Choosing the right tech stack for a scalable food delivery app often comes down to how well it can handle growth without constant rewrites. On the backend, teams usually debate between frameworks like Node.js for real-time performance, Java/Spring Boot for stability at scale, or Django for faster initial development. Database choices also matter early on—many start with relational databases for consistency, then add caching layers and message queues as order volume and peak-time traffic increase.

On the mobile side, native iOS and Android apps still offer the best performance for complex flows like live order tracking and in-app payments, though cross-platform frameworks can speed up time to market. In food delivery app development, cloud services play a key role in scaling, with auto-scaling, load balancers, and managed databases helping apps survive lunch and dinner rushes without downtime. It would be interesting to hear which stacks have worked well for you in production and what bottlenecks you encountered as usage grew.