Smart Parking Guidance Using Kafka, Flink, and Spring Boot
This article presents a senior architect’s end‑to‑end design of a smart parking guidance system, detailing how high‑frequency sensor streams are ingested via Spring Boot gateways, processed with Kafka and Flink for stateful de‑duplication, debouncing, and aggregation, and finally served through Redis, PostgreSQL and Spring Boot APIs for real‑time vehicle routing.
