A real-time telemetry dashboard for the Austin area, and the Google Cloud implementation of an earlier Azure project — ported in a single day, from zero prior GCP experience, with AI as the force multiplier and platform judgment as the steering. It ingests live Capital Metro bus positions via the GTFS-Realtime feed and OpenSky aircraft positions, and doubles as an SRE demo: live health and SLOs, latency and error metrics, an incident-simulation toolkit, a runbook, and a log viewer.

Built in Go on Cloud Run (scales to zero), with Firestore for storage, Cloud Scheduler for ingestion, Secret Manager for credentials, and a React dashboard served from the same container.

One honest limitation: OpenSky blocks GCP datacenter egress, so the flight layer does not populate from Cloud Run itself — flight data is pushed in from an off-cloud residential IP.