Recent
How K3s Silently Grew a 40 GB SQLite Database and Took Down My Cluster
My cluster — a single-node K3s instance running about 60 ArgoCD-managed applications — had been slowly dying for months. Pods crash-looped with “context deadline exceeded” errors. Leader elections failed. The metrics server stopped working entirely. I assumed it was resource pressure and tuned probe timeouts. The real problem was underneath all of it: K3s’s SQLite datastore had silently grown to 40 GB.
Fleet-Managing Fire Tablets from Kubernetes
·1025 words·5 mins
I have three Amazon Fire tablets mounted around the house running Fully Kiosk Browser as Home Assistant dashboards. They’re cheap ($35-50 each during sales), they have decent screens, and Fully Kiosk turns them into locked-down kiosks that show a dashboard and nothing else.
Whole-Home Audio with Music Assistant: Kubernetes Gotchas and a Silent Raspberry Pi
·1889 words·9 mins
My music setup had accreted into a mess. Across two Kubernetes clusters I was running Navidrome, Lyrion Music Server (LMS), beets, and my own AI radio station (SUB/WAVE) - plus a Raspberry Pi running piCorePlayer wired into a Dayton DAX66 matrix amp for whole-home audio. Four things that all “played music,” none of which talked to each other, and no single place to control any of it from Home Assistant.
The LoadBalancer That Never Worked: Migrating MetalLB from L2 to BGP
·2180 words·11 mins
I started the day asking why one of my Frigate cameras was using more CPU than the others. I finished it having moved every LoadBalancer in my Kubernetes cluster onto BGP-routed addresses, because along the way I found a service that had been silently unreachable for two years.
Teaching Security Cameras to Describe What They See
·1257 words·6 mins
A notification that says “person detected on doorbell” is useful. A notification that says “a delivery driver in a brown UPS uniform placed a medium-sized box on the porch and is walking back to the truck” is significantly more useful — especially when you’re in a meeting and trying to decide whether to get up.
Mac Studio as a Kubernetes Compute Satellite
·1077 words·6 mins
My K3s cluster runs on six Intel NUCs. They’re great for the 50+ containers that make up my homelab — Plex, Home Assistant, Frigate, Paperless, the usual suspects. But they’re terrible at machine learning. Four Skylake cores and 32 GB of RAM per node doesn’t get you far when Immich wants to classify 80,000 photos or Frigate wants a vision model to describe who’s at your door.