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submitted 6 days ago* (last edited 6 days ago) by [email protected] to c/[email protected]

I have a relative small home server running an *Arr stack and some other stuff. So basically just a handful of containers. I am looking for a simple monitoring setup with a web dashboard that I can access on my local network.

At work we use a big Grafana stack for monitoring, but that would be pretty overkill for my case. So do you guys have any tips for a simple monitoring setup?

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[-] [email protected] 7 points 6 days ago* (last edited 6 days ago)

You can use Uptime Kuma. It's just 1 container with an SQLite database. It shows outages, uptime, and can sent notifications about service status.

[-] [email protected] 4 points 6 days ago

+1 for Uptime Kuma. I use it in conjunction with a tiny Go endpoint that exposes memory, disk and cpu. And, like @iii I use ntfy for notifications. I went down the Grafana/Influx etc route - and had a heap of fun making a dashboard, but then never looked at it. With my two Kuma instances (one on a VPS and one in my homelab) in browser tabs, and ntfy for notifications on my watch, I feel confidently across the regular things that can go wrong.

[-] [email protected] 4 points 6 days ago

I also wanted to recommend uptime kuma. Love it's versatility. I combine it with ntfy.sh for near real time notifications.

[-] [email protected] 2 points 6 days ago

Nice, thanks! I think I'd like some more stats, but I like the simplicity. Might consider it together with Beszel

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

That also looks like a really interesting option, might try that myself

[-] [email protected] 5 points 6 days ago
[-] [email protected] 2 points 6 days ago

Thank you! This look just like what I had in mind

[-] [email protected] 2 points 6 days ago

I am currently setting up munin on my servers.

I like it so far - it's old-school, lightweight and straightforward.

[-] [email protected] 2 points 6 days ago
this post was submitted on 17 Jul 2025
13 points (100.0% liked)

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Hosting your own services. Preferably at home and on low-power or shared hardware.

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