PVPipe Biometric Authentication - Production Deployment Guide

Overview

This guide provides comprehensive instructions for deploying the PVPipe Biometric Authentication service in production environments, including high availability, security hardening, and monitoring setup.

Prerequisites

Infrastructure Requirements

Minimum Production Requirements

  • Kubernetes: v1.24+ or Docker Swarm
  • PostgreSQL: v15+ with streaming replication
  • Redis: v7+ with clustering
  • Load Balancer: NGINX, HAProxy, or cloud provider
  • Certificate Management: Let's Encrypt or enterprise CA

Recommended Hardware Specifications

Component Minimum Recommended High Load
CPU 2 cores 4 cores 8+ cores
Memory 4 GB 8 GB 16+ GB
Storage 50 GB SSD 100 GB SSD 500+ GB SSD
Network 1 Gbps 10 Gbps 10+ Gbps

Software Dependencies

# Container Runtime
docker >= 20.10.0
containerd >= 1.6.0

# Orchestration (choose one)
kubernetes >= 1.24.0
docker-compose >= 2.0.0

# Database
postgresql >= 15.0
redis >= 7.0

# Monitoring (optional but recommended)
prometheus >= 2.40.0
grafana >= 9.0.0

Production Architecture

High Availability Setup

                           ┌─────────────────┐
                           │  Load Balancer  │
                           │    (HAProxy)    │
                           └─────────────────┘
                                     │
                        ┌─────────────┼─────────────┐
                        │             │             │
                ┌──────────────┐ ┌──────────────┐ ┌──────────────┐
                │   ms-auth    │ │   ms-auth    │ │   ms-auth    │
                │  Instance 1  │ │  Instance 2  │ │  Instance 3  │
                └──────────────┘ └──────────────┘ └──────────────┘
                        │             │             │
                        └─────────────┼─────────────┘
                                     │
                        ┌─────────────┼─────────────┐
                        │             │             │
                ┌──────────────┐ ┌──────────────┐ ┌──────────────┐
                │ PostgreSQL   │ │    Redis     │ │  Firebase    │
                │   Primary    │ │   Cluster    │ │     FCM      │
                │              │ │              │ │   (External) │
                │ ┌──────────┐ │ │ ┌──────────┐ │ │              │
                │ │ Replica  │ │ │ │ Replica  │ │ │              │
                │ └──────────┘ │ │ └──────────┘ │ │              │
                └──────────────┘ └──────────────┘ └──────────────┘

Kubernetes Production Deployment

1. Namespace Setup

# namespace.yaml
apiVersion: v1
kind: Namespace
metadata:
  name: pvpipe-auth
  labels:
    name: pvpipe-auth
    environment: production
---
apiVersion: v1
kind: ResourceQuota
metadata:
  name: pvpipe-auth-quota
  namespace: pvpipe-auth
spec:
  hard:
    requests.cpu: "4"
    requests.memory: 8Gi  
    limits.cpu: "8"
    limits.memory: 16Gi
    persistentvolumeclaims: "10"

2. Secrets Management

# secrets.yaml
apiVersion: v1
kind: Secret
metadata:
  name: ms-auth-secrets
  namespace: pvpipe-auth
type: Opaque
data:
  # Generate with: echo -n "your-secret" | base64
  DATABASE_URL: cG9zdGdyZXM6Ly91c2VyOnBhc3N3b3JkQGRiLWhvc3Q6NTQzMi9wdnBpcGU=
  JWT_SECRET: eW91ci1zdXBlci1zZWN1cmUtand0LXNlY3JldC1rZXktaGVyZQ==
  ENCRYPTION_KEY: eW91ci0zMi1ieXRlLWVuY3J5cHRpb24ta2V5LWhlcmU=
  SMTP_USERNAME: c210cC11c2VybmFtZQ==
  SMTP_PASSWORD: c210cC1wYXNzd29yZA==
---
apiVersion: v1
kind: Secret  
metadata:
  name: firebase-service-account
  namespace: pvpipe-auth
type: Opaque
data:
  firebase-service-account.json: |
    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

