IoT Platform Architecture
- Designed scalable services for high-throughput data processing
- Implemented backend and frontend communication patterns
- Built resilient systems with circuit breakers and retry policies
Cirro IoT Platform - Geotechnical Monitoring System
Full-stack IoT geotechnical monitoring platform with real-time sensor data processing, analytics dashboards, and automated alerting system.
Enterprise IoT platform for geotechnical monitoring, processing real-time sensor data from field equipment. Features React dashboards, .NET microservices, MongoDB data storage, and Python pipelines.
Build Key Features
- 01
Real-time Data Processing Pipeline
Ingests, validates, and processes streaming sensor data from geotechnical monitoring equipment. Handles thousands of data points per second with sub-second latency using .NET platform.
- 02
Monitoring Dashboards
React-based dashboards displaying live sensor readings, historical trends, and analytics. Features interactive charts, customizable views, and responsive design for field and office use.
- 03
Automated Alert System
Configurable threshold-based alerting with multi-channel notifications (email, SMS, dashboard).
- 04
API Integration Layer
RESTful APIs and WebSocket endpoints for device communication, data retrieval, and third-party integrations. Built with .NET minimal APIs and Node.js services.
- 05
Report Generation
Automated reporting system generating compliance reports, trend analysis, and data exports. Supports multiple formats with scheduled delivery.
- 06
Device Management
Centralized device provisioning, configuration, and health monitoring. Tracks sensor status, battery levels, and connectivity for fleet management.
Friction Challenges
- 1
High-Volume Data Ingestion
Processing continuous streams of sensor data while maintaining data integrity and low latency. Implemented buffering, batch processing, and horizontal scaling strategies.
- 2
Cross-Platform Integration
Coordinating .NET, Python, and Node.js services in a cohesive microservices architecture. Established consistent patterns for service communication and error handling.
- 3
Real-time Dashboard Performance
Delivering live updates to React dashboards without overwhelming clients.
Takeaways Learnings
Full-Stack Development
- Integrated React frontend with .NET backend, supported with various APIs
- MongoDB schema design for time-series sensor data storage
- Python excel manipulation for data pivot and ingestion
DevOps & Monitoring
- CI/CD pipelines for multi-service deployments
- Application monitoring and alerting for system health
- Performance optimization across distributed services