Are they? I have not checked their posts in depth. The ones I have seen in my feed were along the lines of “lol, Linux users do not shower / don’t get women” or “if Linux good, why not used in Business” (what is a wild thing to say, considering… Well Servers), so that’s the baseline I’ve had in my mind
Sometimes when seeing Linux Memes like this, I think whether this one user with their 1-man-linux-hating-community simply blocked all these communities or reads them as some sort of rage-fuel.
Oh, that would be rad alright
Oh god, imagining this line being delivered in the most dry way possible really cracked me up
Wow, that’s a crazy and impressive setup! Pretty amazing what’s possible with something so low power that it could run off of battery and possibly solar alone…
Having such a setup for travel and emergencies is a cool idea, I’ll have to put it onto my “possibly some day” list :)
Gotta take a look at it and spin one container up. Looks promising, too!
As I’m not completely invested in paperless, I’ll definitely try it out, thanks!
Haven’t seen support for exports/backups at first glance, that is imo a must have.
Ja, weniger Worker, dann dauert das OCR eben Mal länger. Da das eher selten ich muss das Dokument sofort im Paperless anschauen, kann das meinetwegen auch seine Minuten brauchen.
Bin bisher auch noch nicht 100% auf den Workflow eingeschossen:
Yeah, I’ve read about using a Wyse 5070 for this a lot by now. Maybe I’ll explicitly search for them instead. All I’ve seen around me are 4gb models, however. The Stack I’m currently running blocks 3.7gb in idle… So that’s not enough
Did you just turn off all transcoding or pre-transcoded to 720p mp4 (or similar)?
Or did you just rely on the native apps for direct play?
Paperless, I guess OCR is very taxing, but I mainly had RAM problems regarding this on my Pi 3, with only one doc at a time, it went slow but steady.
Immich maxed out my i5 (all cores on 100) for some minutes when running the ML on my imported test library of ca. 3k Files. So yeah, when choosing the Pi4, I’d go with ente for sure!
A Pi as a travel server sounds like an awesome idea!
What are the use cases for taking it with you instead of just connecting to your homelab?
Edit: Your username made me thirsty, too bad I have to wait some hundred years to get one on earth…
it did not work well enough to be usable.
Was it the overall performance or the OCR specifically?
I have run paperless some time on a pi 3b without OCR (manually doing it on a PC or when scanning with Apps like MakeACopy) and it was okay-ish. Not a lot documents though.
And I thought it was mainly the 1GB RAM limiting (starting Paperless started swapping right away…)
Did you get a static public IP from your ISP?
Taking do one thing, but do it good to the next level, nice!
I thought about getting a pi zero also just for the pi-hole. But my pi3b holds up pretty good, still
Cool, do you get any auth and/or ingress protection?
With cloudflare, you get some auth options, can block AI crawlers (that get recognized…) etc for free
When I looked into it first, Pangolin seemed a bit overwhelming.
Is it hard to set up?
Nice, I have to take a look if mine supports it, too!
Nice, I thought about using wireguard as a private VPN, too. Having my pihole block my mobile data on the go would be neat
I’m a bit stumped, what do you gain from this setup?
Or do you mean just running some services through the tunnel for easy access and “hide” others behind tailscale?
Cloudflare has some opt-in auth. Mail-OTP is a nice balance imo: You can allowlist mail addresses per service/subdomain and set expiry for each. Then for access, you first have to enter the mail address, get the OTP and then access the service.
So, nobody without access to allowed mail addresses even gets to knock on you door.
But yeah, that’s why I think about going tail scale: why bother having something exposed when not needed?
I just think, some services might be nice to provide to friends, too - and having them connect to my tailnet for this is a bit too much friction, I guess
Yeah, weekly backup to B2 or similar should be fine. Postponed setting it up myself - I paid for a year of Ente and currently sync everything both to premium Ente and my local Immich, so backup is fine for now.
For the heat: I am running it on a Pi4 with 8GB RAM and it runs pretty decently even without cooling. For the large import, I set up only the ML-container on a more potent desktop (still fiddling with GPU HW-acceleration) and added it as remote ML to Immich, so I can offload heavy ML load when e.g. importing many files.
The normal upload stream is fine with the local ML, though