3. ConfigMap

# configmap.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: ms-auth-config
  namespace: pvpipe-auth
data:
  # Server Configuration
  PORT: "8080"
  NODE_ENV: "production"
  LOG_LEVEL: "info"
  
  # Database Configuration
  DATABASE_MAX_CONNECTIONS: "50"
  DATABASE_IDLE_TIMEOUT: "300"
  
  # Redis Configuration
  REDIS_HOST: "redis-service"
  REDIS_PORT: "6379"
  REDIS_PREFIX: "ms-auth:"
  
  # SMTP Configuration
  SMTP_HOST: "smtp.gmail.com"
  SMTP_PORT: "587"
  SMTP_FROM: "noreply@pvpipe.com"
  SMTP_TLS: "true"
  
  # Firebase Configuration
  FCM_ENABLED: "true"
  FCM_PROJECT_ID: "pvpipe-production"
  FCM_CREDENTIALS_FILE: "/etc/secrets/firebase-service-account.json"

4. Deployment

# deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: ms-auth
  namespace: pvpipe-auth
  labels:
    app: ms-auth
    version: v1.0.0
spec:
  replicas: 3
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxSurge: 1
      maxUnavailable: 0
  selector:
    matchLabels:
      app: ms-auth
  template:
    metadata:
      labels:
        app: ms-auth
        version: v1.0.0
      annotations:
        prometheus.io/scrape: "true"
        prometheus.io/port: "8080" 
        prometheus.io/path: "/metrics"
    spec:
      serviceAccountName: ms-auth-service-account
      securityContext:
        runAsNonRoot: true
        runAsUser: 1000
        runAsGroup: 1000
        fsGroup: 1000
      containers:
      - name: ms-auth
        image: pvpipe/ms-auth:1.0.0
        imagePullPolicy: IfNotPresent
        ports:
        - containerPort: 8080
          name: http
          protocol: TCP
        envFrom:
        - configMapRef:
            name: ms-auth-config
        - secretRef:
            name: ms-auth-secrets
        resources:
          requests:
            memory: "512Mi"
            cpu: "250m"
          limits:
            memory: "1Gi"
            cpu: "500m"
        livenessProbe:
          httpGet:
            path: /health/live
            port: 8080
          initialDelaySeconds: 30
          periodSeconds: 10
          timeoutSeconds: 5
          failureThreshold: 3
        readinessProbe:
          httpGet:
            path: /health/ready
            port: 8080
          initialDelaySeconds: 5
          periodSeconds: 5
          timeoutSeconds: 3
          successThreshold: 1
          failureThreshold: 3
        volumeMounts:
        - name: firebase-credentials
          mountPath: /etc/secrets
          readOnly: true
        - name: tmp
          mountPath: /tmp
        securityContext:
          allowPrivilegeEscalation: false
          readOnlyRootFilesystem: true
          capabilities:
            drop:
            - ALL
      volumes:
      - name: firebase-credentials
        secret:
          secretName: firebase-service-account
          defaultMode: 0400
      - name: tmp
        emptyDir: {}
      affinity:
        podAntiAffinity:
          preferredDuringSchedulingIgnoredDuringExecution:
          - weight: 100
            podAffinityTerm:
              labelSelector:
                matchExpressions:
                - key: app
                  operator: In
                  values:
                  - ms-auth
              topologyKey: kubernetes.io/hostname

5. Service and Ingress

# service.yaml
apiVersion: v1
kind: Service
metadata:
  name: ms-auth-service
  namespace: pvpipe-auth
  labels:
    app: ms-auth
spec:
  type: ClusterIP
  selector:
    app: ms-auth
  ports:
  - port: 80
    targetPort: 8080
    protocol: TCP
    name: http
---
# ingress.yaml
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: ms-auth-ingress
  namespace: pvpipe-auth
  annotations:
    nginx.ingress.kubernetes.io/ssl-redirect: "true"
    nginx.ingress.kubernetes.io/force-ssl-redirect: "true"
    nginx.ingress.kubernetes.io/rate-limit: "100"
    nginx.ingress.kubernetes.io/rate-limit-window: "1m"
    cert-manager.io/cluster-issuer: "letsencrypt-prod"
spec:
  tls:
  - hosts:
    - auth.pvpipe.com
    secretName: ms-auth-tls
  rules:
  - host: auth.pvpipe.com
    http:
      paths:
      - path: /
        pathType: Prefix
        backend:
          service:
            name: ms-auth-service
            port:
              number: 80

