The Architecture of TableOp
How we handled real-time websocket connections for 500+ restaurants.
Open PDF in new tabWhen we set out to build TableOp, the challenge was clear: create a hospitality operating system that could handle real-time order synchronization across hundreds of concurrent restaurant locations.
The Challenge
Traditional REST APIs couldn't meet our latency requirements. With orders flowing in every second during peak hours, we needed sub-100ms update propagation to all connected devices—from kitchen displays to waiter tablets to management dashboards.
Our Solution
We implemented a custom WebSocket infrastructure using Socket.IO with Redis pub/sub as the message broker. This allowed us to:
- •Maintain persistent connections with automatic reconnection handling
- •Scale horizontally across multiple server instances
- •Implement room-based broadcasting for efficient message routing
- •Handle 10,000+ concurrent connections per server node
Results
TableOp now processes over 50,000 orders daily with 99.9% uptime and average latency under 50ms.
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