IV. Deployment Architecture

Infrastructure Requirements

The KADES system requires a robust infrastructure setup to maintain optimal performance characteristics and ensure high availability.

Compute Specifications

Kubernetes Cluster:
    Version: ^1.24
    Nodes:
        Standard Nodes:
            Count: 3
            CPU: 8 cores
            RAM: 32GB
            Storage: 100GB SSD
        Analytics Nodes:
            Count: 2
            CPU: 16 cores
            RAM: 64GB
            Storage: 200GB SSD

Database Requirements:
    TimescaleDB:
        Version: ^14
        Storage: 500GB NVMe
        Memory: 32GB
        Connections: 500
    Redis:
        Version: ^7.0
        Memory: 16GB
        Persistence: RDB + AOF

Scaling Mechanisms

Horizontal Pod Autoscaling

apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: kades-api-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: kades-api
  minReplicas: 3
  maxReplicas: 10
  metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 70

Load Distribution

LOAD_BALANCER_CONFIG = {
    'algorithm': 'round_robin',
    'session_affinity': True,
    'connection_draining': 30,
    'health_check': {
        'path': '/health',
        'interval': 10,
        'timeout': 5,
        'healthy_threshold': 2,
        'unhealthy_threshold': 3
    }
}

Monitoring Systems

Prometheus Configuration

scrape_configs:
  - job_name: 'kades-metrics'
    scrape_interval: 15s
    static_configs:
      - targets: ['kades-api:8000']
    metric_relabel_configs:
      - source_labels: [__name__]
        regex: 'go_.*'
        action: drop

Alert Rules:
  groups:
    - name: kades-alerts
      rules:
        - alert: HighErrorRate
          expr: rate(http_requests_total{status=~"5.."}[5m]) > 0.01
          for: 5m
          labels:
            severity: critical

Resource Quotas

apiVersion: v1
kind: ResourceQuota
metadata:
  name: kades-quota
spec:
  hard:
    requests.cpu: "32"
    requests.memory: 64Gi
    limits.cpu: "64"
    limits.memory: 128Gi
    pods: "50"

Backup Configuration

Database Backup

CronJob Configuration:
    Schedule: "0 2 * * *"
    Retention: 30 days
    Compression: zstd
    Validation: SHA256
    Storage:
        Type: S3
        Bucket: kades-backups
        Lifecycle: 
            Transition to IA: 7 days
            Transition to Glacier: 30 days

Network Policies

apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: api-network-policy
spec:
  podSelector:
    matchLabels:
      app: kades-api
  policyTypes:
    - Ingress
    - Egress
  ingress:
    - from:
        - podSelector:
            matchLabels:
              app: nginx-ingress
      ports:
        - protocol: TCP
          port: 8000

Disaster Recovery

DR_CONFIG = {
    'rto': 1800,  # 30 minutes
    'rpo': 300,   # 5 minutes
    'regions': ['us-east-1', 'us-west-2'],
    'failover': {
        'automatic': True,
        'threshold': 3,
        'cooldown': 300
    },
    'backup': {
        'frequency': 3600,
        'retention': 30,
        'validation': True
    }
}

Performance Monitoring

Metrics Collection:
    Interval: 10s
    Retention: 30d
    Aggregation: 5m
    Export:
        Prometheus: Enabled
        Grafana: Enabled
        CloudWatch: Optional

Dashboard Components:
    - System Health
    - Resource Utilization
    - API Performance
    - Model Accuracy
    - Error Rates

The system implements comprehensive monitoring and alerting with automated failover mechanisms and robust disaster recovery procedures.