Real-time Sensor Platform
Full-stack IoT dashboard for sensor monitoring
Overview
A comprehensive full-stack IoT platform for real-time sensor monitoring. Features a React frontend with live data visualization, Python backend with MQTT integration, and PostgreSQL for time-series data storage. Includes alerting, historical analysis, and multi-tenant support.
The Challenge
Building a scalable platform that could handle thousands of sensors publishing data simultaneously while providing sub-second visualization updates. The system needed to support historical queries spanning months of data without impacting real-time performance.
The Solution
Implemented a microservices architecture with MQTT broker for ingestion, Python workers for processing, TimescaleDB for efficient time-series storage, and Redis for caching recent data. The React frontend uses WebSockets for real-time updates and implements virtualized lists for handling large datasets.
Technology Stack
Development Process
Architecture Design
Designed microservices architecture with clear separation of concerns and scalability points.
Backend Development
Built MQTT ingestion service, data processing workers, and REST API.
Frontend Development
Created React dashboard with real-time charts, device management, and alerting UI.
DevOps & Deployment
Containerized services with Docker, set up CI/CD pipeline and monitoring.
Code Highlights
Results & Impact
Sensors Supported
Update Latency
Days Data Retention
Months Dev Time
Key Learnings
- 1
TimescaleDB hypertables for efficient time-series queries
- 2
WebSocket connection management at scale
- 3
React performance optimization with virtualization
- 4
Docker Compose for local development environments