Performance Optimization Tips for LocalTunnel

Maximize LocalTunnel performance with these optimization techniques and best practices.

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!

Share this article

Related Articles