Optimizing LocalTunnel Performance
While LocalTunnel is generally fast, there are several techniques you can use to optimize performance and reliability.
Understanding Performance Factors
Network Latency
- Distance to LocalTunnel servers
- Internet connection quality
- ISP routing efficiency
Local Server Performance
- Application response times
- Resource utilization
- Database query optimization
Tunnel Configuration
- Connection settings
- Request handling
- Error recovery
Optimization Techniques
1. Server-Side Optimizations
Enable Compression
const compression = require('compression');
app.use(compression());
Optimize Static Assets
// Serve static files efficiently
app.use('/static', express.static('public', {
maxAge: '1d',
etag: true
}));
Implement Caching
const mcache = require('memory-cache');
const cache = (duration) => {
return (req, res, next) => {
const key = '__express__' + req.originalUrl || req.url;
const cached = mcache.get(key);
if (cached) {
res.send(cached);
return;
}
res.sendResponse = res.send;
res.send = (body) => {
mcache.put(key, body, duration * 1000);
res.sendResponse(body);
};
next();
};
};
// Cache API responses for 5 minutes
app.get('/api/data', cache(300), (req, res) => {
res.json(getData());
});
2. Connection Optimization
Use Keep-Alive Connections
const http = require('http');
const agent = new http.Agent({
keepAlive: true,
keepAliveMsecs: 30000,
maxSockets: 50
});
Optimize Request Handling
// Increase request timeout
app.use((req, res, next) => {
req.setTimeout(30000); // 30 seconds
next();
});
3. LocalTunnel Configuration
Use Persistent Subdomains
# Consistent subdomain reduces DNS lookup time
lt --port 3000 --subdomain myapp-prod
Implement Reconnection Logic
const localtunnel = require('localtunnel');
async function createStableTunnel(options) {
let tunnel;
const connect = async () => {
try {
tunnel = await localtunnel(options);
console.log('Tunnel created:', tunnel.url);
tunnel.on('close', () => {
console.log('Tunnel closed, reconnecting...');
setTimeout(connect, 1000);
});
tunnel.on('error', (err) => {
console.error('Tunnel error:', err);
setTimeout(connect, 5000);
});
} catch (err) {
console.error('Failed to create tunnel:', err);
setTimeout(connect, 5000);
}
};
await connect();
return tunnel;
}
Monitoring Performance
1. Response Time Monitoring
app.use((req, res, next) => {
const start = Date.now();
res.on('finish', () => {
const duration = Date.now() - start;
console.log(`${req.method} ${req.url} - ${duration}ms`);
// Alert on slow responses
if (duration > 5000) {
console.warn(`Slow response: ${req.url} took ${duration}ms`);
}
});
next();
});
2. Request Volume Tracking
let requestCount = 0;
let lastReset = Date.now();
app.use((req, res, next) => {
requestCount++;
// Reset counter every minute
if (Date.now() - lastReset > 60000) {
console.log(`Requests per minute: ${requestCount}`);
requestCount = 0;
lastReset = Date.now();
}
next();
});
3. Memory Usage Monitoring
setInterval(() => {
const used = process.memoryUsage();
console.log('Memory usage:', {
rss: Math.round(used.rss / 1024 / 1024) + ' MB',
heapTotal: Math.round(used.heapTotal / 1024 / 1024) + ' MB',
heapUsed: Math.round(used.heapUsed / 1024 / 1024) + ' MB'
});
}, 30000);
Database Optimization
Connection Pooling
const { Pool } = require('pg');
const pool = new Pool({
connectionString: process.env.DATABASE_URL,
max: 20,
idleTimeoutMillis: 30000,
connectionTimeoutMillis: 2000,
});
Query Optimization
// Use prepared statements
const query = 'SELECT * FROM users WHERE id = $1';
const values = [userId];
const result = await pool.query(query, values);
Load Testing
Using Artillery
# artillery-config.yml
config:
target: 'https://myapp.loca.lt'
phases:
- duration: 60
arrivalRate: 10
scenarios:
- name: "API Load Test"
requests:
- get:
url: "/api/users"
- post:
url: "/api/users"
json:
name: "Test User"
Using curl for Quick Tests
# Test response time
time curl https://myapp.loca.lt/api/health
# Parallel requests
for i in {1..10}; do
curl -s https://myapp.loca.lt/api/users &
done
wait
Performance Checklist
- [ ] Compression enabled
- [ ] Static assets optimized
- [ ] Database queries optimized
- [ ] Caching implemented
- [ ] Keep-alive connections used
- [ ] Response time monitoring active
- [ ] Memory usage tracked
- [ ] Load testing performed
- [ ] Reconnection logic implemented
- [ ] Error handling optimized
Common Performance Issues
1. Memory Leaks
- Use process managers like PM2
- Monitor memory usage
- Implement garbage collection tuning
2. Database Bottlenecks
- Add proper indexes
- Use connection pooling
- Implement query caching
3. Network Issues
- Test with different ISPs
- Use CDNs for static assets
- Implement retry logic
With these optimizations, your LocalTunnel setup will be fast and reliable!