• 0 Posts
  • 141 Comments
Joined 2 years ago
cake
Cake day: February 1st, 2024

help-circle



  • Especially after adding in all the power draw of the automation requires…

    What exactly is the incremental power draw for automation? My network gear and server (a little nuc) are sunk power costs as I self host other services.

    Idling, my home uses around 100W with the fridge off. One 10W light is an additional 10% of my power budget, and I have a lot more than one light in my house. I also pay about $0.40/kWh.


  • I can be a bit neurotic about turning off lights when I leave a room, so Home Assistant was a nice way to free up brain space for me. A few motion sensors here and there + some simple automations, and the lights mostly handle themselves. Zigbee sensors and Zigbee or Matter-over-WiFi bulbs, so everything is local. A free VPS+WireGuard setup means I can access them remotely should I need to, with TailScale as a backup.

    Cloud failures mean I can’t access remotely, but local control is unaffected—if my smart devices stop working it’s almost certainly my fault :)








  • I do something similar — I have a raspberry pi and a HD, with daily rsync and snapshots (monthly retained indefinitely, weekly retained for a month, daily retained for a week). It’s at family’s house, connected to my home via WireGuard via a VPS. Tailscale (or anything really) would also work here.

    It’s a great setup! Just have some watchdog reboot if it can’t talk to home (a simple cronjob with ping -c1 home.lan || reboot or similar).

    Even our “slow” 35Mbps upload speed is way more than enough for incremental rsyncs of my Immich library. The initial sync was done in person, though.









  • It’s interesting that, with Python, the reference implementation is the implementation — yeah there’s Jython but really, Python means both the language and a particular interpreter.

    Many compiled languages aren’t this way at all — C compilers come from Intel, Microsoft, GNU, LLVM, among others. And even some scripting languages have this diversity — there are multiple JavaScript implementations, for example, and JS is…weird, yes, but afaik can be faster than Python in many cases.

    I don’t know what my point is exactly, but Python a) is sloooow, and b) doesn’t really have competition of interpreters. Which is interesting, at least, to me.