video1.0<iframe src="https://www.loom.com/embed/cc1b86f9ec1a415f94a50c5e9bdd764e" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/cc1b86f9ec1a415f94a50c5e9bdd764e-a2edecb46d21f7c8.gif588.417In 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.