websocket-engineer
DevelopmentReal-time communication expertise covering WebSocket protocol, Socket.IO patterns, connection lifecycle, room and channel management, reconnection strategies, scaling WebSockets, SSE vs WebSocket, heartbeat/ping-pong, and message serialization. Use when the user asks about websocket engineer, websocket engineer best practices, or needs guidance on websocket engineer implementation. Do NOT use when the user needs a different specialized skill or is asking about an unrelated technology domain.
How to use this skill
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WebSocket Engineer
Purpose
Design and implement real-time communication systems using WebSockets and related technologies. This skill covers protocol fundamentals, architecture patterns, scaling strategies, and the decision framework for choosing between real-time technologies.
Technology Selection
Decision Matrix
NEED TECHNOLOGY
-----------------------------------------------------------
Unidirectional (server -> client) Server-Sent Events (SSE)
Bidirectional, simple Native WebSocket
Bidirectional + features Socket.IO
High-frequency data (gaming) WebSocket + binary
Occasional updates HTTP polling / long-polling
SSE vs WebSocket:
SSE:
+ Simple (just HTTP)
+ Auto-reconnection built in
+ Works through proxies/firewalls easily
+ Event ID for resuming
# ... (condensed) ...
+ Acknowledgments (request-reply)
+ Binary support
- Additional library dependency
- Larger payload (protocol overhead)
- Not a standard protocol
WebSocket Protocol
Connection Lifecycle
1. HANDSHAKE (HTTP Upgrade)
Client -> Server: GET /ws HTTP/1.1
Connection: Upgrade
Upgrade: websocket
Sec-WebSocket-Key: dGhlIHNhbXBsZS...
Sec-WebSocket-Version: 13
Server -> Client: HTTP/1.1 101 Switching Protocols
Connection: Upgrade
Upgrade: websocket
Sec-WebSocket-Accept: s3pPLMBiTxaQ9k...
2. DATA TRANSFER
Bidirectional frames (text or binary)
# ... (condensed) ...
1003 Unsupported data type
1006 Abnormal closure (no close frame received)
1008 Policy violation
1009 Message too big
1011 Unexpected server error
Native WebSocket Server (Node.js)
import { WebSocketServer, WebSocket } from 'ws';
import { createServer } from 'http';
const server = createServer();
const wss = new WebSocketServer({ server });
// Authentication during upgrade
server.on('upgrade', (request, socket, head) => {
const token = new URL(request.url!, `[reference URL]).searchParams.get('token');
try {
const user = verifyToken(token!);
wss.handleUpgrade(request, socket, head, (ws) => {
(ws as any).user = user;
# ... (condensed) ...
}, 30000); // Every 30 seconds
wss.on('close', () => clearInterval(heartbeatInterval));
server.listen(3000);
Socket.IO Patterns
Server Setup
import { Server } from 'socket.io';
import { createServer } from 'http';
const httpServer = createServer();
const io = new Server(httpServer, {
cors: {
origin: ['[reference URL]'],
credentials: true,
},
pingTimeout: 60000,
pingInterval: 25000,
maxHttpBufferSize: 1e6, // 1MB max message size
connectionStateRecovery: {
maxDisconnectionDuration: 2 * 60 * 1000, // 2 minutes
# ... (condensed) ...
// Disconnect
socket.on('disconnect', (reason) => {
console.log(`Disconnected: ${user.id} (${reason})`);
});
});
Client Setup
import { io, Socket } from 'socket.io-client';
function createSocket(token: string): Socket {
const socket = io('[reference URL]', {
auth: { token },
reconnection: true,
reconnectionAttempts: 10,
reconnectionDelay: 1000,
reconnectionDelayMax: 30000,
timeout: 10000,
transports: ['websocket'], // Skip polling, go straight to WS
});
