Server-Sent Events: Real-Time Updates Without WebSockets
WebSockets are bidirectional — great for chat. But if you only need server→client updates (live feeds, progress bars, notifications), Server-Sent Events are simpler, cheaper, and work over plain HTTP.
When to Use SSE vs WebSockets
| SSE | WebSockets | |
|---|---|---|
| Direction | Server → Client only | Bidirectional |
| Protocol | HTTP | WS |
| Auto-reconnect | Built in | Manual |
| Load balancer friendly | Yes (with care) | Requires sticky sessions |
| Use case | Live feeds, progress, notifications | Chat, gaming, collaboration |
Server Implementation
app.get('/api/events', (req, res) => {
// Set SSE headers
res.setHeader('Content-Type', 'text/event-stream');
res.setHeader('Cache-Control', 'no-cache');
res.setHeader('Connection', 'keep-alive');
res.flushHeaders();
// Helper to send events
const send = (event: string, data: unknown) => {
res.write(`event: ${event}\ndata: ${JSON.stringify(data)}\n\n`);
};
// Send initial state
send('connected', { userId: req.user.id });
// Subscribe to events
const unsubscribe = eventBus.on('notification', (payload) => {
if (payload.userId === req.user.id) {
send('notification', payload);
}
});
// Keep-alive ping every 30s
const ping = setInterval(() => res.write(':ping\n\n'), 30000);
// Cleanup on disconnect
req.on('close', () => {
unsubscribe();
clearInterval(ping);
});
});
Client Implementation
function useSSE(url: string) {
const [events, setEvents] = useState<Event[]>([]);
useEffect(() => {
const sse = new EventSource(url, { withCredentials: true });
sse.addEventListener('notification', (e) => {
const data = JSON.parse(e.data);
setEvents(prev => [...prev, data]);
});
sse.onerror = () => {
// EventSource auto-reconnects — onerror fires on reconnect attempts too
console.log('SSE reconnecting...');
};
return () => sse.close();
}, [url]);
return events;
}
SSE for AI Streaming
SSE is how LLM APIs stream tokens — the exact pattern Anthropic and OpenAI use:
// Stream Claude response to the browser
app.post('/api/chat', async (req, res) => {
res.setHeader('Content-Type', 'text/event-stream');
res.flushHeaders();
const stream = client.messages.stream({
model: 'claude-sonnet-4-6',
max_tokens: 1024,
messages: req.body.messages,
});
for await (const chunk of stream) {
if (chunk.type === 'content_block_delta') {
res.write(`data: ${JSON.stringify({ text: chunk.delta.text })}\n\n`);
}
}
res.write('data: [DONE]\n\n');
res.end();
});
SSE-based AI streaming, real-time notifications, and live updates are part of the full-stack patterns in the AI SaaS Starter Kit.
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