Business Situation & Requirements
As the organization expanded its smart mobility services across multiple cities and transport operators, it struggled to provide reliable, real-time visibility into fleet movements. Data coming from different GPS vendors and vehicle systems was inconsistent, delayed, and difficult to integrate, leading to inaccuracies in tracking, routing, and customer-facing applications.
Accurate routing to the correct ports and IPs was difficult, and manual configuration risked errors. Automation was essential to ensure reliable, scalable, and real-time data processing across all devices.
The client needed a middleware solution to ingest GPS data from public transport vehicles and convert it into a standardized format.
To overcome these challenges, Team Unthinkable had to:
Accurately identified and mapped ports for data originating from multiple GPS protocols, ensuring error-free data transfer and reliable device-to-server communication.
Automated protocol detection and routing logic to eliminate manual configuration and reduce the risk of human error.
Maintained 99.9% system uptime to support uninterrupted real-time data delivery, where even a five-second delay could impact operational usability.
Engineered a resilient middleware layer capable of handling both real-time and batch-based GPS data transmissions.
Built a real-time monitoring dashboard to provide operators with end-to-end visibility into data flow between GPS devices and backend systems.
Implemented alerting and health checks to proactively detect data drops, transmission failures, or performance anomalies.
