renderD128 (Intel dgpu) couldn’t be added to the container (linuxserver image). Will take a look later, when I’m home, to find the issue. But may take your time for the update and don’t yolo it like I did :)

Sorry, I meant risk taking not averse (not my 1st language) Regarding the bugs, they get usually fixed within days

*10.9 if not latest. For the risk averse folks out there, check out https://github.com/containrrr/watchtower I just let it run every night, so far w/o problems

Most of my PRs are fixing typos in the Readmes 8) It ain’t much, but it’s honest work

I’d recommend finding a tutorial for Docker+Portainer - Portainer is a container as well, which provides a web-gui to conveniently manage all your other containers (without having to touch the CLI ever again)

The Hacs Integration makes use of the device’s API - don’t know if it is their intended use of it, but it works

You can turn off the internet access at almost all Tuya devices by making use of the local tuya HACS add on in home assistant. Maybe that’s helpful for your research

Don’t worry, most of this is about learning :) You could also put Docker on the Linux, install Jellyfin as a Docker container, and only fore it up when you are using Jellyfin. It’s a little less convenient, than having it available all the time, but storing all media in H264 AC3 (most common video and audio codecs) costs a lot of storage (H265 and AV1 are far more efficient). Another pro of Docker is, when you decide to move your server, you just shut down the container, copy it’s data and start the container on the new device

You’ll have to keep in mind, that the pi is not really suitable for RAID and not at all for transcoding. The latter means if you have all your media in codecs your devices support, it’s direct play only, it will work, but as soon as you need to transcode, you will have a hard time

I’d go for the consumer case with as much drive space as possible, but in the end it’s up to your taste. With rackmount full professional server stuff, you have to keep in mind, it’s not only quite large in terms of space, but also noisy. This is something for the basement or something. Another option would be a mini pc like a NUC combined with a NAS - here is the limit the upgradability of the hardware. Like you can usually upgrade the RAM a little and the system drive, but that’s it. Especially for media stuff (Plex, Emby, Jellyfin) it can be interesting to have a dedicated GPU, like an Intel card, to have more transcoding capabilities. I’m currently running most things from a SFF PC, but also have a Pi and an old laptop in use for various tasks (main reason is lazyness to move the services to the SFF lol)

That’s the good thing about containers, that’s super easy. Just stop the container, move your folder to your desired location (e.g. /home/user/vaultwarden), change the path in your compose file (stack) (i.e.: /home/user/vaultwarden:/data/), redeploy the stack and that’s it :)

Ben phelp’s homepage (you can find it on github)

I started with a Pi 4 8GB. It was not able to keep my RAID 1 (constantly loosing one of the two drives, degraded when added back). Transcoding of movies, also Jellyfin, just not possible. So I bit the bullet and took some old hardware (i7-4790K, 1070, 16GB RAM, PSU, CPU-Cooler) and bought some more used (SFF case, mini-itx board, Bluray-Drive). The case wasn’t the cheapest (56€), because I wanted one with enough room for 5.25" drive and 4 3.5" HDDs. Finding a mini itx board for such an old platform was hard and cost 120€ (I didn’t sell the ATX board I originally used with the CPU, yet). But now it’s a great system, running 19 containers atm In other words, don’t underestimate the cost of old hardware. You may find a cheaper, used prebuilt somewhere

Not sure about how helpful this is. I use a GTX 1070 in my server, but I most of the time have only one concurrent stream. It handles everything (only up to HEVC obviously) flawlessy for now. It’s a card with a zero db mode and I’ve never seen the fans spinning since it’s in there, so the load on the GPU even when transcoding can’t be very high

Crazy good price! My I’ll-just-throw-mainly-old-hardware-in-a-sff-pc cost me more lol (I had i7-4790k, GTX 1070, 16GB DDR3, PSU, 500GB SSD - bought 2x4TB WD Red, Case, mini itx MB, Bluray-Drive)

Since you already got a lot of ELI5s, here is a basic to-do to get you up and running. From my experience, since I use the exact same setup as you describe.

1. Set up your containers in a way you can reach them from you local network (e.g. http://123.456.789.10:123)
2. Get a domain name (you can get one at the registrar of your choice, e.g. mydomain.com)
3. Set up NGINX proxy manager (NPM) (default address of webui would be http://123.456.789.10:81)
4. Set up a new proxy host in NPM:
   • Domain name: mycontainer.mydomain.com
   • Scheme: http
   • Forward Hostname/IP: 123.456.789.10 (if you get an error later on, you can use the docker container name if NPM and your container are connected to the same Docker network)
   • Port: 123
   • Via access lists you can provide a very basic username/pw login to protect your sites (you can do more and cooler stuff with Authelia)
   • In the SSL tab you can (and should) setup the SSL encryption: https://www.youtube.com/watch?v=TBGOJA27m_0
5. Go to the DNS management of your registrar
   • Add an A-record for mydomain.com and the public IP of your server (you can google public IP to find it out)
   • Add a CNAME record for the subdomain with name mycontainer and target mydomain.com
6. open port 443 of your server in your router If everything worked right, you can visit mycontainer.mydomain.com, your DNS server will resolve this to your public IP and forwards the request to nginx, which will serve the data of your local container