Frequently Asked Questions
A fast and scalable backend architecture for a Node.js food ordering system includes: Server Layer: Node.js with Express.js for handling high-concurrency requests efficiently. Load Balancers (NGINX or AWS ELB) to distribute traffic across multiple servers. Database Layer: Relational DB: PostgreSQL or MySQL for structured data like orders and users. NoSQL DB: MongoDB or Firebase for flexible data like menus, reviews, and notifications. Caching: Redis for frequently accessed data to reduce latency. Real-Time Services: WebSockets / Socket.IO for live order updates and driver tracking. Microservices (optional for large scale): Separate services for orders, payments, notifications, and analytics for better maintainability and scalability. Cloud Deployment: AWS, Google Cloud, or Azure with auto-scaling and containerization (Docker/Kubernetes).
A Node.js restaurant ordering platform includes key modules such as user management, menu management, order processing, payment integration, delivery tracking, and admin dashboard for real-time control and analytics.
Node.js is preferred for modern restaurant ordering applications because it offers high scalability, real-time data processing, and fast performance.


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