Infrastructure & Deployment Architecture

7. Infrastructure / Deployment Architecture

This document outlines how the ProgNetwork system is deployed and managed across different environments, including containerization, orchestration, cloud provider setup, and deployment strategies.

Environment Overview

Environment Strategy

Development Environment

Purpose: Local development and testing Access: Developer workstations Resources: Minimal resource allocation

Characteristics:

  • Local Docker Compose setup
  • Hot reload for rapid development
  • Shared development database
  • Mock external services (Stripe, SendGrid)

Staging Environment

Purpose: Pre-production testing and validation Access: CI/CD pipelines and QA team Resources: Production-like configuration

Characteristics:

  • Production-like infrastructure
  • Real external service integrations
  • Automated testing before production
  • Performance and load testing

Production Environment

Purpose: Live customer-facing application Access: Restricted to operations team Resources: Auto-scaling based on demand

Characteristics:

  • High availability and redundancy
  • Disaster recovery capabilities
  • Real-time monitoring and alerting
  • Automated scaling and optimization

Environment-Specific Configurations

Configuration Management Strategy

// Environment-based configuration loading
const config = {
  development: {
    database: { url: 'postgresql://localhost:5432/prog_dev' },
    redis: { url: 'redis://localhost:6379' },
    external: {
      stripe: { publishableKey: 'pk_test_...' },
      sendgrid: { apiKey: 'SG.test_...' },
    },
  },
  staging: {
    database: { url: process.env.DATABASE_URL },
    redis: { url: process.env.REDIS_URL },
    external: {
      stripe: { publishableKey: process.env.STRIPE_PUBLISHABLE_KEY },
      sendgrid: { apiKey: process.env.SENDGRID_API_KEY },
    },
  },
  production: {
    database: { url: process.env.DATABASE_URL },
    redis: { url: process.env.REDIS_URL },
    external: {
      stripe: { publishableKey: process.env.STRIPE_PUBLISHABLE_KEY },
      sendgrid: { apiKey: process.env.SENDGRID_API_KEY },
    },
  },
};

Configuration Benefits:

  • Type-safe configuration management
  • Environment-specific overrides
  • Secrets management integration
  • Validation and runtime checks

Containerization Strategy

Docker Architecture

Multi-Stage Builds

# Build stage
FROM node:20-alpine AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
RUN npm run build

# Production stage
FROM node:20-alpine AS production
WORKDIR /app
COPY --from=builder /app/package*.json ./
COPY --from=builder /app/dist ./dist
RUN npm ci --only=production

# Runtime configuration
ENV NODE_ENV=production
ENV PORT=3000
EXPOSE 3000
CMD ["npm", "start"]

Build Optimization:

  • Multi-stage builds for smaller images
  • Dependency optimization and caching
  • Security scanning in CI/CD
  • Base image vulnerability management

Service-Specific Dockerfiles

API Gateway Service
FROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build

# Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
  CMD curl -f http://localhost:8000/health || exit 1

EXPOSE 8000
CMD ["npm", "run", "start:api-gateway"]
Event Streaming Service
FROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY . .
RUN npm run build

# Health check
HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
  CMD curl -f https://http-event-bridge.service.dev.prog.network/health || exit 1

EXPOSE 8001
CMD ["npm", "run", "start:event-streaming"]

Health Check Strategy:

  • Service-specific health endpoints
  • Dependency health verification
  • Graceful shutdown handling
  • Kubernetes readiness probes

Kubernetes Deployment Architecture

Cluster Architecture

Namespace Organization

apiVersion: v1
kind: Namespace
metadata:
  name: prog-production
  labels:
    environment: production
    team: platform

Namespaces:

  • prog-production
    : Production workloads
  • prog-staging
    : Staging environment
  • monitoring
    : Observability stack
  • ingress-nginx
    : Ingress controllers

Node Pool Strategy

  • Application Nodes: General-purpose workloads
  • Memory-Optimized: Database and cache workloads
  • CPU-Optimized: Compute-intensive services
  • Spot Instances: Non-critical batch jobs

