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Production Deployment

Best practices and considerations for deploying Site Availability Monitoring in production environments.

Production Checklist​

Security​

  • Enable HMAC authentication
  • Use HTTPS/TLS everywhere
  • Configure network policies
  • Set up secrets management
  • Enable audit logging
  • Regular security updates

Reliability​

  • Multi-replica deployments
  • Health checks configured
  • Resource limits set
  • Persistent storage
  • Backup strategy
  • Monitoring and alerting

Performance​

  • Resource sizing
  • Horizontal autoscaling
  • Load balancing
  • CDN for static assets
  • Database optimization
  • Caching strategy

Architecture Overview​

Internet → Load Balancer → Ingress Controller → Frontend/Backend
                                              ↓
                                           Prometheus ← Apps
                                              ↓
                                            Grafana

High Availability Setup​

Load Balancer Configuration​

# AWS ALB example
apiVersion: v1
kind: Service
metadata:
  name: site-availability-frontend
  annotations:
    service.beta.kubernetes.io/aws-load-balancer-type: "alb"
    service.beta.kubernetes.io/aws-load-balancer-backend-protocol: "http"
    service.beta.kubernetes.io/aws-load-balancer-ssl-cert: "arn:aws:acm:..."
spec:
  type: LoadBalancer
  ports:
    - port: 443
      targetPort: 80
  selector:
    app: site-availability-frontend

Multi-Zone Deployment​

backend:
  replicas: 3
  affinity:
    podAntiAffinity:
      preferredDuringSchedulingIgnoredDuringExecution:
        - weight: 100
          podAffinityTerm:
            labelSelector:
              matchExpressions:
                - key: app
                  operator: In
                  values:
                    - site-availability-backend
            topologyKey: kubernetes.io/hostname

Monitoring and Alerting​

Prometheus Rules​

groups:
  - name: site-availability
    rules:
      - alert: SiteAvailabilityDown
        expr: up{job="site-availability-backend"} == 0
        for: 1m
        labels:
          severity: critical
        annotations:
          summary: "Site Availability service is down"

      - alert: HighMemoryUsage
        expr: container_memory_usage_bytes{pod=~"site-availability-.*"} / container_spec_memory_limit_bytes > 0.8
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "High memory usage detected"

Grafana Dashboard​

Import the dashboard from chart/grafana-dashboards/dashboard.json for comprehensive monitoring.

Security Configuration​

TLS/SSL Setup​

# cert-manager certificate
apiVersion: cert-manager.io/v1
kind: Certificate
metadata:
  name: site-availability-tls
  namespace: monitoring
spec:
  secretName: site-availability-tls
  issuerRef:
    name: letsencrypt-prod
    kind: ClusterIssuer
  dnsNames:
    - monitoring.example.com

RBAC Configuration​

apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  namespace: monitoring
  name: site-availability
rules:
  - apiGroups: [""]
    resources: ["configmaps", "secrets"]
    verbs: ["get", "list"]

Network Policies​

apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: site-availability-netpol
  namespace: monitoring
spec:
  podSelector:
    matchLabels:
      app: site-availability-backend
  policyTypes:
    - Ingress
    - Egress
  ingress:
    - from:
        - podSelector:
            matchLabels:
              app: site-availability-frontend
      ports:
        - protocol: TCP
          port: 8080

Backup and Recovery​

Configuration Backup​

# Backup Kubernetes resources
kubectl get configmap site-availability-config -o yaml > config-backup.yaml
kubectl get secret site-availability-secrets -o yaml > secrets-backup.yaml

# Backup Prometheus data
kubectl exec prometheus-pod -- tar czf /tmp/prometheus-backup.tar.gz /prometheus
kubectl cp prometheus-pod:/tmp/prometheus-backup.tar.gz ./prometheus-backup.tar.gz

Disaster Recovery Plan​

  1. Configuration Recovery: Restore from version control
  2. Data Recovery: Restore Prometheus data from backups
  3. Service Recovery: Redeploy using Helm charts
  4. Verification: Run health checks and validate monitoring

Performance Optimization​

Resource Sizing​

backend:
  resources:
    requests:
      cpu: 200m
      memory: 256Mi
    limits:
      cpu: 1000m
      memory: 1Gi

frontend:
  resources:
    requests:
      cpu: 100m
      memory: 128Mi
    limits:
      cpu: 500m
      memory: 256Mi

Horizontal Pod Autoscaling​

apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: site-availability-backend-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: site-availability-backend
  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

Operational Procedures​

Deployment Process​

  1. Pre-deployment:

    • Review changes in staging
    • Update documentation
    • Notify stakeholders

  2. Deployment:

    helm upgrade site-availability chart/ -f values-prod.yaml

  3. Post-deployment:

    • Verify health checks
    • Monitor metrics
    • Test functionality

Maintenance Windows​

Schedule regular maintenance for:

  • Security updates
  • Dependency upgrades
  • Performance tuning
  • Backup verification

Incident Response​

  1. Detection: Automated alerts
  2. Assessment: Check dashboards and logs
  3. Response: Follow runbooks
  4. Resolution: Apply fixes
  5. Post-mortem: Document lessons learned

Cost Optimization​

Resource Management​

# Use resource quotas
apiVersion: v1
kind: ResourceQuota
metadata:
  name: site-availability-quota
  namespace: monitoring
spec:
  hard:
    requests.cpu: "4"
    requests.memory: 8Gi
    limits.cpu: "8"
    limits.memory: 16Gi

Auto-scaling Policies​

  • Scale down during off-hours
  • Use spot instances for non-critical workloads
  • Implement resource-based scaling
  • Monitor and adjust regularly

Compliance and Governance​

Audit Logging​

# Enable audit logging
apiVersion: v1
kind: ConfigMap
metadata:
  name: audit-policy
data:
  audit-policy.yaml: |
    apiVersion: audit.k8s.io/v1
    kind: Policy
    rules:
    - level: Metadata
      resources:
      - group: ""
        resources: ["configmaps", "secrets"]

Documentation Requirements​

  • Architecture diagrams
  • Runbooks and procedures
  • Security policies
  • Change management process
  • Disaster recovery plans

Migration Guide​

From Development to Production​

  1. Configuration Changes:

    • Update resource limits
    • Enable authentication
    • Configure persistent storage
    • Set up monitoring

  2. Data Migration:

    • Export configuration
    • Migrate historical data
    • Validate data integrity

  3. Testing:

    • Functional testing
    • Performance testing
    • Security scanning
    • Load testing

Rollback Procedures​

# Quick rollback
helm rollback site-availability 1

# Gradual rollback with traffic splitting
kubectl patch deployment site-availability-backend -p '{"spec":{"replicas":1}}'
# Monitor and scale back up gradually