IoT Data Processing Platform
Developed real-time IoT data processing platform handling 100K+ devices with complex analytics, alerting, and 99.9% data accuracy.
Results & Impact
The Challenge
EcoTech Solutions needed a platform to collect, process, and analyze data from 100K+ IoT devices (smart meters, sensors) deployed across Europe. The existing system couldn't scale, had data accuracy issues, and lacked real-time alerting. They needed a robust solution that could handle massive data ingestion, provide real-time analytics, and alert on anomalies.
Our Solution
We built a scalable IoT platform using Python with FastAPI for the backend, TimescaleDB for time-series data storage, and RabbitMQ for message queuing. Implemented real-time data processing pipeline, anomaly detection using machine learning, automated alerting system, and comprehensive analytics dashboard. The platform is deployed on Kubernetes for high availability.
Technologies Used
Team Composition
- •2 Python Developers
- •1 Data Engineer
- •1 DevOps Engineer
Key Results & Achievements
- ✓100K+ devices connected and monitored
- ✓10M+ data points processed per day
- ✓Real-time analytics with <5 second latency
- ✓99.9% data accuracy achieved
- ✓Automated alerts reduced response time by 80%
- ✓€300K annual savings from energy optimization
Client Testimonial
"The IoT platform has transformed our business. We can now monitor 100K+ devices in real-time, detect issues before they become problems, and provide our clients with actionable insights. The ROI was achieved in just 4 months."
Henrik Larsson
CTO, EcoTech Solutions
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