AWS Infrastructure Automation Demo

Comprehensive demonstration of AWS infrastructure automation, secrets management, deployment pipelines, and monitoring patterns using Python and Infrastructure as Code.

🎯 Purpose

This repository showcases enterprise AWS automation patterns including:

• Secrets Management: Secure credential handling with AWS SSM and Secrets Manager
• Infrastructure as Code: CloudFormation and CDK deployment patterns
• Automated Deployments: ECS, Lambda, and serverless deployment automation
• Resource Management: S3, IAM, VPC, and security group automation
• Monitoring & Alerting: CloudWatch integration and automated monitoring setup
• Cost Optimization: Resource tagging, lifecycle policies, and cost tracking

🏗️ Architecture Overview

┌─────────────────────────────────────────────────────────────────┐
│                    AWS Infrastructure Automation                 │
├─────────────────────────────────────────────────────────────────┤
│                                                                 │
│  ┌──────────────┐    ┌──────────────┐    ┌──────────────┐      │
│  │   Secrets    │    │ Infrastructure│    │  Deployment  │      │
│  │  Management  │    │   Templates   │    │  Automation  │      │
│  │              │    │               │    │              │      │
│  │ • SSM Params │    │ • CloudFormation│  │ • ECS Deploy │      │
│  │ • Secrets Mgr│    │ • CDK Stacks  │    │ • Lambda Deploy│    │
│  │ • IAM Roles  │    │ • Terraform   │    │ • S3 Sync    │      │
│  └──────────────┘    └──────────────┘    └──────────────┘      │
│         │                    │                    │             │
│         ▼                    ▼                    ▼             │
│  ┌─────────────────────────────────────────────────────────┐    │
│  │              Monitoring & Alerting                      │    │
│  │                                                         │    │
│  │ • CloudWatch Metrics  • Cost Alerts  • Health Checks  │    │
│  │ • Log Aggregation     • SNS Notifications              │    │
│  └─────────────────────────────────────────────────────────┘    │
└─────────────────────────────────────────────────────────────────┘

🚀 Key Features

Infrastructure Management

• CloudFormation Templates: Production-ready infrastructure definitions
• CDK Constructs: Type-safe infrastructure with Python CDK
• Multi-Environment: Dev, staging, and production environment patterns
• Resource Tagging: Comprehensive tagging strategy for cost allocation

Deployment Automation

• ECS Deployments: Blue-green deployments for containerized applications
• Lambda Functions: Serverless deployment with versioning and aliases
• S3 Static Sites: Automated static site deployment with CloudFront
• Database Migrations: RDS and DynamoDB schema management

Security & Compliance

• IAM Automation: Least-privilege IAM role and policy creation
• Secrets Rotation: Automated secret rotation and lifecycle management
• Security Groups: Dynamic security group rule management
• Compliance Scanning: Automated security and compliance checking

Monitoring & Operations

• Health Monitoring: Application and infrastructure health checks
• Cost Tracking: Automated cost reporting and optimization
• Alerting System: Multi-channel alerting (email, Slack, PagerDuty)
• Log Management: Centralized logging with search and analytics

📁 Project Structure

aws-infrastructure-automation/
├── src/
│   ├── aws_manager.py          # Main AWS resource manager
│   ├── secrets_manager.py      # Secrets and parameter management
│   ├── deployment_manager.py   # Application deployment automation
│   ├── monitoring_manager.py   # CloudWatch and alerting setup
│   └── cost_optimizer.py       # Cost optimization utilities
├── config/
│   ├── environments.py         # Environment configurations
│   ├── aws_config.py          # AWS service configurations
│   └── security_config.py     # Security and compliance settings
├── templates/
│   ├── cloudformation/        # CloudFormation templates
│   │   ├── vpc-template.yaml
│   │   ├── ecs-cluster.yaml
│   │   └── lambda-function.yaml
│   ├── cdk/                   # CDK infrastructure stacks
│   │   ├── networking_stack.py
│   │   ├── compute_stack.py
│   │   └── storage_stack.py
│   └── terraform/             # Terraform configurations (optional)
├── scripts/
│   ├── deploy.py              # Deployment orchestration
│   ├── backup.py              # Backup automation
│   └── cleanup.py             # Resource cleanup utilities
├── monitoring/
│   ├── cloudwatch_setup.py    # CloudWatch dashboard and alarms
│   ├── cost_alerts.py         # Cost monitoring and alerts
│   └── health_checks.py       # Application health monitoring
├── examples/
│   ├── basic_deployment.py    # Simple deployment example
│   ├── full_stack_deploy.py   # Complete application stack
│   └── disaster_recovery.py   # DR and backup examples
└── requirements.txt           # Python dependencies