6. RBAC Configuration

# rbac.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
  name: ms-auth-service-account
  namespace: pvpipe-auth
---
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
  name: ms-auth-role
  namespace: pvpipe-auth
rules:
- apiGroups: [""]
  resources: ["configmaps", "secrets"]
  verbs: ["get", "list"]
- apiGroups: [""]
  resources: ["pods"]
  verbs: ["get", "list"]
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: ms-auth-role-binding
  namespace: pvpipe-auth
subjects:
- kind: ServiceAccount
  name: ms-auth-service-account
  namespace: pvpipe-auth
roleRef:
  kind: Role
  name: ms-auth-role
  apiGroup: rbac.authorization.k8s.io

7. Network Policies

# network-policy.yaml
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: ms-auth-network-policy
  namespace: pvpipe-auth
spec:
  podSelector:
    matchLabels:
      app: ms-auth
  policyTypes:
  - Ingress
  - Egress
  ingress:
  - from:
    - namespaceSelector:
        matchLabels:
          name: ingress-nginx
    ports:
    - protocol: TCP
      port: 8080
  - from:
    - namespaceSelector:
        matchLabels:
          name: monitoring
    ports:
    - protocol: TCP
      port: 8080
  egress:
  - to:
    - namespaceSelector:
        matchLabels:
          name: database
    ports:
    - protocol: TCP
      port: 5432
  - to:
    - namespaceSelector:
        matchLabels:
          name: redis
    ports:
    - protocol: TCP
      port: 6379
  - to: []
    ports:
    - protocol: TCP
      port: 443  # HTTPS outbound (Firebase, SMTP)
    - protocol: TCP
      port: 587  # SMTP
  - to: []
    ports:
    - protocol: TCP
      port: 53   # DNS
    - protocol: UDP
      port: 53   # DNS

Database Setup

PostgreSQL High Availability

1. Primary Database Configuration

# postgresql-primary.yaml
apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: postgresql-primary
  namespace: database
spec:
  serviceName: postgresql-primary-service
  replicas: 1
  selector:
    matchLabels:
      app: postgresql-primary
  template:
    metadata:
      labels:
        app: postgresql-primary
    spec:
      containers:
      - name: postgresql
        image: postgres:15-alpine
        env:
        - name: POSTGRES_DB
          value: pvpipe
        - name: POSTGRES_USER
          valueFrom:
            secretKeyRef:
              name: postgresql-secret
              key: username
        - name: POSTGRES_PASSWORD
          valueFrom:
            secretKeyRef:
              name: postgresql-secret
              key: password
        - name: POSTGRES_REPLICATION_USER
          value: replicator
        - name: POSTGRES_REPLICATION_PASSWORD
          valueFrom:
            secretKeyRef:
              name: postgresql-secret
              key: replication-password
        ports:
        - containerPort: 5432
        volumeMounts:
        - name: postgresql-data
          mountPath: /var/lib/postgresql/data
        - name: postgresql-config
          mountPath: /etc/postgresql/postgresql.conf
          subPath: postgresql.conf
        resources:
          requests:
            memory: "2Gi"
            cpu: "500m"
          limits:
            memory: "4Gi"
            cpu: "1000m"
      volumes:
      - name: postgresql-config
        configMap:
          name: postgresql-config
  volumeClaimTemplates:
  - metadata:
      name: postgresql-data
    spec:
      accessModes: ["ReadWriteOnce"]
      storageClassName: fast-ssd
      resources:
        requests:
          storage: 100Gi

