[-] [email protected] 18 points 1 year ago* (last edited 1 year ago)

Knowing what and when to abstract can be hard to define precisely. Over abstraction has a cost. So does under abstraction. I have seen, writen and refactored terrible examples of both. Anecdotally, flattening an over abstracted hierarchy feels like less work and usually has better test coverage to validate correctness after refactoring than abstracting under abstracted code (spaghetti code, linear code, brand it how you will). Be aware of both extremes and try to find the balance.

[-] [email protected] 7 points 1 year ago

Switched to qbittorrent+gluetun side car recently and it's been pretty good compared to the poorly maintained combo torrent+OpenVPN images I was using. Being able to update my torrent client image/config independent from the VPN client is great. Unfortunately most of the docs are Docker focused so it's a bit of trial and error to get it setup in a non-docker environment like Kubernetes. Here's my deployment in case it's useful for anyone. Be careful that you configure qbittirrent to use "tun0" as it's network interface or you will be exposed (got pinged by AT&T before I realized that one). I'm sure there's a more robust way to makeuse of gluetun's DNS over TLS and iptables kill switch that doesn't require messing with qbittorrent config to secure, but that's what I have so far and it works well enough for now.

[-] [email protected] 7 points 1 year ago

Look for refurbished units, you can get enterprise grade units for like half the retail price. I recently got a refurbished APC from refurbups.com. Comes with brand new batteries, mostly rack mountable stuff. Ended up being a little over half the price of a brand new one with shipping. Can't tell at a glance if they ship to Canada, but if not I'd be surprised if there wasn't a similar Canada based site you could find.

[-] [email protected] 6 points 1 year ago

Got a refurbished APC coming in today. Looking forward to not having to worry about my NAS drives or losing internet because or a split second power blip.

[-] [email protected] 2 points 1 year ago

Not really, its mostly a hobby/nerdy/because I can thing. I am a software engineer with a decade of experience. The job sometimes requires virtual sys admin work (VM/container, cloud networking, etc). Setting up my own baremetal cluster has given me more insight into how things work, especially on the network side. Most of my peers take for granted that traffic gets in or out of a cluster, but I can actually troubleshoot it or design with it in mind.

22
submitted 1 year ago* (last edited 1 year ago) by [email protected] to c/[email protected]

Every couple months I get the urge to organize my lab/home office equipment into a rack/cabinet, but never follow through on it. I ocassionally look on craigslist for deals, but everything is either too far away or too big. I'd rather pay more for a smaller rack that doesn't go all the way to the ceiling and will just show up on my doorstep. A 6U would fulfil my current requirements, 12U is probably more than enough in reality but as an engineer I find myself eyeing 15-18U to be conservative.

This iteration of the search has me eying these options:

  • sysracks 18U server rack - slightly bigger than I want, but still reasonable. Some questionable reviews on manufacturing/shipping quality, but this seems like a solid cost/value ratio: fully enclosed, room to grow, wheels, accessories like shelves and such I'd want anyway. Feels like maybe overkill, but for the price...
  • NavePoint 15U Portable Rolling Network Rack - closer to the size I want (12/15U options), cheaper but no accessories, like shelves, I'd need bringing it closer in price to the sysrack. Similar manufacturing/shipping concern reviews. I like this one, but hard to feel like it's not a worse deal than the sysrack.
  • some startech variant - these seem generally higher build quality (sturdier) but higher cost and more "bare bones" looking. also often adjustable depth making it potentially more future proof. but I'm not sure either of these make up for the increased cost.

What do you think? Any advice or wisdom you can share? I'm feeling like finally following through this time because my office is a tiny mess. Leaning toward the NavePoint currently.

17
submitted 1 year ago by [email protected] to c/[email protected]

So I run a small Kubernetes cluster (k3s) backed by MariaDB hosted on a Synology NAS with only HDDs rather than etcd colocated on the control nodes. For resiliency purposes it's been great, nodes are basically pure compute resources I can wipe out and recreate with ease and not worry about data loss. However, for over a year now I've lived with the constant chatter of active hard drives in my office.