socket.on('connect', () => {
# ... (condensed) ...
if (response.error) reject(new Error(response.error));
else resolve(response);
});
});
}
Room/Channel Management
Room Patterns
// Namespace for feature separation
const chatNamespace = io.of('/chat');
const notificationNamespace = io.of('/notifications');
// Each namespace has independent middleware and event handlers
chatNamespace.use(chatAuthMiddleware);
notificationNamespace.use(notificationAuthMiddleware);
// Room operations
// Join: socket.join('room:abc')
// Leave: socket.leave('room:abc')
// Emit to room: io.to('room:abc').emit('event', data)
// Emit to room except sender: socket.to('room:abc').emit('event', data)
// Get room members: io.in('room:abc').fetchSockets()
# ... (condensed) ...
chat: (id: string) => `chat:${id}`,
document: (id: string) => `doc:${id}`,
user: (id: string) => `user:${id}`, // Personal notifications
org: (id: string) => `org:${id}`, // Organization-wide
};
Reconnection Strategy
// Exponential backoff with jitter
class ReconnectionManager {
private attempt = 0;
private maxAttempts = 10;
private baseDelay = 1000; // 1 second
private maxDelay = 30000; // 30 seconds
private timer: ReturnType<typeof setTimeout> | null = null;
scheduleReconnect(connect: () => void): void {
if (this.attempt >= this.maxAttempts) {
console.error('Max reconnection attempts reached');
return;
}
# ... (condensed) ...
cancel(): void {
if (this.timer) clearTimeout(this.timer);
}
}
Scaling WebSockets
Horizontal Scaling with Redis Adapter
import { Server } from 'socket.io';
import { createAdapter } from '@socket.io/redis-adapter';
import { createClient } from 'redis';
// Each server instance connects to Redis
const pubClient = createClient({ url: REDIS_URL });
const subClient = pubClient.duplicate();
await Promise.all([pubClient.connect(), subClient.connect()]);
const io = new Server(httpServer);
io.adapter(createAdapter(pubClient, subClient));
// Now io.to('room').emit() works across all server instances
// Redis Pub/Sub broadcasts to all connected Socket.IO servers
Architecture
[Load Balancer]
(sticky sessions*)
/ | \
[Server 1] [Server 2] [Server 3]
\ | /
[Redis Adapter (Pub/Sub)]
|
[Redis Cluster]
* Sticky sessions ensure a client always hits the same server.
Required because WebSocket upgrade must go to the same server
that received the initial HTTP request.
With Socket.IO: use cookie-based affinity or client IP hash.
With K8s: use session affinity on Ingress.
Scaling Considerations
CONNECTION LIMITS:
- Each server: 10,000-50,000 connections (depends on memory/CPU)
- Each connection: ~10KB base memory
- 50,000 connections ~= 500MB just for connections
- Linux: increase file descriptor limits (ulimit -n 1000000)
MESSAGE THROUGHPUT:
- JSON serialization is CPU-bound
- Binary (MessagePack, Protobuf) reduces serialization overhead
- Batch messages when possible (group updates)
- Use compression for large payloads (permessage-deflate)
PRESENCE TRACKING:
- Use Redis Sets for online users per room
- Use Redis Pub/Sub for presence change notifications
- Don't query presence from individual server instances
Heartbeat / Ping-Pong
// Server-side heartbeat (native WebSocket)
const HEARTBEAT_INTERVAL = 30000; // 30 seconds
const HEARTBEAT_TIMEOUT = 10000; // 10 seconds to respond
function setupHeartbeat(wss: WebSocketServer) {
const interval = scheduleRepeating(() => {
wss.clients.forEach((ws) => {
if (!(ws as any).isAlive) {
console.log('Client unresponsive, terminating');
return ws.terminate();
}
(ws as any).isAlive = false;
ws.ping(); // Send ping frame
});