2. Database Migration Job

# migration-job.yaml
apiVersion: batch/v1
kind: Job
metadata:
  name: ms-auth-migration
  namespace: pvpipe-auth
spec:
  template:
    spec:
      restartPolicy: OnFailure
      containers:
      - name: migration
        image: pvpipe/ms-auth:1.0.0
        command: ["/app/migrate"]
        envFrom:
        - secretRef:
            name: ms-auth-secrets
        env:
        - name: MIGRATION_PATH
          value: "/app/migrations"
      backoffLimit: 3

Database Backup Strategy

# backup-cronjob.yaml
apiVersion: batch/v1
kind: CronJob
metadata:
  name: postgresql-backup
  namespace: database
spec:
  schedule: "0 2 * * *"  # Daily at 2 AM
  jobTemplate:
    spec:
      template:
        spec:
          containers:
          - name: backup
            image: postgres:15-alpine
            command:
            - /bin/bash
            - -c
            - |
              TIMESTAMP=$(date +%Y%m%d_%H%M%S)
              pg_dump $DATABASE_URL | gzip > /backup/pvpipe_backup_$TIMESTAMP.sql.gz
              # Keep only last 30 backups
              ls -t /backup/pvpipe_backup_*.sql.gz | tail -n +31 | xargs -r rm
            envFrom:
            - secretRef:
                name: ms-auth-secrets
            volumeMounts:
            - name: backup-storage
              mountPath: /backup
          volumes:
          - name: backup-storage
            persistentVolumeClaim:
              claimName: backup-pvc
          restartPolicy: OnFailure

Redis Cluster Setup

Redis Sentinel Configuration

# redis-sentinel.yaml
apiVersion: apps/v1
kind: StatefulSet
metadata:
  name: redis-sentinel
  namespace: redis
spec:
  serviceName: redis-sentinel-service
  replicas: 3
  selector:
    matchLabels:
      app: redis-sentinel
  template:
    metadata:
      labels:
        app: redis-sentinel
    spec:
      containers:
      - name: redis-sentinel
        image: redis:7-alpine
        command:
        - redis-sentinel
        args:
        - /etc/redis/sentinel.conf
        ports:
        - containerPort: 26379
        volumeMounts:
        - name: redis-sentinel-config
          mountPath: /etc/redis/
        resources:
          requests:
            memory: "256Mi"
            cpu: "100m"
          limits:
            memory: "512Mi"
            cpu: "200m"
      volumes:
      - name: redis-sentinel-config
        configMap:
          name: redis-sentinel-config
---
apiVersion: v1
kind: ConfigMap
metadata:
  name: redis-sentinel-config
  namespace: redis
data:
  sentinel.conf: |
    port 26379
    sentinel monitor mymaster redis-master-service 6379 2
    sentinel auth-pass mymaster your-redis-password
    sentinel down-after-milliseconds mymaster 5000
    sentinel parallel-syncs mymaster 1
    sentinel failover-timeout mymaster 10000

Security Hardening

1. Pod Security Standards

# pod-security-policy.yaml
apiVersion: policy/v1beta1
kind: PodSecurityPolicy
metadata:
  name: ms-auth-psp
spec:
  privileged: false
  allowPrivilegeEscalation: false
  requiredDropCapabilities:
    - ALL
  volumes:
    - 'configMap'
    - 'emptyDir'
    - 'projected'
    - 'secret'
    - 'downwardAPI'
    - 'persistentVolumeClaim'
  runAsUser:
    rule: 'MustRunAsNonRoot'
  seLinux:
    rule: 'RunAsAny'
  fsGroup:
    rule: 'RunAsAny'

2. Container Image Security

# Dockerfile.production
FROM golang:1.21-alpine AS builder

# Security: Create non-root user
RUN adduser -D -g '' appuser

WORKDIR /app
COPY go.mod go.sum ./
RUN go mod download && go mod verify

COPY . .
RUN CGO_ENABLED=0 GOOS=linux GOARCH=amd64 go build \
    -ldflags='-w -s -extldflags "-static"' \
    -a -installsuffix cgo \
    -o auth-service cmd/server/main.go