🛠️ Technology Stack

• AWS SDK: Boto3 for AWS service integration
• Infrastructure as Code: AWS CDK, CloudFormation, Terraform
• Containerization: Docker, ECS Fargate
• Serverless: AWS Lambda, API Gateway
• Storage: S3, RDS, DynamoDB
• Monitoring: CloudWatch, X-Ray, AWS Config
• Security: IAM, Secrets Manager, SSM Parameter Store

🔧 Key Automation Patterns

1. Secure Secrets Management

class SecretsManager:
    async def store_secret(self, secret_name: str, secret_value: str, 
                          description: str = None) -> str:
        """Store secret with automatic rotation setup"""
        
        # Store in AWS Secrets Manager
        secret_arn = await self.secrets_client.create_secret(
            Name=secret_name,
            SecretString=secret_value,
            Description=description,
            KmsKeyId=self.get_kms_key_id()
        )
        
        # Setup automatic rotation if supported
        if self.supports_rotation(secret_name):
            await self.setup_rotation(secret_arn)
        
        # Create SSM parameter reference
        await self.ssm_client.put_parameter(
            Name=f"/app/secrets/{secret_name}",
            Value=secret_arn,
            Type="String",
            Description=f"Reference to {secret_name} in Secrets Manager"
        )
        
        return secret_arn

2. Infrastructure Deployment

class InfrastructureDeployer:
    async def deploy_application_stack(self, app_name: str, environment: str):
        """Deploy complete application infrastructure"""
        
        # Deploy networking layer
        vpc_stack = await self.deploy_cloudformation(
            stack_name=f"{app_name}-vpc-{environment}",
            template_path="templates/cloudformation/vpc-template.yaml",
            parameters={
                "Environment": environment,
                "ApplicationName": app_name
            }
        )
        
        # Deploy compute layer (ECS)
        ecs_stack = await self.deploy_cloudformation(
            stack_name=f"{app_name}-ecs-{environment}",
            template_path="templates/cloudformation/ecs-cluster.yaml",
            parameters={
                "VpcId": vpc_stack.outputs["VpcId"],
                "SubnetIds": vpc_stack.outputs["PrivateSubnetIds"]
            }
        )
        
        # Deploy application
        await self.deploy_application(
            cluster_name=ecs_stack.outputs["ClusterName"],
            app_name=app_name,
            environment=environment
        )

3. Automated Monitoring Setup

class MonitoringManager:
    async def setup_application_monitoring(self, app_name: str):
        """Setup comprehensive monitoring for application"""
        
        # Create CloudWatch dashboard
        dashboard = await self.create_dashboard(
            dashboard_name=f"{app_name}-monitoring",
            widgets=[
                self.create_metric_widget("ECS/ContainerInsights", "CpuUtilization"),
                self.create_metric_widget("ECS/ContainerInsights", "MemoryUtilization"),
                self.create_log_widget(f"/aws/ecs/{app_name}")
            ]
        )
        
        # Setup alarms
        alarms = await self.create_alarms([
            {
                "name": f"{app_name}-high-cpu",
                "metric": "CpuUtilization",
                "threshold": 80,
                "comparison": "GreaterThanThreshold"
            },
            {
                "name": f"{app_name}-high-error-rate", 
                "metric": "ErrorRate",
                "threshold": 5,
                "comparison": "GreaterThanThreshold"
            }
        ])
        
