Tech

I went a little over the top on logging temperatures on all my devices.

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• 2 min read

The above image is my Grafana dashboard with all kinds of temperatures, percentages and other measurements. Surprisingly this just started out as something I could look at to get my internet speed information.

It's basically several InfluxDB Databases and Grafana with a bunch of integrations, some of which I coded(some in Python and some in GoLang) and others I did not.

Here are the things I'm now monitoring(even though I don't really need to :) ) :

  • Temperature, CPU and Memory, and Upload, Download speeds, and ping times of my UDM Pro. This is a custom container running in my kube cluster.
  • Temperature, CPU and Memory of my UDM 16 port POE switch. This is a also custom container running in my kube cluster.
  • Hourly Speedtest that provides Upload, Download, and Ping time to Clouvider. This is a custom container I wrote in GoLang that is running in my kube cluster.
  • CPU and SSD Temperatures of all my Lenovo Kubernetes nodes. This was written with some custom GoLang code that reads the sensors and writes to InfluxDB. It runs as a cron job on each of the nodes.
  • CPU Temperatures of my 2 Raspberry Pi 4's that run PiHole(using Gravity Sync) and provide all the DNS for my network. This was the same code for the Lenovo computers tweaked for the Raspberry Pi's.
  • Temperature and Humidity in my network cabinet. This is running on a Raspberry Pi 2 with a Coral Environment board attached to provide this information. The code here was written in Python since most of it was already done and I just needed to add the code to write to Influx.
  • Outside Temperature, Humidity, and Rainfall from my Ambient Weather Station. This is a custom container running in my kube cluster that was coded in GoLang and queries the Ambient API every 15 minutes via a cron job.
  • Indoor Temperatures in the Den and the room our Dogs stay in. These temperature sensors are the remnants from my old one wire network. I used to use these in my old house and just had them sitting around. The Python code runs on a Raspberry Pi 3.

I've turned on a few alerts in Grafana that will email me via SendGrid if temperatures reach certain thresholds. Overall it was a fun learning experience. I also was able to see that one of the hard drives in my kubernetes cluster was going bad(overheating) and was able to replace it before I lost the node.