Service Deployment Patterns

Deployment Configuration

apiVersion: apps/v1
kind: Deployment
metadata:
  name: user-service
  namespace: prog-production
spec:
  replicas: 3
  selector:
    matchLabels:
      app: user-service
  template:
    metadata:
      labels:
        app: user-service
    spec:
      containers:
      - name: user-service
        image: prog-user-service:latest
        ports:
        - containerPort: 3007
        env:
        - name: NODE_ENV
          value: "production"
        - name: DATABASE_URL
          valueFrom:
            secretKeyRef:
              name: database-secrets
              key: url
        livenessProbe:
          httpGet:
            path: /health
            port: 3007
          initialDelaySeconds: 30
          periodSeconds: 10
        readinessProbe:
          httpGet:
            path: /readiness
            port: 3007
          initialDelaySeconds: 5
          periodSeconds: 5

Deployment Features:

  • Horizontal Pod Autoscaling (HPA)
  • Rolling updates with zero downtime
  • ConfigMap for configuration management
  • Secret management for sensitive data

Service Discovery

apiVersion: v1
kind: Service
metadata:
  name: user-service
  namespace: prog-production
spec:
  selector:
    app: user-service
  ports:
  - name: http
    port: 80
    targetPort: 3007
  type: ClusterIP

Service Types:

  • ClusterIP for internal communication
  • LoadBalancer for external traffic
  • Headless for stateful services

Ingress and Load Balancing

Ingress Configuration

apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  name: prog-ingress
  namespace: prog-production
  annotations:
    kubernetes.io/ingress.class: "nginx"
    nginx.ingress.kubernetes.io/rewrite-target: /$2
    nginx.ingress.kubernetes.io/ssl-redirect: "true"
    cert-manager.io/cluster-issuer: "letsencrypt-prod"
spec:
  tls:
  - hosts:
    - api.prognetwork.com
    - app.prognetwork.com
    secretName: prog-tls
  rules:
  - host: api.prognetwork.com
    http:
      paths:
      - path: /api/(.*)
        pathType: Prefix
        backend:
          service:
            name: api-gateway
            port:
              number: 80
  - host: app.prognetwork.com
    http:
      paths:
      - path: /(.*)
        pathType: Prefix
        backend:
          service:
            name: admin-client
            port:
              number: 80

Ingress Benefits:

  • SSL/TLS termination at edge
  • Path-based routing to services
  • Rate limiting and DDoS protection
  • Global traffic management

Cloud Provider Setup

AWS Infrastructure (Primary)

VPC Architecture

Resources:
  VPC:
    Type: AWS::EC2::VPC
    Properties:
      CidrBlock: 10.0.0.0/16
      EnableDnsSupport: true
      EnableDnsHostnames: true

  PublicSubnet:
    Type: AWS::EC2::Subnet
    Properties:
      VpcId: !Ref VPC
      CidrBlock: 10.0.1.0/24
      AvailabilityZone: us-east-1a

  PrivateSubnet:
    Type: AWS::EC2::Subnet
    Properties:
      VpcId: !Ref VPC
      CidrBlock: 10.0.2.0/24
      AvailabilityZone: us-east-1a

Network Architecture:

  • Public subnets for load balancers and bastion hosts
  • Private subnets for application and database tiers
  • NAT gateways for outbound internet access
  • Security groups for traffic control

RDS PostgreSQL Configuration

Resources:
  Database:
    Type: AWS::RDS::DBInstance
    Properties:
      DBInstanceClass: db.t3.medium
      Engine: postgres
      EngineVersion: "15.3"
      AllocatedStorage: "100"
      StorageEncrypted: true
      MultiAZ: true
      DBSubnetGroupName: !Ref DatabaseSubnetGroup
      VPCSecurityGroups:
      - !Ref DatabaseSecurityGroup

Database Features:

  • Multi-AZ for high availability
  • Encrypted storage at rest
  • Automated backup windows
  • Read replica support for scaling

ElastiCache Redis Cluster

Resources:
  RedisCluster:
    Type: AWS::ElastiCache::ReplicationGroup
    Properties:
      ReplicationGroupId: prog-redis-cluster
      ReplicationGroupDescription: Redis cluster for ProgNetwork
      NumCacheClusters: 3
      Engine: redis
      EngineVersion: "7.0"
      CacheNodeType: cache.t3.medium
      MultiAZEnabled: true

Redis Features:

  • Multi-AZ replication for durability
  • Automatic failover capabilities
  • Cluster mode for horizontal scaling
  • Encryption in transit and at rest

