Raspberry Pi Observability at Home

Building home observability on Raspberry Pi without drowning the SD card: what to collect, what to skip, and how to keep the stack lighter than the workloads it watches.

Raspberry Pi Kiosk Mode for Reliable Signage

A kiosk device needs predictable behavior after power cuts and network drops. My Raspberry Pi setup starts from a minimal OS image with only the packages required for display and remote maintenance.

Running an MQTT Edge Broker on Raspberry Pi

Cloud-only IoT pipelines are brittle during connectivity outages. I prefer running a local MQTT broker on Raspberry Pi and forwarding data upstream when possible.

A Raspberry Pi Camera Timelapse Pipeline

Timelapse projects become messy when image capture, storage cleanup, and rendering are manual. On Raspberry Pi, I run the whole flow as scheduled services.

Raspberry Pi Homelab Observability Stack from Zero

Most Raspberry Pi projects run fine until they do not. Without metrics and logs, troubleshooting becomes guesswork. This post describes a minimal but production-like observability stack that fits on Pi hardware.

Raspberry Pi Edge AI Camera Pipeline: Practical Design

Running AI inference on Raspberry Pi is possible, but stable operation needs careful pipeline design. Most failures come from bottlenecks in capture, preprocessing, or storage, not from the model itself.

Special Project: RiverSentinel Water Quality Mesh

RiverSentinel was designed for environmental monitoring teams that need faster incident detection than manual sampling can provide, but also need evidence quality high enough for response workflows.

Special Project: AquaForge Aquaponics Digital Twin

AquaForge started as a home-scale aquaponics controller and evolved into a real digital twin platform. The core idea was to move from reactive control to predictive operation: detect chemistry drift early and simulate intervention outcomes.

Special Project: Frostwatch Vineyard Frost Defense Network

Frostwatch is one of the most practical systems I have built: a distributed frost-risk platform for vineyards where timing matters more than dashboards. If you detect frost risk 20 minutes too late, the damage is already done.