# ... (condensed) ...
const latency = Date.now() - msg.timestamp;
metrics.recordLatency(latency);
}
});
}
Message Serialization
// JSON (default, human-readable)
ws.send(JSON.stringify({ type: 'message', data: { text: 'hello' } }));
// MessagePack (binary, more compact)
import { encode, decode } from '@msgpack/msgpack';
ws.send(encode({ type: 'message', data: { text: 'hello' } }));
// Protocol Buffers (binary, schema-enforced)
// Requires .proto schema definition
const Message = proto.lookupType('Message');
const buffer = Message.encode({ type: 'message', text: 'hello' }).finish();
ws.send(buffer);
// COMPARISON:
// JSON: {"type":"message","text":"hello"} -> ~36 bytes
// MessagePack: same structure -> ~26 bytes (28% smaller)
// Protobuf: same structure -> ~15 bytes (58% smaller)
// RECOMMENDATION:
// Start with JSON (simplest, debuggable)
// Switch to MessagePack if bandwidth is a concern
// Use Protobuf for high-frequency, performance-critical scenarios
Server-Sent Events (SSE)
// Server
app.get('/api/events', (req, res) => {
res.writeHead(200, {
'Content-Type': 'text/event-stream',
'Cache-Control': 'no-cache',
'Connection': 'keep-alive',
'X-Accel-Buffering': 'no', // Disable Nginx buffering
});
// Send initial connection event
res.write(`data: ${JSON.stringify({ type: 'connected' })}\n\n`);
// Send periodic heartbeat to keep connection alive
const heartbeat = scheduleRepeating(() => {
# ... (condensed) ...
eventSource.addEventListener('message:new', (e) => {
const message = JSON.parse(e.data);
addMessageToUI(message);
});
// Auto-reconnects with Last-Event-ID header
WebSocket Architecture Checklist
- Technology selected (WebSocket, Socket.IO, SSE) based on requirements
- Authentication implemented during connection upgrade
- Heartbeat/ping-pong configured to detect stale connections
- Reconnection strategy with exponential backoff and jitter
- Room/channel management for grouping connections
- Message format defined (JSON, MessagePack, or Protobuf)
- Redis adapter configured for horizontal scaling
- Sticky sessions enabled on load balancer
- File descriptor limits increased on servers
- Connection and message rate limiting implemented
- Error handling for malformed messages
- Graceful shutdown with close frames
- Monitoring covers connection count, message throughput, latency
- Presence tracking using Redis for cross-server accuracy
When to Use
Use this skill when:
- Designing or implementing websocket engineer solutions
- Reviewing or improving existing websocket engineer approaches
- Making architectural or implementation decisions about websocket engineer
- Learning websocket engineer patterns and best practices
- Troubleshooting websocket engineer-related issues
Do NOT use this skill when:
- The question is about a fundamentally different technology domain
- A more specific sibling skill covers the exact topic needed
- The user needs a complete hands-on tutorial rather than expert guidance
Output Format
# Websocket Engineer Analysis
## Context Assessment
[Situation summary and constraints]
## Recommended Approach
[Primary recommendation with rationale]
## Implementation Steps
1. [Step with specific details]
2. [Step with specific details]
3. [Step with specific details]
## Trade-offs and Considerations
- [Key trade-off 1]
- [Key trade-off 2]
## Next Steps
- [Immediate action item]
- [Follow-up action item]
Example
Input: "Help me implement websocket engineer for a medium-scale production application"
Output: A structured analysis covering current state assessment, recommended websocket engineer approach with specific patterns, implementation roadmap with milestones, and risk mitigation strategies tailored to the application scale and constraints.
Edge Cases
- Legacy system integration: When websocket engineer must coexist with legacy approaches, provide a gradual migration path rather than a complete rewrite
- Scale mismatch: When the solution complexity exceeds the project scale, recommend a simpler approach and note when to revisit
- Team skill gaps: When the team lacks experience with the recommended approach, include learning resources and simpler alternatives
- Conflicting requirements: When constraints conflict (e.g., performance vs. maintainability), explicitly state the trade-off and recommend based on stated priorities