Secrets Management

AWS Secrets Manager Integration

// Secrets retrieval and caching
class SecretsManager {
  private cache = new Map<string, any>();

  async getSecret(secretName: string): Promise<any> {
    if (this.cache.has(secretName)) {
      return this.cache.get(secretName);
    }

    const client = new SecretsManagerClient({});
    const response = await client.getSecretValue({
      SecretId: secretName,
    });

    const secret = JSON.parse(response.SecretString || '{}');
    this.cache.set(secretName, secret);

    return secret;
  }
}

Secrets Strategy:

  • AWS Secrets Manager for secure storage
  • Automatic secret rotation
  • Least privilege access patterns
  • Audit logging for secret access

Deployment Strategy

CI/CD Pipeline Architecture

GitHub Actions Workflow

name: Deploy to Production
on:
  push:
    branches: [main]

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v3
    - uses: actions/setup-node@v3
      with:
        node-version: '20'
        cache: 'npm'
    - run: npm ci
    - run: npm run test
    - run: npm run build

  deploy:
    needs: test
    runs-on: ubuntu-latest
    environment: production
    steps:
    - uses: actions/checkout@v3
    - uses: aws-actions/configure-aws-credentials@v2
      with:
        aws-region: us-east-1
    - run: npm run deploy:production

Pipeline Stages:

  1. Code Quality: Linting, type checking, security scanning
  2. Testing: Unit tests, integration tests, E2E tests
  3. Building: Docker image creation and optimization
  4. Deployment: Rolling updates with health checks
  5. Verification: Post-deployment testing and monitoring

Blue-Green Deployment Strategy

Implementation Approach

# Blue environment (current production)
apiVersion: apps/v1
kind: Deployment
metadata:
  name: user-service-blue
  namespace: prog-production
spec:
  replicas: 3
  selector:
    matchLabels:
      app: user-service
      version: blue

# Green environment (new version)
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: user-service-green
  namespace: prog-production
spec:
  replicas: 1
  selector:
    matchLabels:
      app: user-service
      version: green

Deployment Process:

  1. Deploy green environment with new version
  2. Run integration tests on green environment
  3. Gradually shift traffic from blue to green
  4. Monitor error rates and performance
  5. Complete rollout or rollback if issues detected

Rolling Update Strategy

Zero-Downtime Updates

apiVersion: apps/v1
kind: Deployment
metadata:
  name: user-service
spec:
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxUnavailable: 1
      maxSurge: 1
  replicas: 5

Update Process:

  • Gradual pod replacement (max 1 unavailable)
  • New pods created before old ones terminated
  • Health checks ensure new pods are ready
  • Automatic rollback on health check failures

Monitoring and Alerting Infrastructure

Prometheus and Grafana Stack

Prometheus Configuration

global:
  scrape_interval: 15s
  evaluation_interval: 15s

scrape_configs:
- job_name: 'user-service'
  static_configs:
  - targets: ['user-service:3007']
  metrics_path: '/metrics'
  scrape_interval: 15s

- job_name: 'api-gateway'
  static_configs:
  - targets: ['api-gateway:8000']
  metrics_path: '/metrics'
  scrape_interval: 15s

Metrics Collection:

  • Service-specific business metrics
  • System resource utilization
  • Custom application metrics
  • External service integration metrics

Grafana Dashboard Configuration

{
  "dashboard": {
    "title": "ProgNetwork Service Health",
    "panels": [
      {
        "title": "Service Response Times",
        "type": "graph",
        "targets": [
          {
            "expr": "histogram_quantile(0.95, rate(http_request_duration_seconds_bucket[5m]))",
            "legendFormat": "{{service}} p95"
          }
        ]
      }
    ]
  }
}

Dashboard Features:

  • Service health overview
  • Performance metrics and trends
  • Error rate monitoring
  • Resource utilization charts

Alerting Rules

Critical Alerts

groups:
- name: critical_alerts
  rules:
  - alert: ServiceDown
    expr: up{job=~"user-service|api-gateway"} == 0
    for: 2m
    labels:
      severity: critical
    annotations:
      summary: "Service {{ $labels.job }} is down"
      description: "{{ $labels.job }} has been down for more than 2 minutes."

