In high-demand digital scenarios like ecommerce flash sales or ticket releases, implementing a waiting room system can effectively manage large volumes of simultaneous user traffic, protecting server stability and enhancing user experience by preventing errors and overselling. A project utilizing Fastly Compute and Upstash's Redis database demonstrates how to build a scalable waiting room app that efficiently queues users, provides real-time updates on queue positions, and incorporates anti-fraud measures to ensure fair access. The app assigns unique identifiers to users, tracks their queue positions using Redis, and refreshes cookies to maintain their spots, allowing for configurable admission rates and serving waiting room pages directly from the edge with Fastly's KV Store to avoid overloading origin servers. Customization options include aligning templates with branding, setting up geo-targeted queues, and implementing varied admission strategies, all contributing to a robust solution for managing high-traffic events and enhancing user experiences.