A web application that ingests real-time data from coastal AIS receiving stations to visualize vessel position and voyage status on marine charts. Apache Kafka handles 500K+ AIS messages per day, with instant alerts on area breaches or signal loss.
AIS data reaches roughly 500K messages per day, requiring both real-time processing and zero data loss.
Adopted Apache Kafka as a distributed streaming platform — providing back-pressure control and fault tolerance for stable high-volume processing.
AIS messages follow international standards and demand careful handling of duplicates and corrupted payloads.
Customized the open-source AisLib library to add deduplication and recovery for corrupted messages — achieving 100% parse coverage.
Production scale targeted up to 30 AIS stations, but only 1–2 real units were available for testing.
Built an in-house UDP/TCP AIS simulator that generates realistic, high-volume data in virtual environments — enabling production-scale load testing.