  - alert: HighErrorRate
    expr: rate(errors_total[5m]) / rate(requests_total[5m]) > 0.05
    for: 5m
    labels:
      severity: critical
    annotations:
      summary: "High error rate detected"
      description: "Error rate is {{ $value }} for {{ $labels.service }}"

Alert Routing:

  • Email notifications for critical issues
  • Slack integration for team alerts
  • PagerDuty for on-call escalation
  • JIRA ticket creation for tracking

Backup and Disaster Recovery

Database Backup Strategy

PostgreSQL Backups

apiVersion: batch/v1
kind: CronJob
metadata:
  name: database-backup
spec:
  schedule: "0 2 * * *"
  jobTemplate:
    spec:
      template:
        spec:
          containers:
          - name: postgres-backup
            image: postgres:15
            command:
            - /bin/bash
            - -c
            - |
              pg_dump -h $DB_HOST -U $DB_USER $DB_NAME > /backup/backup.sql
              aws s3 cp /backup/backup.sql s3://prog-backups/$(date +%Y-%m-%d).sql

Backup Strategy:

  • Daily full database backups
  • Point-in-time recovery capability
  • Cross-region backup replication
  • Automated backup verification

Disaster Recovery Plan

Recovery Time Objectives (RTO)

  • Critical Services: < 15 minutes
  • Important Services: < 1 hour
  • Standard Services: < 4 hours

Recovery Point Objectives (RPO)

  • Critical Data: < 5 minutes
  • Important Data: < 1 hour
  • Standard Data: < 24 hours

DR Strategies:

  • Multi-region deployment for critical services
  • Automated failover procedures
  • Regular disaster recovery testing
  • Data replication across regions

Cost Optimization

Auto-Scaling Configuration

Horizontal Pod Autoscaler

apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: user-service-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: user-service
  minReplicas: 2
  maxReplicas: 10
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 70
  - type: Resource
    resource:
      name: memory
      target:
        type: Utilization
        averageUtilization: 80

Scaling Policies:

  • CPU-based scaling for compute-intensive workloads
  • Memory-based scaling for cache-heavy services
  • Custom metrics for business-specific scaling
  • Cooldown periods to prevent thrashing

Spot Instance Strategy

Spot Instance Configuration

apiVersion: apps/v1
kind: Deployment
metadata:
  name: batch-jobs
spec:
  template:
    spec:
      nodeSelector:
        node-type: spot
      tolerations:
      - key: spot-instance
        operator: Equal
        value: "true"
        effect: NoSchedule

Cost Optimization:

  • Use spot instances for fault-tolerant workloads
  • Implement checkpointing for job recovery
  • Graceful degradation during spot termination
  • Mixed instance types for cost efficiency

Security Infrastructure

Network Security

Security Groups

Resources:
  ApplicationSecurityGroup:
    Type: AWS::EC2::SecurityGroup
    Properties:
      GroupDescription: Application tier security group
      VpcId: !Ref VPC
      SecurityGroupIngress:
      - IpProtocol: tcp
        FromPort: 3000
        ToPort: 3007
        SourceSecurityGroupId: !Ref LoadBalancerSecurityGroup

Security Measures:

  • Least privilege access patterns
  • Port-specific security group rules
  • Regular security group audits
  • Integration with AWS WAF for web protection

Compliance and Audit Logging

CloudTrail Configuration

Resources:
  CloudTrail:
    Type: AWS::CloudTrail::Trail
    Properties:
      Name: prog-cloudtrail
      S3BucketName: !Ref CloudTrailBucket
      IncludeGlobalServiceEvents: true
      IsMultiRegionTrail: true
      EnableLogFileValidation: true

Audit Features:

  • All API calls logged and monitored
  • Data access pattern analysis
  • Compliance reporting automation
  • Security event correlation

Performance Monitoring

Application Performance Monitoring (APM)

Distributed Tracing Setup

# OpenTelemetry Collector configuration
receivers:
  otlp:
    protocols:
      grpc:
        endpoint: 0.0.0.0:4317
      http:
        endpoint: 0.0.0.0:4318

processors:
  batch:

exporters:
  jaeger:
    endpoint: "jaeger-collector:14250"
  prometheus:
    endpoint: "prometheus:9090"

service:
  pipelines:
    traces:
      receivers: [otlp]
      processors: [batch]
      exporters: [jaeger, prometheus]

APM Benefits:

  • End-to-end request tracing
  • Performance bottleneck identification
  • Service dependency mapping
  • User experience monitoring

This comprehensive infrastructure and deployment architecture ensures reliable, scalable, and secure operation of the ProgNetwork platform across all environments.