that immutable itch.

    I just put together a home media server and thought to try silverblue since I was mostly going to be running containers anyways.

    Got a couple flatpaks installed and toolboxed where necessary, but it went rather smooth. A bit of a learning curve for me to get pods as services with systemd but otherwise smooth sailing.

    Haven’t had to restore yet but it’s comforting to have the option! Yet another package manager was one reason I wouldn’t deviate much from Debian but the immutable angle sorts that out nicely.

    It just feels so clean!

    submitted 2 years ago* (last edited 2 years ago) by to c/cool_github_projects@programming.dev
     

    Repo: https://github.com/damienallen/urban-heat

    cross-posted from: https://programming.dev/post/14939898

    I wanted to share a small project I've been working on. The goal was to make the data from NASA's Landsat Thermal Infrared Sensor more accessible to the general public.

    I worked with the raw temperature band data to general annual maximum surface temperature raster images for large urban areas covered by the Eurostat GISCO Urban Audit. In the browser, these images are transformed into easier to interpret isotherm contours with some adjustable settings.

    I don't have a specific target audience in mind. The map could help identify areas of refuge for the warmer months, or overheated neighborhoods to avoid as we march towards a toasty future.

    Feedback is welcome :)

    submitted 2 years ago* (last edited 2 years ago) by to c/programming@programming.dev
     

    repo: https://github.com/damienallen/urban-heat

    cross-posted from: https://programming.dev/post/14939898

    I wanted to share a small project I've been working on. The goal was to make the data from NASA's Landsat Thermal Infrared Sensor more accessible to the general public.

    I worked with the raw temperature band data to general annual maximum surface temperature raster images for large urban areas covered by the Eurostat GISCO Urban Audit. In the browser, these images are transformed into easier to interpret isotherm contours with some adjustable settings.

    I don't have a specific target audience in mind. The map could help identify areas of refuge for the warmer months, or overheated neighborhoods to avoid as we march towards a toasty future.

    Feedback is welcome :)

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