# Production stage
FROM scratch

# Security: Copy CA certificates for HTTPS
COPY --from=builder /etc/ssl/certs/ca-certificates.crt /etc/ssl/certs/

# Security: Copy non-root user
COPY --from=builder /etc/passwd /etc/passwd

# Copy binary
COPY --from=builder /app/auth-service /app/auth-service

# Security: Use non-root user
USER appuser

EXPOSE 8080
ENTRYPOINT ["/app/auth-service"]

3. Secrets Encryption at Rest

# encryption-config.yaml
apiVersion: apiserver.config.k8s.io/v1
kind: EncryptionConfig
resources:
- resources:
  - secrets
  providers:
  - aescbc:
      keys:
      - name: key1
        secret: <base64-encoded-32-byte-key>
  - identity: {}

Monitoring and Observability

1. Prometheus Configuration

# prometheus-config.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: prometheus-config
  namespace: monitoring
data:
  prometheus.yml: |
    global:
      scrape_interval: 15s
      evaluation_interval: 15s
    
    scrape_configs:
    - job_name: 'ms-auth'
      kubernetes_sd_configs:
      - role: pod
        namespaces:
          names:
          - pvpipe-auth
      relabel_configs:
      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_scrape]
        action: keep
        regex: true
      - source_labels: [__meta_kubernetes_pod_annotation_prometheus_io_path]
        action: replace
        target_label: __metrics_path__
        regex: (.+)
      - source_labels: [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port]
        action: replace
        regex: ([^:]+)(?::\d+)?;(\d+)
        replacement: $1:$2
        target_label: __address__

2. Grafana Dashboard

{
  "dashboard": {
    "title": "PVPipe Authentication Service",
    "panels": [
      {
        "title": "Request Rate",
        "type": "graph",
        "targets": [
          {
            "expr": "rate(http_requests_total{job=\"ms-auth\"}[5m])",
            "legendFormat": "{{method}} {{status_code}}"
          }
        ]
      },
      {
        "title": "Authentication Success Rate",
        "type": "stat", 
        "targets": [
          {
            "expr": "rate(auth_attempts_total{result=\"success\"}[5m]) / rate(auth_attempts_total[5m]) * 100",
            "legendFormat": "Success Rate %"
          }
        ]
      },
      {
        "title": "Response Time",
        "type": "graph",
        "targets": [
          {
            "expr": "histogram_quantile(0.95, rate(http_request_duration_seconds_bucket{job=\"ms-auth\"}[5m]))",
            "legendFormat": "95th percentile"
          }
        ]
      }
    ]
  }
}

3. Alerting Rules

# alerting-rules.yaml
apiVersion: v1
kind: ConfigMap
metadata:
  name: alerting-rules
  namespace: monitoring
data:
  ms-auth.yml: |
    groups:
    - name: ms-auth
      rules:
      - alert: HighErrorRate
        expr: rate(http_requests_total{job="ms-auth",status_code=~"5.."}[5m]) > 0.1
        for: 5m
        labels:
          severity: critical
        annotations:
          summary: "High error rate in ms-auth service"
          description: "Error rate is {{ $value }} errors per second"
      
      - alert: HighResponseTime
        expr: histogram_quantile(0.95, rate(http_request_duration_seconds_bucket{job="ms-auth"}[5m])) > 2
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "High response time in ms-auth service"
          description: "95th percentile response time is {{ $value }} seconds"
      
      - alert: AuthenticationFailures
        expr: rate(auth_attempts_total{result="failure"}[5m]) > 5
        for: 2m
        labels:
          severity: warning
        annotations:
          summary: "High authentication failure rate"
          description: "Authentication failure rate is {{ $value }} failures per second"

Performance Optimization

1. Database Performance

-- Production database optimizations
-- postgresql.conf settings

# Connection settings
max_connections = 200
shared_buffers = 2GB
effective_cache_size = 6GB
work_mem = 16MB
maintenance_work_mem = 256MB