The Kube DB workload is extremely read heavy and very active: many thousands of selects per minutes with only a handful of writes. Clickclickclickclickclickclick. Seems like a good case for caching, and luckily my NAS has 2 NVMe slots for an SSD cache. I bought a couple data center drives with PLP (Kingston DC1000B, probably overkill, but not crazy expensive), pop them in, set up a read/write cache for the database and Kube NFS volumes and...silence, wonderful silence. It's almost constantly at 100% cache hits. Bonus points if things are faster as well.

I'm very happy. Never optimized an application for noise levels before 😁.

[-] [email protected] 5 points 1 year ago

Fyi you will not be able to do live video transcoding with a raspberry pi. I overclocked my pi4's CPU and GPU and it just can't handle anything but direct play and maybe audio stream transcoding, though I've never had luck with any transcoding period. I either download a format I know can direct play or recently started using tdarr (server on pi, node running on my desktop when I need it) to transcode into a direct play format before it hits my Jellyfin library. Even just using my AMD Ryzen 5 (no GPU) it transcodes like 100x faster than a tdarr node given 2 of the rpi cpu cores. You could probably live transcode with a decent CPU (newer Intel CPUs are apparently very good at it) if you run Jellyfin on the NAS but then you're at odds with your low power consumption goals. Otherwise rpi Jellyfin is great.

Good luck, I'd like to build a NAS myself at some point to replace or supplement my Synology.

[-] [email protected] 4 points 1 year ago* (last edited 1 year ago)

I'd start with trying to find aarch64 container images. Search "image name aarch64". If the source is available you could also build the image yourself, but I've never found software I wanted to use badly enough to do that. If you're lucky someone already did it for you, but these images often aren't kept up to date. Do the community a favor and drop the owner an issue asking for aarch64 builds if nothing else.

[-] [email protected] 2 points 1 year ago

It's a great tool for knowledge sharing, ramp up and debugging. Definitely not something that needs to happen on every story. Stuck on something or working on a weird bug? Get someone on a call and walk them through it. New team member or old susbsytem not many people understand? Pair the less knowledgeable person up with an SME for the first couple tasks so they can pick the SME's brain while they work and get valuable context that might be lost in code or the story description.

It also doesn't need to drag on. I find 30 minutes is best because as you approach an hour+ attention is hard to maintain. Get on the same page, learn a few things and once your making progress move to async communication.

Pair programming is a tool and only valuable if you know how and when to use it.

1
submitted 1 year ago by [email protected] to c/[email protected]

I run a baremetal Kubernetes cluster on a couple raspberry pis (though that detail isn't super important to this question). I am familiar with Kubernetes metrics/alerting tools such as grafana, Prometheus, Loki, ELK stack, etc. I am also familiar with the node metrics exporter for gathering node level resource metrics like CPU, memory, file system, temps, etc. All that's great and gets me like 99% of the way there. The last 1% that I am looking for are things like available updates (e.g. 56 packages with available updates), reboot required, system component status, etc and for whatever reason I sttuggle to find good search results for this specific problem area.

I can and do use things like dnf-automatic/unattended-upgrades and systemd to maintain the minimal system level health (so 99% -> 99.8%) but I haven't been able to find a solution that provides a bit more insight depth into underlying system health, probably because that's usually handled by cloud providers/hypervisors. I am sure I could come up with some custom, not too hacky solution for myself (off the top of my head: a pod/job with access the underlying system to run whatever commands I want to gather state and make it available to the Kube space general monitoring solution, feels dirty though) but it feels like an obvious hole I'm just missing the wrong Google incantation to find.

Any ideas or experience you can provide? Please don't suggest kube metrics node-exporter, unless I am missing something it doesn't provide what I am asking about.

