A scalable chat system ensures that messages sent by users are efficiently distributed across multiple WebSocket servers, enabling high availability and performance. Redis Pub/Sub (Publish-Subscribe) plays a key role in synchronizing messages across different instances in a distributed architecture.
- The chat server runs multiple WebSocket server instances using Node.js Cluster Mode to utilize multiple CPU cores.
- Each worker process independently manages WebSocket connections and handles incoming messages.
- Clients can connect to any WebSocket instance, meaning messages need to be shared across all instances.
- Redis acts as a real-time message broker.
- When a WebSocket instance receives a message, it publishes the message to a Redis channel (
SCALE_CHAT). - All WebSocket instances subscribe to the
SCALE_CHATchannel to receive messages, ensuring every client gets the message regardless of which server they are connected to.
- When a user sends a message, the WebSocket server publishes it to Redis.
- Redis then broadcasts the message to all subscribed WebSocket instances.
- Each WebSocket instance forwards the message to connected clients, ensuring real-time message delivery.
1️⃣ Client sends a message → WebSocket server receives it.
2️⃣ Server publishes the message to Redis (SCALE_CHAT).
3️⃣ All servers receive the message from Redis.
4️⃣ Servers broadcast the message to connected clients.
- Clients are distributed across multiple WebSocket servers.
- Message delivery is synchronized using Redis, ensuring no duplication or loss.
- If a WebSocket server crashes, other servers continue handling connections.
- Redis ensures messages are not tied to a single server.
- More WebSocket instances can be added to handle increased load.
- Redis Pub/Sub keeps all instances in sync without complex inter-server communication.
- Live Chat Applications (e.g., WhatsApp, Slack)
- Stock Market Tickers (Real-time price updates)
- Gaming Chat Systems (Real-time multiplayer communication)
- Collaborative Editing Tools (Google Docs-style live updates)
This architecture ensures real-time performance, reliability, and scalability while being lightweight and easy to implement! 🚀