As I’ve discussed before, this blog is hosted on a k3s cluster which runs on 3 Raspberries Pi in a nifty little case. The router that powers our home network is in my partner’s office, with the Pi cluster nearby so that it can benefit from a fast stable wired Ethernet connection.

Observant readers of this blog, refreshing every day desperate for new content, will have noticed that the last blog post - dated 2022-12-31 - actually went live in the middle of January. My k3s cluster, which had always been a bit rickety, finally gave up the ghost in late December, and two of the nodes needed to be fully reimaged before I could start it back up again.

I’ve had several instability issues with my Kubernetes cluster recently, and so I wanted to install some monitoring to notify me of incipient issues. I’m already using Grafana dashboards to visualize the state of my cluster (using some of my own hand-crafted dashboards along with some pre-existing Kubernetes-specific ones), but that’s only useful if I happen to be looking at it at the time a problem is happening - it won’t warn me of a brewing problem (and, if the problem results in my VPN becoming unavailable while I’m away from home, that could result in complete disconnection).