Live dashboards that update the instant something happens feel magical to users and are surprisingly approachable to build. This is a compact pattern for pushing real-time event stats to the browser without hammering your API.
Why WebSockets over polling
Polling every second wastes requests and still lags. A single WebSocket keeps a persistent channel open and pushes only deltas:
const ws = new WebSocket("wss://api.example.com/stats");
ws.onmessage = (e) => {
const { round, result, ts } = JSON.parse(e.data);
store.applyDelta(round, result, ts);
};
Keep the client honest
- Sequence numbers on every message so the client can detect gaps and request a resync.
- Heartbeat/ping to distinguish a quiet feed from a dead socket.
- Backpressure: batch high-frequency updates into animation-frame flushes so the UI never thrashes.
Real-world reference
Live game-show stat trackers are a good study in dense, constantly-updating UIs. A tracker like crazy time surfaces rolling histories and live outcomes — a useful reference for how to present a high-frequency event stream to non-technical users without overwhelming them.
Server side
Fan-out is the hard part. Put a Redis pub/sub (or NATS) between your ingest and your socket layer so any number of socket servers can subscribe to the same event stream and scale horizontally.
Takeaway
Persistent socket, sequence-numbered deltas, animation-frame flushing, and a pub/sub fan-out — that's the whole recipe for a real-time stats UI that stays smooth under load.
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