Real-Time Sensor Monitoring & Control
Architected a Kubernetes-native IoT platform for water-risk analytics, handling 900 000 messages per day with 99.9 % uptime.
Visit website
The problem
Environmental sensors on port piers and dam spillways produced only a once-daily CSV export, often forcing a technician to travel onsite just to retrieve the data. This manual, once-a-day workflow meant critical events, like flash floods or pump failures, could go unnoticed until it was too late, leaving operations reactive and infrastructure at risk. Worse, if a sensor was damaged or went missing, all locally stored data was lost with the device.
The Challenge
I was charged with leading the software arm of this project: architecting and building a fully scalable platform to ingest live readings from hundreds of environmental probes, enable remote device management, and deliver real-time alerts and dashboards. This meant designing an end-to-end solution, from the React frontend and Node.js backend to the cloud-native infrastructure, a distributed data pipeline using a message queue system, a high-performance time-series database, and a secure device connectivity layer built on the MQTT protocol. The goal was to deliver a client-ready proof of concept in just three months.
Motion & Interaction Design
Real-time animations power every view, such as the interactive map with smooth pan and zoom to each sensor, live water-level gauges on the main dashboard, sliding panels in the Alerts dashboard, and fluid transitions in the Company Management tab, making data changes and user actions instantly clear.
Testing & Validation
The platform underwent rigorous performance and load testing to validate its architecture. The system was proven to reliably handle a high volume of concurrent device connections and a massive daily throughput of messages with high availability and low-latency performance, demonstrating its readiness for production-level workloads.
Project Ongoing
The initial proof of concept was successfully delivered in three months and met all performance targets for scalability and reliability. The project's success has led to positive client engagement and is now in a phase of continuous development, with new features and deployments actively in progress.