Real-Time And WebSocket Work In Your App

Nobody buys "a WebSocket project". What they have is a product that needs live updates in one screen: a dashboard, a chat, a job queue, a collaborative editor. That feature is what we build, inside the application it belongs to, and the hard part is never the socket itself — it is what happens on a dropped connection and on the second server.

WebSockets seem simple until you ship them. A "hello world" WebSocket server runs on any platform. A WebSocket server that survives Wi-Fi drops, scales horizontally, and broadcasts to 10,000 clients without melting is a different project. Most teams underestimate the difference and ship the simple version, then discover the gap in week three of production traffic.

Reconnection logic is non-negotiable. Mobile clients lose connectivity constantly. Browser tabs go to sleep. CDN proxies disconnect idle connections. The server needs to handle reconnects gracefully — resume from a sequence number, replay missed messages, deduplicate. Without this, every train tunnel costs you data.

Horizontal scaling is the next wall. A single WebSocket server holds connections in memory. When you scale to N servers, broadcasts need to fan out across servers. Redis Pub/Sub is the standard answer; NATS, Kafka, and centrifugo are alternatives. Each has different delivery guarantees and operational costs.

Presence (who is online, who is typing) is harder than it sounds. With one server, in-memory state works. With multiple servers, presence needs to be coordinated — usually via Redis with TTLs. Stale presence (the user crashed, the connection died silently) is the bug that always ships.

AsyncForge has senior real-time engineers shipping production WebSocket services. Submit chat backends, live dashboards, collaborative editors, presence systems, or a full real-time stack. Light 4 days, Standard 48 hours, Pro 1 day.