Hint: :q!
Sister communities:
Community rules (click to expand)
1. Follow the site-wide rules
sudo in Windows.Please report posts and comments that break these rules!
Important: never execute code or follow advice that you don't understand or can't verify, especially here. The word of the day is credibility. This is a meme community -- even the most helpful comments might just be shitposts that can damage your system. Be aware, be smart, don't remove France.
I've found that a pi is good enough, computationally, but not reliability wise.
A lot of things like advanced light control goes through my host, so any lockups or crashes are bad. My pi held up for about 18 months before it began to play up. I've found a small NUC system has higher reliability for the same price and power usage.
Kubernetes is designed to improve reliability
I think any mini-pc/old laptop is better, and probably cheaper than a raspberry pi nowadays
So close. Started on raspberry pi. Went for a cluster with dpckrt swarm. Finished with a nas and a 10years old game computer as a mediacenter. (That the electricity bill whoch made me stop the cluster)
The only problem I've had with Raspberry Pi is that some apps want to write a lot of stuff to "disk", and the default "disk" on a Pi is a MicroSD card which dies if you keep writing things to it. Sure, you can always plug something into a USB slot, but that adds a bit of friction to the whole process.
Oh, also, I wish it were easy to power a whole bunch of Pi units. Each one needing its own wall wart is a bit annoying, and I've had iffy results using weaker, less steady power supplies with multiple ports intended for things like phones.
Most SD cards aren't really suitable for the kind of workload an operating system generates (that being mostly random i/o). Make sure to get a reputable A2 (application class 2) rated card, they aren't that expensive but perform way better.
Raspberry Pi themselves launched a card recently, I haven't tried that one but it's probably a good choice too.
I really recommend a HAT with SSD, totally worth the investment.
Wouldn't an SSD run into problems down the line with too many Writes?
In my experience, that concern is way outdated.
Theoretically, yes, but I suspect the manufacturing quality of SD cards is a lot lower than SSDs
Same, in fact you can also went down in RPi models. Basically the more you know, the less you need, e.g. going from Plex to Kodi to minidlna...
I have literally been on this exact journey. Mind you I'm on NixOS across two boxes so not quite a raspi... Perhaps my downsizing is not yet complete
See, I don't pay for the electric bill to keep my collection of old enterprise equipment running because I need the performance. I keep them running because I have no resistance to the power of blinkenlights.
This struggle usually takes place over a weekend.
This guy selfhosts
Absolutely the best way to learn though. The number of places I've walked into that had no clue about containers or even a vpc and thought Google drive was an API is too damn high.
I have actually had to write something that used the Google drive API for a friend's company once and it was... Unpleasant. Counterintuitive. Woefully inconsistent. My solution worked but it sucked and I am a bit ashamed of it
thought Google drive was an API is too damn high.
horror
I'm actually just about to start up my server again on a rp4. It's been like 5 years since I've used it. Is dietpi still the best way to go about making a Plex media server/bare bones desktop environment that I can access with 'no-machine'?
I sear no machine just broke my autoboot setup one day and I never got around to fixing it. What do you nerds think?
I'm not interested in video streaming, just hosting my music collection and audiobooks. I remember FTP being a pain to transfer music files from my phone
I need a kubernetes cluster with high availability, load balancing and horizontal pod autoscaling, because that is something I want to learn. I don't care that it's just for wife's home-made dog collars webshop.
This is the way
I had to buy a lenovo thinkcentre mini because was cheaper than a brandnew raspberry pi.
i think the best choice is a cheap used pc or laptop, or server. Reduces electric waste. I also host my own server on a 19 year old Dell Insprion 1300
They take up so much space though.
This is why rack mounts were made. Hell, I've seen a lot of custom builds where people have mapped out the server on their wall and it takes up no floor space. Something like this: https://i.xno.dev/kG9Wx.jpg
Reduces electric waste
A lot of older equipment actually wastes more electricity.
But it will cut down on electronic waste.
Yes, but also no. Older hardware is less power efficient, which is a cost in its own right, but also decreases backup runtime during power failure, and generates more noise and heat. It also lacks modern accelerated computing, like ai cores or hardware video encoders or decoders, if you are running those appd. Not to mention lack of nvme support, or a good NIC.
For me a good compromise is to recycle hardware upgrades every 4-5 years. A 19 year old computer? I would not bother.
my 19 year old laptop runs the web server just fine, and only needs 450 mb ram even with many security modules. it produces minimal noise
Think centre tiny here
Low consumption, two ddr4 slots, one 2.5" slot and one nvme slot! Lots of outside slots.
Costed less used than a new pi too. They have gotten too expensive IMO.
Switched from a raspberry pi 3 to a second hand x86 thin client (lenovo thinkcentre m920q) because raspberry pi 4 were not available at the time. Made me learn proxmox and a bunch of other cool stuff my raspi couldn't handle.
I'm rooting for ARM / RISC-V to become more popular in desktop computing / servers though.
I've always liked riscv. Just the idea of literally everything on the device being open source is a fun idea. Manuals to everything.
Just because the ISA is open source doesn't mean that the end product or even the design will be open source.
RISC-V is licensed permissively, giving anyone the right to make a proprietary (or FOSS) RISC-V processor.
Often times, you'll see mostly open source cores, but then some extention is proprietary.
A mini PC is a good middle ground. Mostly for the video transcode and machine learning power.
Yeah, a mini PC... or if you already have one, why not 5 mini PCs?
