Redis is powerful for caching. Here are effective caching strategies.

Cache-Aside Pattern

async function getUser(id) {
    // Check cache
    let user = await redis.get(`user:${id}`);
    
    if (user) {
        return JSON.parse(user);
    }
    
    // Cache miss - fetch from DB
    user = await db.query('SELECT * FROM users WHERE id = ?', [id]);
    
    // Store in cache
    await redis.setex(`user:${id}`, 3600, JSON.stringify(user));
    
    return user;
}

Write-Through Pattern

async function updateUser(id, data) {
    // Update database
    const user = await db.update('users', id, data);
    
    // Update cache
    await redis.setex(`user:${id}`, 3600, JSON.stringify(user));
    
    return user;
}

Cache Invalidation

async function deleteUser(id) {
    // Delete from database
    await db.delete('users', id);
    
    // Invalidate cache
    await redis.del(`user:${id}`);
}

Best Practices

  1. Set appropriate TTL
  2. Handle cache misses
  3. Invalidate properly
  4. Monitor cache hit rate
  5. Use consistent key patterns

Conclusion

Implement effective Redis caching strategies! ๐Ÿ”ด