Cloud Architect

Terraform Your Entire AWS Infrastructure β€” From Zero to Production

20min IaC setup vs 4-8hr console clickingDevOps & Cloud4 min read

Key Takeaway

The Terraform skill generates complete Infrastructure as Code configurations β€” VPC, subnets, security groups, ECS/EKS clusters, RDS, S3, CloudFront, IAM β€” from a plain-text architecture description. Stop clicking through the AWS console. Declare your infrastructure and let Terraform build it.

The Problem

You need to set up production infrastructure on AWS. The console approach:

  1. Create VPC. Configure CIDR blocks.
  2. Create subnets (public, private, at least 2 AZs).
  3. Create internet gateway. Attach to VPC.
  4. Create NAT gateway (one per AZ for HA). Elastic IPs.
  5. Route tables. Associate subnets.
  6. Security groups. Inbound/outbound rules.
  7. RDS instance. Subnet group. Parameter group.
  8. ECS cluster. Task definitions. Services. Load balancer.
  9. S3 buckets. Policies. CORS.
  10. CloudFront distribution.
  11. IAM roles. Policies. Instance profiles.
  12. SSL certificates via ACM.

That's 50+ clicks, 20+ resources, and zero reproducibility. Tear it down and rebuild? Do it all again. Second environment? Again. Disaster recovery? Hope you documented every click.

The Solution

The Terraform skill generates complete IaC configurations from architecture descriptions. Every resource, every dependency, every security configuration β€” version-controlled, reproducible, and reviewable.

The Process

View details
You: Create Terraform for a production web app on AWS:
- VPC with public/private subnets across 2 AZs
- ECS Fargate cluster running a containerized API
- RDS PostgreSQL (multi-AZ)
- S3 for static assets + CloudFront CDN
- ALB with SSL termination
- All security best practices

The agent generates a modular Terraform configuration:

hclShow code
# === main.tf ===
terraform {
  required_version = ">= 1.5"
  required_providers {
    aws = { source = "hashicorp/aws", version = "~> 5.0" }
  }
  backend "s3" {
    bucket         = "myapp-terraform-state"
    key            = "prod/terraform.tfstate"
    region         = "eu-west-1"
    dynamodb_table = "terraform-locks"
    encrypt        = true
  }
}

provider "aws" {
  region = var.aws_region
  default_tags {
    tags = {
      Environment = var.environment
      ManagedBy   = "terraform"
      Project     = var.project_name
    }
  }
}

# === networking.tf ===
module "vpc" {
  source  = "terraform-aws-modules/vpc/aws"
  version = "~> 5.0"

  name = "${var.project_name}-${var.environment}"
  cidr = "10.0.0.0/16"

  azs             = ["${var.aws_region}a", "${var.aws_region}b"]
  public_subnets  = ["10.0.1.0/24", "10.0.2.0/24"]
  private_subnets = ["10.0.10.0/24", "10.0.11.0/24"]

  enable_nat_gateway     = true
  single_nat_gateway     = false  # HA: one per AZ
  enable_dns_hostnames   = true
  enable_dns_support     = true

  public_subnet_tags = {
    "kubernetes.io/role/elb" = 1
  }
  private_subnet_tags = {
    "kubernetes.io/role/internal-elb" = 1
  }
}

# === ecs.tf ===
resource "aws_ecs_cluster" "main" {
  name = "${var.project_name}-${var.environment}"

  setting {
    name  = "containerInsights"
    value = "enabled"
  }
}

resource "aws_ecs_task_definition" "api" {
  family                   = "${var.project_name}-api"
  requires_compatibilities = ["FARGATE"]
  network_mode             = "awsvpc"
  cpu                      = 512
  memory                   = 1024
  execution_role_arn       = aws_iam_role.ecs_execution.arn
  task_role_arn            = aws_iam_role.ecs_task.arn

  container_definitions = jsonencode([{
    name  = "api"
    image = "${aws_ecr_repository.api.repository_url}:latest"
    portMappings = [{ containerPort = 3000 }]
    environment = [
      { name = "NODE_ENV", value = "production" },
      { name = "PORT", value = "3000" }
    ]
    secrets = [
      { name = "DATABASE_URL", valueFrom = aws_ssm_parameter.db_url.arn }
    ]
    logConfiguration = {
      logDriver = "awslogs"
      options = {
        "awslogs-group"         = aws_cloudwatch_log_group.api.name
        "awslogs-region"        = var.aws_region
        "awslogs-stream-prefix" = "api"
      }
    }
    healthCheck = {
      command     = ["CMD-SHELL", "wget -qO- http://localhost:3000/health || exit 1"]
      interval    = 30
      timeout     = 5
      retries     = 3
      startPeriod = 60
    }
  }])
}

# ... (ALB, RDS, S3, CloudFront, IAM β€” all included)

The agent produces 8-10 files: main.tf, networking.tf, ecs.tf, rds.tf, s3.tf, cloudfront.tf, iam.tf, variables.tf, outputs.tf. Each resource properly linked with dependencies, security groups, and IAM policies.

The Results

MetricAWS ConsoleTerraform via AI Agent
Setup time4-8 hours20 minutes
ReproducibilityZero (manual)100% (IaC)
Second environment4-8 hours againterraform workspace new staging
Disaster recoveryHope and prayerterraform apply
Security reviewAudit console settingsReview code in PR
Cost visibilityAfter the billinfracost before apply

Setup on MrChief

yamlShow code
skills:
  - terraform
  - aws
terraformawsinfrastructure-as-codeecsvpccloud

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Terraform Your Entire AWS Infrastructure β€” From Zero to Production β€” Mr.Chief