        # Setup SNS notifications
        await self.setup_alerting(alarms, ["admin@company.com"])

4. Cost Optimization

class CostOptimizer:
    async def optimize_resources(self, environment: str):
        """Automated resource optimization based on usage"""
        
        # Analyze ECS service utilization
        underutilized_services = await self.find_underutilized_ecs_services()
        
        for service in underutilized_services:
            # Scale down if consistently low utilization
            if service.avg_cpu_utilization < 10:
                await self.scale_ecs_service(
                    service.name, 
                    desired_count=max(1, service.desired_count // 2)
                )
        
        # Setup S3 lifecycle policies
        await self.setup_s3_lifecycle_policies([
            {
                "bucket": "app-logs-bucket",
                "rules": [
                    {"transition_to_ia": 30},  # days
                    {"transition_to_glacier": 90},
                    {"delete_after": 2555}  # 7 years retention
                ]
            }
        ])
        
        # Identify unused resources
        unused_volumes = await self.find_unused_ebs_volumes()
        unused_snapshots = await self.find_old_snapshots(days=30)
        
        # Generate cost optimization report
        return await self.generate_cost_report()

🚀 Quick Start Examples

Deploy Complete Application Stack

# Deploy to development environment
python scripts/deploy.py --app-name myapp --environment dev

# Deploy to production with custom configuration
python scripts/deploy.py --app-name myapp --environment prod --config prod.yaml

Secrets Management

# Store application secrets
python examples/secrets_management.py --store-secret DATABASE_URL --value "encrypted-connection-string"

# Rotate all application secrets
python examples/secrets_management.py --rotate-secrets --app myapp

Infrastructure Monitoring

# Setup monitoring for application
python monitoring/cloudwatch_setup.py --app myapp

# Generate cost report
python src/cost_optimizer.py --environment prod --generate-report

📊 Monitoring & Alerting

CloudWatch Integration

• Custom Metrics: Application-specific metrics collection
• Log Aggregation: Centralized logging with structured search
• Dashboards: Real-time monitoring dashboards
• Automated Alerts: Threshold-based and anomaly detection alerts

Cost Management

• Budget Alerts: Automated budget threshold notifications
• Resource Tagging: Comprehensive cost allocation tracking
• Usage Analytics: Detailed resource utilization reporting
• Optimization Recommendations: Automated cost-saving suggestions

🔒 Security Best Practices

IAM Management

• Least Privilege: Minimal required permissions
• Role-based Access: Service-specific IAM roles
• Cross-account Access: Secure multi-account patterns
• Regular Auditing: Automated permission review

Secrets & Encryption

• Encryption at Rest: KMS encryption for all sensitive data
• Encryption in Transit: TLS for all communications
• Secret Rotation: Automated credential rotation
• Audit Trails: Complete access logging

🧪 Testing & Validation

Infrastructure Testing

# Validate CloudFormation templates
python scripts/validate_templates.py

# Test deployment in isolated environment
python scripts/test_deployment.py --environment test

# Run security compliance checks
python scripts/security_scan.py --stack-name myapp-prod

Disaster Recovery Testing

# Simulate disaster recovery
python examples/disaster_recovery.py --simulate-failure --recovery-region us-west-2

# Backup verification
python scripts/backup.py --verify-backups --app myapp

📈 Performance Optimization

• Auto Scaling: Dynamic resource scaling based on demand
• Load Balancing: Multi-AZ load distribution
• Caching: ElastiCache integration patterns
• CDN Integration: CloudFront for global content delivery

🔄 CI/CD Integration

GitHub Actions Example

name: Deploy Infrastructure
on:
  push:
    branches: [main]
jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v2
      - name: Deploy to AWS
        run: |
          python scripts/deploy.py --environment prod
        env:
          AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
          AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}

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📝 Note

This is a sanitized demonstration repository. All AWS account IDs, real credentials, and production configurations have been replaced with example values. The focus is on showcasing infrastructure automation patterns, security best practices, and operational excellence principles.