# Write performance
wal_buffers = 16MB
checkpoint_completion_target = 0.9
checkpoint_timeout = 10min
max_wal_size = 2GB

# Query performance
random_page_cost = 1.1  # SSD storage
effective_io_concurrency = 200

# Logging
log_min_duration_statement = 1000  # Log slow queries
log_line_prefix = '%t [%p]: [%l-1] user=%u,db=%d,app=%a,client=%h '

2. Application Performance Tuning

# deployment-optimized.yaml
spec:
  template:
    spec:
      containers:
      - name: ms-auth
        env:
        # Database connection pool
        - name: DATABASE_MAX_CONNECTIONS
          value: "50"
        - name: DATABASE_IDLE_TIMEOUT
          value: "300"
        
        # Redis settings
        - name: REDIS_MAX_CONNECTIONS
          value: "100"
        - name: REDIS_IDLE_TIMEOUT
          value: "240"
        
        # Go runtime optimization
        - name: GOMAXPROCS
          value: "2"
        - name: GOGC
          value: "100"
        
        resources:
          requests:
            memory: "512Mi"
            cpu: "250m"
          limits:
            memory: "1Gi"
            cpu: "500m"

3. Horizontal Pod Autoscaler

# hpa.yaml
apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: ms-auth-hpa
  namespace: pvpipe-auth
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: ms-auth
  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
  behavior:
    scaleUp:
      stabilizationWindowSeconds: 60
      policies:
      - type: Percent
        value: 50
        periodSeconds: 60
    scaleDown:
      stabilizationWindowSeconds: 300
      policies:
      - type: Percent
        value: 25
        periodSeconds: 60

Deployment Checklist

Pre-Deployment Checklist

  • Infrastructure Ready

    • Kubernetes cluster operational
    • Database cluster configured with replication
    • Redis cluster operational
    • Load balancer configured
    • SSL certificates obtained

  • Secrets Configured

    • JWT secret generated (256-bit minimum)
    • Database credentials configured
    • Redis credentials configured
    • SMTP credentials configured
    • Firebase service account configured

  • Database Prepared

    • Database created
    • Migrations executed
    • Indexes created
    • Backup strategy implemented

  • Security Hardened

    • Network policies applied
    • Pod security policies configured
    • RBAC rules implemented
    • Container security scanned

Deployment Steps

  1. Deploy Dependencies

    kubectl apply -f namespace.yaml
kubectl apply -f secrets.yaml
kubectl apply -f configmap.yaml
kubectl apply -f rbac.yaml

  2. Deploy Database

    kubectl apply -f postgresql/
kubectl wait --for=condition=ready pod -l app=postgresql-primary --timeout=300s

  3. Run Migrations

    kubectl apply -f migration-job.yaml
kubectl wait --for=condition=complete job/ms-auth-migration --timeout=300s

  4. Deploy Application

    kubectl apply -f deployment.yaml
kubectl apply -f service.yaml
kubectl apply -f ingress.yaml
kubectl apply -f hpa.yaml

  5. Deploy Monitoring

    kubectl apply -f monitoring/

Post-Deployment Verification

  • Service Health

    • All pods running and ready
    • Health checks passing
    • Database connectivity verified
    • Redis connectivity verified

  • API Functionality

    • Authentication endpoints working
    • Device registration working
    • Biometric login working
    • Push notifications working

  • Security Verification

    • HTTPS enforced
    • Rate limiting active
    • Network policies enforced
    • Audit logging functional

  • Monitoring Active

    • Metrics being collected
    • Alerts configured
    • Dashboards accessible
    • Log aggregation working

Rollback Procedure

# In case of deployment issues
kubectl rollout undo deployment/ms-auth -n pvpipe-auth
kubectl rollout status deployment/ms-auth -n pvpipe-auth

# Verify rollback success
kubectl get pods -n pvpipe-auth
kubectl logs -l app=ms-auth -n pvpipe-auth --tail=50

This comprehensive deployment guide ensures a secure, scalable, and production-ready deployment of the PVPipe Biometric Authentication service.