AI API Load Balancing

Basic Configuration

Configure a simple load balancer using Nginx to distribute traffic across your AI API servers.

# nginx.conf - Basic Load Balancing
upstream ai_backend {
    server api1.example.com:8000;
    server api2.example.com:8000;
    server api3.example.com:8000;
}

server {
    listen 80;
    location / {
        proxy_pass http://ai_backend;
        proxy_set_header Host $host;
    }
}

Key Features

• Health monitoring and automatic failover
• Session persistence (sticky sessions)
• SSL/TLS termination
• Request rate limiting
• Response caching
• Gzip compression

Advanced: Weighted Round Robin

Assign weights based on server capacity for optimal resource utilization.

# Weighted distribution config
upstream ai_backend {
    server api1.example.com:8000 weight=3;
    server api2.example.com:8000 weight=2;
    server api3.example.com:8000 weight=1;
    
    ip_hash;
    keepalive 32;
}

Best Practices

• Deploy load balancers in multiple AZs
• Enable connection draining
• Monitor real-time metrics
• Implement circuit breakers
• Use geographic routing
• Test failover regularly