4
submitted 1 year ago by [email protected] to c/[email protected]

So I've been running a little 2 node rpi kubernetes cluster for over a year now, bootstrapped with Ansible and Helm (source). I picked Ubuntu Server at the time because I think the official 64-bit Raspbian OS was still young or maybe not even out at the time (can't quite remember) but I've found myself fighting with Ubuntu an awful lot culminating in a major version upgrade to "jammy" last night that has wrecked one of my nodes. It even tried to delete the running kernel during the upgrade but caught itself and asked me to confirm, wtf. I've never experienced a Linux upgrade this bad. Yeah, "jammy" is right. Luckily I use a separate NAS for persistence. So I'm breaking up with Ubuntu, which I think is the cool thing to do these days anyway, and using this as an opportunity to rebuild and clean up my IaC.

I am most familiar with Red Hat distros (Fedora/CentOS daily drivers for years now, RHEL servers at work) though I'm not familiar with the ARM ecosystem there. Ive also been wanting to try NixOS for a while but looking at some of the rpi config last night had me a little concerned because it felt unfamiliar. Then of course there's the Official Raspbian OS, 64 bit support should be solid by now.

What OS are you using for your Raspberry Pi servers? Any I should definitely avoid?

[-] [email protected] 2 points 1 year ago

Nice! I have my Turing pi 2 still sitting in the box until I can actually find some pi CM4s. One of these days...

I do have a k3s cluster running on two regular pis with PoE Hats and a little network switch. Works well. Here's my homelab repo if you want food for thought (ansible for bootstrapping the cluster, then helm for apps).

[-] [email protected] 4 points 1 year ago

Generally a hostname based reverse proxy routes requests based on the host header, which some tools let you set. For example, curl:

curl -H 'Host: my.local.service.com' http://192.168.1.100

here 192.168.1.100 is the LAN IP address of your reverse proxy and my.local.service.com is the service behind the proxy you are trying to reach. This can be helpful for tracking down network routing problems.

If TLS (https) is in the mix and you care about it being fully secure even locally it can get a little tricky depending on whether the route is pass through (application handles certs) or terminate and reencrypt (reverse proxy handles certs). Most commonly you'll run into problems with the client not trusting the server because the "hostname" (the LAN IP address when accessing directly) doesn't match what the certificate says (the DNS name). Lots of ways around that as well, for example adding the service's LAN IP address to the cert's subject alternate names (SAN) which feels wrong but it works.

Personally I just run a little DNS server so I can resolve the various services to their LAN IP addresses and TLS still works properly. You can use your /etc/hosts file for a quick and dirty "DNS server" for your dev machine.

[-] [email protected] 5 points 1 year ago* (last edited 1 year ago)

So I have jellyfin deployed to my kubernetes home lab, router port forwarded to the ingress controller (essentially a reverse proxy) on the cluster. So exposed to the internet. Everything on it has authentication, either built in to the application or using an oauth proxy. All applications also have valid SSL configurations thanks to the reverse proxy. I also use cloudflare DNS with their proxy enabled to access it and have firewall rules to drop traffic that hits port 80/443 that doesn't originate from those cloudflare proxy ips (required some scripting to automate). It drops a lot of traffic every day. I have other secuirty measures in place as well, but those are the big ones.

So yeah, if you expose your router to the internet, its gonna get pinged a lot by bots and someone might try to get in. Using a VPN is a very simple way to do this securely without exposing yourself and I'd suggest going that route unless you know what you're doing.

[-] [email protected] 2 points 1 year ago

So a good exercise for threat modeling is to think through what would happen if your instance is compromised. Are there shared passwords on the machine? Other services? Private user data? Etc. Most likely your answer is there is nothing particularly sensitive on your Lemmy machine. If the instance is compromised they just have access to your compute resources at which point they might try to mine crypto with it or something.

So with that in mind, I might check on your billing model to make sure there isnt any sort of scaling cost they might be able to run up if that happened. Perhaps put some resource usage alarms in place. Im honestly not familiar with Linode, but have a lot of experience with AWS and GCP from my job.

I also recently found a nice general guide to securing a Linux server on GitHub you might find useful or interesting.

view more: next ›

macgregor

joined 1 year ago