Case study
IoT Monitoring Platform
Sensor data flowing from edge devices through MQTT to a cloud dashboard with alerts.
The challenge
- Sensor readings from equipment needed to reach a central system reliably, including over imperfect connectivity.
- The solution spanned constrained embedded devices and cloud services, which had to work as one system.
- Operators needed a clear view and timely alerts rather than raw data.
The approach
- Designed the full path from sensors and an edge gateway through MQTT to cloud connectivity.
- Used local buffering at the edge so data was not lost during connectivity gaps.
- Built dashboards and alerting focused on what operators needed to act on.
The solution
- Embedded firmware on ARM devices collecting and buffering sensor data.
- MQTT-based messaging with Azure IoT for cloud connectivity.
- A React dashboard with alerts for monitoring equipment status.
Outcome
- Sensor data reached the cloud reliably, including across connectivity interruptions.
- Operators gained a single view of equipment status with alerts.
- The architecture spanned edge and cloud as a coherent, maintainable system.
Technologies
- C/C++
- ARM
- Node.js
- React
- LevelDB
- MQTT
- Azure IoT
Related services
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