Simple AI Router (SAR) - High-Performance AI Inference Router

SAR is a production-grade gRPC router built in Go that intelligently distributes AI inference requests across multiple clusters with advanced load balancing and traffic management capabilities.

Key Features

🚀 High-Performance Routing

• gRPC-native: Built from ground up for gRPC protocol efficiency
• Sub-millisecond latency: Optimized request routing with minimal overhead
• Connection pooling: Persistent connections to backend services
• Protocol buffer optimization: Binary serialization for maximum throughput

🎯 Intelligent Load Balancing

• Round Robin: Equal distribution across healthy endpoints
• Weighted Round Robin: Capacity-based traffic distribution
• Least Connections: Route to least busy endpoints
• Health-aware routing: Automatic failover for unhealthy services

🛡️ Advanced Traffic Filtering

• Rate limiting: Per-client and global request throttling
• Traffic shaping: Bandwidth and request size limits
• Circuit breaker: Automatic service protection during failures
• Request validation: Protocol buffer schema enforcement

🌐 Multi-Cluster Support

• Cross-cluster routing: Intelligent traffic distribution across regions
• Cluster affinity: Route requests to preferred clusters
• Failover policies: Automatic cluster failover during outages
• Geo-routing: Location-based intelligent routing

📊 Comprehensive Monitoring

• Real-time metrics: Request rates, latencies, error rates
• Distributed tracing: End-to-end request tracking
• Health dashboards: Service and cluster health monitoring
• Custom alerts: Configurable alerting for SLA violations

Architecture Example (Equivalent)

graph TD
    A[Client gRPC Requests] --> B[SAR Load Balancer]
    B --> C[Traffic Filter]
    C --> D[Route Selection Engine]
    D --> E[Connection Pool]
    E --> F[Cluster A]
    E --> G[Cluster B]
    E --> H[Cluster C]
    
    B --> I[Prometheus Metrics]
    I --> J[Grafana Dashboard]
    
    D --> K[Service Discovery]
    K --> L[Consul/etcd]
    
    C --> M[Rate Limiter]
    C --> N[Circuit Breaker]

Performance Characteristics (Equivalent)

Configuration (Equivalent)

# sar-config.yaml
server:
  port: 8080
  grpc_port: 9090
  
load_balancer:
  algorithm: "weighted_round_robin"
  health_check_interval: "30s"
  
clusters:
  - name: "cluster-east"
    endpoints:
      - "inference-svc-1.cluster-east:9090"
      - "inference-svc-2.cluster-east:9090"
    weight: 60
    
  - name: "cluster-west"
    endpoints:
      - "inference-svc-1.cluster-west:9090" 
      - "inference-svc-2.cluster-west:9090"
    weight: 40

traffic_filter:
  rate_limit:
    requests_per_second: 1000
    burst_size: 100
  circuit_breaker:
    failure_threshold: 5
    timeout: "60s"

Deployment

# Build and deploy SAR
docker build -t sar:latest .
kubectl apply -f k8s/deployment.yaml

# Configure service discovery
consul kv put sar/clusters/config @sar-config.yaml

# Monitor performance
kubectl port-forward svc/grafana 3000:3000