Scaling LLM Proxy for High Availability

Add more proxy instances behind a load balancer to handle increased traffic and provide redundancy.

• Stateless proxy design
• Shared session storage
• Load balancer integration
• Auto-scaling policies

apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: llm-proxy-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: llm-proxy
  minReplicas: 3
  maxReplicas: 20
  metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 70

Increase resources (CPU, memory) of existing instances for higher throughput per node.

• Larger instance sizes
• More CPU cores
• Increased memory
• Faster networking

resources:
  requests:
    cpu: "2"
    memory: "4Gi"
  limits:
    cpu: "8"
    memory: "16Gi"

# For high-throughput deployments
env:
  - name: MAX_CONNECTIONS
    value: "10000"

Deploy proxies across multiple regions for lower latency and regional failover capabilities.

• Multi-region deployment
• DNS-based routing
• Latency-based routing
• Regional failover

Deploy proxy logic at edge locations using CDN or serverless edge computing.

• Cloudflare Workers
• AWS Lambda@Edge
• Vercel Edge Functions
• Global distribution