BEAMWARDEN

> If your team collects data from hardware in the field, Beamwarden is the control plane that manages it. A Beamrider node hosts your sensor stack — whatever it measures — and streams authenticated, structured telemetry to Beamwarden. Fleet identity, liveness, deployments, and configuration are managed centrally. Beamforge delivers live rolling statistics and historical analytics without additional infrastructure.

> Currently operational: a Raspberry Pi 3 running a multi-sensor stack over an Arduino coprocessor — DHT for temperature and humidity, BMP280 for barometric pressure, LIS3DH 3-axis accelerometer, ambient light, and sound level. The same node runs live SGP4 orbital propagation for the ISS, streaming real-time position and velocity alongside the physical sensor readings in a single payload. All channels arrive on every reading cycle: ingested, timestamped, and queryable immediately.

> The three sensor nodes above are examples, not the ceiling. Thirteen Beamriders are registered in production today, on the same identity model and the same ingest API: the Geiger counter, the multi-sensor node, a Pi Sense HAT, and a five-node Raspberry Pi cluster used as a physical fault-injection testbed, validating Beamforge against real hardware and real network conditions before it runs against your fleet. Every node runs the same live Unscented Kalman Filter automatically, flagging anomalies as they occur with no per-sensor configuration. This is a reference deployment: the same integration model scales across heterogeneous hardware and sensor types without changing.