{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/cc1b86f9ec1a415f94a50c5e9bdd764e\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/cc1b86f9ec1a415f94a50c5e9bdd764e-a2edecb46d21f7c8.gif","duration":588.417,"title":"Building a Real-Time Cryptocurrency Tracker with Robust Data Flow 🚀","description":"In this video, I walk you through a real-time cryptocurrency tracker application I developed. The system utilizes WebSocket connections to provide users with live updates on selected cryptocurrencies, leveraging an ingestion service that connects to the Binance WebSocket Stream API. I discuss how we handle connection issues, including reconnection logic and managing active connections. Additionally, I highlight the importance of using an in-memory cache for fast responses and propose using Redis for horizontal scaling in the future. I encourage you to consider how failures are managed and the trade-offs involved in building such systems."}