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Joined 1 year ago
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Cake day: June 12th, 2023

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  • 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.


  • My homelab is a 2 node Kubernetes cluster (k3s, raspberry pis), going to scale it up to 4 nodes some day when I want a weekend project.

    Built it to learn Kubernetes while studying for CKA/CKD certification for work where I design, implement and maintain service architectures running in Kubernetes/Openshift environments every day. It’s relatively easy for me to manage Kubernetes for my home lab, but It’s a bit heavy and has a steep learning curve if you are new to it which (understandably) puts people off it I think. Especially for homelab/selfhosting use cases. It’s a very valuable (literally $$$) skill if you are in that enterprise space though.



  • 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.




  • Rpi simply cannot handle live transcoding because it’s a computationally expensive process. Audio and video codec support is a confusing landscape. Some of it is hardware support, some software support, sometimes there are weird licensing quirks… I replaced my Chromecast with an Nvidia Shield and it mostly eliminated transcodes, though i still sometimes encounter issues. For maximum compatibility look for files that are MP4, x264 (or h264) and AAC.



  • 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.





  • 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.