Hi, I have a bunch of Raspberry Pies hosting all kinds of stuff and I want to have a monitoring solution for all of that. What would be your recommendations?
My goal is to be able to have an overview of CPU load, network load, CPU temp and to see what’s going on inside docker containers as I have everything dockerized. I’d like the solution to be open source. I want the solution to be web browser accessible and have nice load graphs with history. I don’t want to spend too much time setting it up.
All my Pies are running RaspberryOS, which is Debian based.
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Standard solution would be grafana + Prometheus on one server and a node exporter running on each pi. You then register the node exporters in Prometheus and use that as a data source for grafana. There you build a dashboard showing whatever metrics you want. It can also show some information about the Docker socket, like number of running/stopped containers and such.
Thanks!
netdata is easy to set up and detects a lot of things on it’s own like databases and ntpd and…
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I didnt see it recommended yet, UptimeKuma is really simple if you just want to monitor the basics like if a url works or ping, tcp, etc without an agent.
It doesn’t do CPU/memory style metrics, but I find myself checking it more often because of how simple it is.
I need CPU and other metrics because recently one of my Docker containers got infected with DDOS software and CPU spike was a tell tale.
Omg I have CPU spikes on my Raspberry Pi. Maybe it’s infected too, and how would I ever find out?
Is there some software I can run to check?
Are they small spikes spread across time or large chunks of heavy load, like 80%+ load for hours? If it’s the first, then probably it’s just normal operation. Otherwise check your running processes and start tracking what’s going on during high loads.
I would say it’s 100% load for maybe 3 minutes, so maybe it’s normal.
It makes my system overload so my PiHole stops processing.
But it sounds like maybe it’s normal and a background service using too much sometimes?
Maybe normal, maybe not. What software do you run there?
I’m kind of loving Zabbix, but not sure if it’s the right solution for your needs. I’d say it would definitely work, but does take a bit of setup initially. This article is interesting, and seems to have a lot of what you want. Not sure if you want to do all of this. https://opensource.com/article/23/3/build-raspberry-pi-dashboard-appsmith
Collectd on the host sending data to an openwrt docker container. You can view graphs in the openwrt luci ui
Acronyms, initialisms, abbreviations, contractions, and other phrases which expand to something larger, that I’ve seen in this thread:
Fewer Letters More Letters DNS Domain Name Service/System PiHole Network-wide ad-blocker (DNS sinkhole) SAN Storage Area Network SSL Secure Sockets Layer, for transparent encryption TLS Transport Layer Security, supersedes SSL
3 acronyms in this thread; the most compressed thread commented on today has 7 acronyms.
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It’s old fashioned and maybe difficult to setup initially but I really like munin
Glances should be right up your alley.
Monit
Zabbix can do everything you’re asking and can be connected to Grafana if you want custom visualisations. Most importantly, it contextualises what you need to know on the dashboard, as in it only tells you about things that require your attention.
You’re of course able to dive into the data and look at raw values or graphs if you wish, and can build custom dashboards too.
I’ve used it in both home lab and production scenarios monitoring small to mid size private clouds, including windows and linux hosts, docker, backups, SAN arrays, switches, VMware vSphere, firewalls, the lot. It’s extremely powerful and not terribly manual to set up.
If metrics is all you want and aren’t too fussed on the proactive monitoring focus, Netdata is a great option for getting up and running quickly.
Mmm, forgot about Zabbix, they’re actually from my home country and I used to know some people there.
As someone who used Zabbix and stopped because it’s an absolute pig, I’m going to recommend Checkmk.
As someone who used Checkmk Raw (the free edition) and stopped because it’s an absolute bastard to set up, I’m going to recommend Zabbix.
I’ll specify. Installing Checkmk’s agent on the servers was fine, but service discovery is completely unreliable (I could never get through a full discovery before it just hung on something unknown) and the web GUI is very difficult to navigate. Unfortunately most of the documentation only covers the paid version, and community support is pretty bad.
Switching to Zabbix was almost plug-and-play by comparison.
As someone reading this thread, I’m stuck in an endless loop.
As someone who used Checkmk Raw (the free edition) and stopped because it’s an absolute bastard to set up, I’m going to recommend Zabbix.
I feel the same way about Zabbix. I’m not going to pretend that CheckMk is super intuitive but I guess I got over the hump because I don’t find it difficult to setup, use, or manage.
The reality is for a homelab setup, probably something like uptime kuma would fit the bill for most people. I wanted something like Zabbix or CheckMk for all the detailed stats that Op is looking for. The longer I use it the more I realize I don’t need them 99% of the time and I should probably give something like uptime kuma a try myself.
I’m suggesting Homepage for someone for the second time.
I don’t use Docker, so this may not help you, but I find bpytop and ssh works just fine. :)
I use netdata, it’s quick and easy, but I don’t think it monitors docker containers specifically.
Grafana, influxdb, telegraf agents. Easy to setup. Barely any configuration required. Everything you asked for in the default telegraf agent config. There are dashboards with plenty of examples on grafanas website.
What’s the difference between Prometheus and Telegraf? Why do you prefer Telegraf?
My work environments use Prometheus and node-exporter and grafana. At home I use telegraf, influxdb and grafana (and Prometheus for other app specific metrics) but the biggest reason I went with telegraf and influxdb at home is because Prometheus scrapes data from the configured clients (pull), while telegraf sends the data on the configured interval to influxdb (push) and starting my homelab adventure I had 2 VMS in the cloud and 2 pis at home and having telegraf sending the data in to my pis rather than going out and scraping made it a lot easier for that remote setup. I had influxdb setup behind a reverse proxy and auth so telegraf was sending data over TLS and needed to authenticate to just the single endpoint. That is the major difference to me, but there are also subsets of other exporters and plugins and stuff to tailor data for each one depending on what you want.
Influxdb is a “time series” database for storing metrics. Temperatures, ram usage, cpu usage with time stamps. Telegraf is the client side agent that sends those metrics to the database in json format. Prometheus does pretty much the same thing but is a bit too bloated for my liking, so I went back to Influx.
