Your AI product works perfectly, for one user at a time. In this hands-on demo, we break a working agent with concurrent traffic, then rebuild it to scale. We deploy to Cloud Run for automatic horizontal scaling, move session state to Firestore so any instance can serve any user, add Gemini context caching and token budgets to keep costs flat as traffic grows, and wire up Cloud Monitoring to watch it all live. Then we load-test it on stage and watch it hold. Bring your sprint project , this is the architecture it needs before launch day.