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DataCanvas IoT Monitoring Platform
A full-stack IoT monitoring platform that enables real-time device data ingestion, storage, visualization, and controlled data sharing via public APIs.
Project Overview
DataCanvas is an IoT data platform built to simplify real-time device monitoring and data access for developers and organizations. The platform focuses on reliable MQTT-based data ingestion, secure device management, and intuitive data visualization. Phase 1 of the project concentrated on building a stable core system for collecting, storing, and exposing IoT data, while later phases introduced public data access and developer tooling.
Architecture Diagrams
Key Features
Real-time IoT data ingestion using MQTT protocol
Centralized device and sensor management
Live data visualization through web dashboards
Secure authentication and role-based access control
Time-series data storage for sensor readings
Public REST API for external applications to access IoT data
Token-based authentication for controlled data sharing
API usage scoped per project and device
NPM package published to simplify Public API consumption
Phase Breakdown
Phase 1
Core IoT Monitoring Platform
- MQTT-based real-time data pipeline
- Backend services for device registration and data ingestion
- Web dashboard for monitoring live and historical sensor data
- User authentication and authorization flows
- Initial deployment-ready architecture
Phase 2
Public API & Developer Tooling
- Public REST API exposed for third-party websites and applications
- Access token generation and management
- Reusable NPM package wrapping the Public API
- Improved developer experience for external integrations
Images
Technology Stack
Backend
Node.jsExpressMQTT BrokerREST APIs
Frontend
Next.jsTypeScriptTailwind CSSChart.js
Database
PostgreSQL
Tools & Platforms
DockerNginxGitHub ActionsAWSNPM