Deploy an MQTT-based IoT app using SpinKube to measure booth engagement at conferences. This setup uses sound sensors to detect foot traffic, removing human error from engagement measures and informing staffing decisions. Components include an MQTT message persister in Rust, a Typescript-based backend API, and a frontend for data visualization. The guide covers deployment on a Kubernetes cluster using the MQTT trigger, ensuring a complete and real-time analysis of booth traffic.
Table of contents
OverviewInside a Booth Volume Spin ApplicationDeploying our Application to SpinKubeSort: