AI-Driven Kubernetes v1.31 YAML Configuration Generation: Best Practices

# AI generates complete Kubernetes application stack

# Input specification:
# app: web-api
# replicas: 3
# database: postgres
# monitoring: enabled
# security: high

# AI-generated Deployment
apiVersion: apps/v1
kind: Deployment
metadata:
  name: web-api
  labels:
    app: web-api
    version: v1.0.0
spec:
  replicas: 3
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxSurge: 1
      maxUnavailable: 0
  selector:
    matchLabels:
      app: web-api
  template:
    metadata:
      labels:
        app: web-api
        version: v1.0.0
    spec:
      serviceAccountName: web-api-sa
      securityContext:
        runAsNonRoot: true
        runAsUser: 1000
        fsGroup: 1000
      containers:
      - name: web-api
        image: web-api:v1.0.0
        ports:
        - containerPort: 8080
          protocol: TCP
        env:
        - name: DATABASE_URL
          valueFrom:
            secretKeyRef:
              name: db-credentials
              key: url
        resources:
          requests:
            memory: "256Mi"
            cpu: "250m"
          limits:
            memory: "512Mi"
            cpu: "500m"
        livenessProbe:
          httpGet:
            path: /health
            port: 8080
          initialDelaySeconds: 30
          periodSeconds: 10
        readinessProbe:
          httpGet:
            path: /ready
            port: 8080
          initialDelaySeconds: 5
          periodSeconds: 5
        securityContext:
          allowPrivilegeEscalation: false
          readOnlyRootFilesystem: true
          capabilities:
            drop:
            - ALL

---
# AI-generated Service
apiVersion: v1
kind: Service
metadata:
  name: web-api-service
  labels:
    app: web-api
spec:
  type: ClusterIP
  ports:
  - port: 80
    targetPort: 8080
    protocol: TCP
  selector:
    app: web-api

---
# AI-generated HorizontalPodAutoscaler
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: web-api-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: web-api
  minReplicas: 3
  maxReplicas: 10
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 70
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: 80

---
# AI-generated NetworkPolicy
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: web-api-netpol
spec:
  podSelector:
    matchLabels:
      app: web-api
  policyTypes:
  - Ingress
  - Egress
  ingress:
  - from:
    - namespaceSelector:
        matchLabels:
          name: ingress-system
    ports:
    - protocol: TCP
      port: 8080
  egress:
  - to:
    - namespaceSelector:
        matchLabels:
          name: database
    ports:
    - protocol: TCP
      port: 5432
  - to: {}
    ports:
    - protocol: TCP
      port: 443
    - protocol: TCP
      port: 53
    - protocol: UDP
      port: 53

# AI generates security-hardened configurations

# AI-generated ServiceAccount with minimal permissions
apiVersion: v1
kind: ServiceAccount
metadata:
  name: web-api-sa
  namespace: production
automountServiceAccountToken: false

---
# AI-generated Role with least privilege
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: web-api-role
  namespace: production
rules:
- apiGroups: [""]
  resources: ["secrets"]
  resourceNames: ["db-credentials", "app-config"]
  verbs: ["get"]
- apiGroups: [""]
  resources: ["configmaps"]
  resourceNames: ["app-configmap"]
  verbs: ["get"]

---
# AI-generated RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: web-api-rolebinding
  namespace: production
subjects:
- kind: ServiceAccount
  name: web-api-sa
  namespace: production
roleRef:
  kind: Role
  name: web-api-role
  apiGroup: rbac.authorization.k8s.io

---
# AI-generated PodSecurityPolicy (for older clusters)
apiVersion: policy/v1beta1
kind: PodSecurityPolicy
metadata:
  name: web-api-psp
spec:
  privileged: false
  allowPrivilegeEscalation: false
  requiredDropCapabilities:
    - ALL
  volumes:
    - 'configMap'
    - 'emptyDir'
    - 'projected'
    - 'secret'
    - 'downwardAPI'
    - 'persistentVolumeClaim'
  runAsUser:
    rule: 'MustRunAsNonRoot'
  seLinux:
    rule: 'RunAsAny'
  fsGroup:
    rule: 'RunAsAny'

---
# AI-generated Secret with proper annotations
apiVersion: v1
kind: Secret
metadata:
  name: db-credentials
  namespace: production
  annotations:
    kubectl.kubernetes.io/last-applied-configuration: |
      {"apiVersion":"v1","kind":"Secret","metadata":{"name":"db-credentials","namespace":"production"},"type":"Opaque"}
type: Opaque
data:
  url: # Base64 encoded database URL
  username: # Base64 encoded username
  password: # Base64 encoded password

# AI generates comprehensive monitoring setup

# AI-generated ServiceMonitor for Prometheus
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: web-api-metrics
  labels:
    app: web-api
spec:
  selector:
    matchLabels:
      app: web-api
  endpoints:
  - port: metrics
    interval: 30s
    path: /metrics

---
# AI-generated PrometheusRule for alerting
apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
  name: web-api-alerts
spec:
  groups:
  - name: web-api
    rules:
    - alert: WebAPIHighErrorRate
      expr: rate(http_requests_total{job="web-api",status=~"5.."}[5m]) > 0.1
      for: 2m
      labels:
        severity: warning
      annotations:
        summary: "High error rate detected"
        description: "Error rate is {{ $value }} errors per second"
    
    - alert: WebAPIHighLatency
      expr: histogram_quantile(0.95, rate(http_request_duration_seconds_bucket{job="web-api"}[5m])) > 0.5
      for: 5m
      labels:
        severity: warning
      annotations:
        summary: "High latency detected"
        description: "95th percentile latency is {{ $value }}s"

---
# AI-generated Ingress with observability
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: web-api-ingress
  annotations:
    nginx.ingress.kubernetes.io/enable-opentracing: "true"
    nginx.ingress.kubernetes.io/configuration-snippet: |
      more_set_headers "X-Request-ID $request_id";
    nginx.ingress.kubernetes.io/server-snippet: |
      location /metrics {
        deny all;
        return 403;
      }
spec:
  ingressClassName: nginx
  tls:
  - hosts:
    - api.example.com
    secretName: api-tls-secret
  rules:
  - host: api.example.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: web-api-service
            port:
              number: 80