Real-Time IoT Analytics Dashboard
Built a real-time IoT analytics dashboard using Azure IoT Hub, Stream Analytics, and a .NET 8 backend with SignalR for live data visualization
Client
Manufacturing & Energy Company
Duration
6 months
Year
2025
Role
Lead Cloud Architect
Project Overview
A comprehensive IoT monitoring and analytics platform that ingests telemetry data from thousands of industrial sensors and edge devices. The system provides real-time dashboards, anomaly detection, predictive maintenance alerts, and historical trend analysis. Built on Azure's IoT and data services, it enables operations teams to monitor equipment health, optimize energy usage, and prevent costly downtime through AI-driven insights.
Challenges
- 1Handling 50K+ events per second from diverse IoT protocols
- 2Ensuring sub-second latency for real-time dashboard updates
- 3Managing device connectivity and offline scenarios
- 4Processing and storing petabytes of time-series data efficiently
Solutions
- Used Azure IoT Hub with device twins for protocol translation and state management
- Implemented Azure Stream Analytics with tumbling windows for real-time aggregation
- Built SignalR hub in .NET 8 for pushing live updates to browser clients
- Leveraged Azure Data Explorer for high-performance time-series queries
Results & Impact
40% reduction in unplanned equipment downtime
25% improvement in energy efficiency
99.9% data ingestion reliability
Real-time visibility across 5,000+ devices