DragonFortuneBackendAPIv2
The Challenge
"Designing a scalable API architecture that can handle multiple concurrent requests from the frontend dashboard while aggregating data from external APIs. Implementing efficient database query patterns and caching strategies to minimize response times. Ensuring API reliability with proper error handling, validation, and health check endpoints for production deployment."
The Results
A high-performance Flask REST API that serves as the backend data layer for the DragonFortune Trading Dashboard. The API aggregates and processes cryptocurrency derivatives data from multiple sources including Coinglass and CryptoQuant APIs. Features include modular blueprint architecture, Swagger/OpenAPI documentation, CORS support, and comprehensive endpoints for funding rates, open interest, liquidations, long-short ratios, basis analytics, perpetual-quarterly spreads, ETF flows, volatility metrics, on-chain data, and spot microstructure analysis. Deployed with Gunicorn WSGI server for production scalability with health checks and error handling.
Delivered a production-ready REST API with comprehensive Swagger documentation. The modular blueprint architecture enables easy extension of new endpoints. Successfully handles real-time data aggregation from multiple sources with optimized query performance. Integrated with Docker for containerized deployment and Gunicorn for production-grade WSGI serving.
Complete Tech Stack
Next Phase
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