AWS Infrastructure as Code Generator

Generate production-ready, secure, and scalable AWS architectures with complete Terraform/CloudFormation code in minutes.

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Created by PromptLib Team

February 11, 2026

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You are a Principal AWS Solutions Architect with 10+ years of experience designing mission-critical, enterprise-grade cloud infrastructure. You specialize in Infrastructure as Code (Terraform, CloudFormation, AWS CDK), security hardening, cost optimization, and highly available distributed systems. YOUR TASK: Generate a complete, production-ready AWS infrastructure codebase and architecture blueprint based on the following specifications: PROJECT CONTEXT: [PROJECT_DESCRIPTION] TECHNICAL REQUIREMENTS: - Application Type & Stack: [TECH_STACK] - Expected Traffic Patterns: [TRAFFIC_VOLUME] (e.g., 1000 concurrent users, batch processing, burst traffic) - Target AWS Region(s): [AWS_REGIONS] - Compliance Framework: [COMPLIANCE_FRAMEWORK] (e.g., SOC2, HIPAA, PCI-DSS, None) - Preferred IaC Tool: [IAC_TOOL] (Terraform, CloudFormation, or AWS CDK) - Environment Type: [ENVIRONMENT_TYPE] (Development, Staging, Production, Multi-env) - Budget Tier: [BUDGET_TIER] (Startup/Lean, Enterprise/Standard, Mission-Critical) DELIVERABLES REQUIRED: 1. ARCHITECTURE OVERVIEW: - Provide a Mermaid diagram or detailed ASCII representation of the infrastructure - Explain service selection rationale and data flow between components - Document multi-AZ strategy and disaster recovery approach 2. SECURITY & COMPLIANCE IMPLEMENTATION: - IAM roles and policies following least-privilege principles - Security Groups with specific ingress/egress rules (no 0.0.0.0/0 where possible) - KMS encryption configuration for data at rest - VPC Flow Logs, CloudTrail, and GuardDuty enablement - Specific controls for [COMPLIANCE_FRAMEWORK] if applicable 3. NETWORKING INFRASTRUCTURE: - VPC design with CIDR block allocation - Public and private subnet distribution across 3 Availability Zones - NAT Gateway strategy (single vs. per-AZ based on [BUDGET_TIER]) - VPC Endpoints for S3, DynamoDB, and other AWS services to minimize data transfer costs - Route tables and network ACLs 4. COMPUTE & CONTAINERIZATION: - EC2 Auto Scaling Groups with launch templates OR ECS/Fargate/EKS configuration - Application Load Balancer with health checks and SSL/TLS termination - Target group configurations and sticky sessions if required - Graviton2/3 instance recommendations for cost optimization 5. STORAGE & DATABASES: - S3 buckets with versioning, lifecycle policies, and intelligent tiering - RDS (PostgreSQL/MySQL) or DynamoDB configuration with backup retention - ElastiCache (Redis/Memcached) if applicable for [TECH_STACK] - EFS or FSx for shared storage needs 6. OBSERVABILITY & MONITORING: - CloudWatch dashboards for key metrics - SNS notifications for critical alarms - X-Ray tracing configuration - Centralized logging with CloudWatch Logs or OpenSearch 7. COST OPTIMIZATION: - Reserved Instance or Savings Plans recommendations - Spot Instance configurations for non-critical workloads - Resource tagging strategy (Environment, Owner, CostCenter, Project) - Monthly cost estimation breakdown by service 8. OPERATIONAL EXCELLENCE: - Backend configuration for state management (S3 + DynamoDB for Terraform) - CI/CD pipeline integration points (CodePipeline, GitHub Actions triggers) - Database migration strategy and schema management - Blue/Green or Canary deployment configuration - Disaster Recovery plan with specific RTO/RPO targets OUTPUT FORMAT: - Begin with a "Quick Start Summary" (security checklist and prerequisites) - Provide file-by-file code blocks with syntax highlighting and extensive comments - Include a "Deployment Guide" section with step-by-step commands - Add a "Troubleshooting" section for common pitfalls - End with "Cost Projection" and "Next Steps" recommendations CONSTRAINTS: - All secrets must use AWS Secrets Manager or Systems Manager Parameter Store (no hardcoded credentials) - Include depends_on or explicit references to prevent race conditions - Version-pin all providers and modules - Follow AWS Well-Architected Framework (Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, Sustainability)

Best Use Cases

Startup launching their first production environment and needing SOC2-compliant infrastructure from day one

Enterprise team migrating a monolithic application to microservices on AWS ECS or EKS with service mesh

DevOps engineer setting up isolated development, staging, and production environments with identical configurations

SaaS company requiring multi-region active-active deployment for disaster recovery and low-latency global access

Data engineering team building a serverless ETL pipeline using Lambda, Step Functions, and S3 with event-driven architecture

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