Part 3 of our hands-on series: learn to simulate realistic backend traffic patterns for robust testing, and implement a resilient liveness protocol to manage ticket lifecycles and automatically prune abandoned sessions in your virtual queue.
In Part 1, we established the architectural blueprint for our virtual queue. Now, it's time to translate that design into working code. This article kicks off the implementation by bootstrapping our Lobby Service in Python and integrating Redis to manage the queue's state. You will learn how to handle the first user requests and build the foundation for the entire waiting room.
Kick‑start your journey into building lightning‑fast virtual queues: master the key queuing concepts and set up a lean, low‑latency architecture.