terraform

name	terraform
description	Terraform modules, state management, workspaces, provider config, plan/apply workflow, remote backends

Terraform Skill

When to activate

• Writing Terraform modules for AWS, GCP, or Azure infrastructure
• Defining VPCs, subnets, security groups, and networking resources
• Provisioning compute resources (EC2, GKE, AKS, ECS, Lambda)
• Managing database infrastructure (RDS, Cloud SQL, Aurora)
• Setting up IAM roles, policies, and service accounts
• Writing remote state configuration (S3 backend, GCS, Terraform Cloud)
• Refactoring existing Terraform to use modules
• Writing CI/CD pipelines for terraform plan and terraform apply
• Importing existing infrastructure into Terraform state

When NOT to use

• Pulumi, CDK, or Crossplane — different IaC tools, different patterns
• Helm chart configuration (use the Kubernetes skill instead)
• Application-level config (Kubernetes ConfigMaps, app env vars)
• One-off CLI operations that won't be repeated

Instructions

Module structure

Every Terraform project must follow this structure:

infrastructure/
├── modules/
│   ├── networking/
│   │   ├── main.tf
│   │   ├── variables.tf
│   │   ├── outputs.tf
│   │   └── versions.tf
│   └── compute/
│       ├── main.tf
│       ├── variables.tf
│       └── outputs.tf
├── environments/
│   ├── production/
│   │   ├── main.tf          ← calls modules
│   │   ├── variables.tf
│   │   ├── terraform.tfvars
│   │   └── backend.tf
│   └── staging/
│       └── ...
└── versions.tf              ← root provider versions

State management — always remote

# backend.tf
terraform {
  backend "s3" {
    bucket         = "company-terraform-state"
    key            = "production/networking/terraform.tfstate"
    region         = "eu-west-1"
    encrypt        = true
    dynamodb_table = "terraform-state-lock"
  }
}

• Never use local state for anything shared
• Enable encryption and state locking (DynamoDB for S3 backend)
• Separate state files per environment and per module (not one giant state)

Variable and output discipline

# variables.tf — always include description and type
variable "environment" {
  description = "Deployment environment (production, staging, development)"
  type        = string
  validation {
    condition     = contains(["production", "staging", "development"], var.environment)
    error_message = "Environment must be production, staging, or development."
  }
}

# outputs.tf — output everything a consuming module might need
output "vpc_id" {
  description = "The ID of the VPC"
  value       = aws_vpc.main.id
}

Secrets — never in state or code

• Never put secrets in terraform.tfvars or hardcode them in .tf files
• Use data "aws_secretsmanager_secret_version" or data "google_secret_manager_secret_version" to read secrets at apply time
• Sensitive outputs: mark with sensitive = true to suppress in plan output
• .gitignore must include: *.tfvars, *.tfstate, *.tfstate.backup, .terraform/

Resource naming conventions

# Consistent naming: {project}-{environment}-{resource}-{suffix}
resource "aws_vpc" "main" {
  cidr_block = var.vpc_cidr
  tags = {
    Name        = "${var.project}-${var.environment}-vpc"
    Environment = var.environment
    ManagedBy   = "terraform"
  }
}

Always tag every resource with Environment and ManagedBy = "terraform".

Plan before apply — always

• CI/CD pipeline: terraform plan -out=tfplan on PR, terraform apply tfplan on merge
• Never run terraform apply without a saved plan in production
• Use -target sparingly — it creates drift between real state and plan

Common pitfalls

• terraform destroy with no -target destroys everything — always confirm scope
• Changing a resource attribute that forces replacement (e.g., VPC CIDR) deletes and recreates — check plan carefully
• Provider version pinning is mandatory: use ~> 5.0 not >= 5.0
• count vs for_each: use for_each with maps — count causes index drift when items are removed

Example

User: Create a Terraform module for a private RDS PostgreSQL instance on AWS with Multi-AZ, encrypted storage, and a dedicated security group.

Expected output structure:

• modules/rds/main.tf — aws_db_instance, aws_db_subnet_group, aws_security_group
• modules/rds/variables.tf — instance class, engine version, db name, VPC/subnet IDs, ingress CIDR
• modules/rds/outputs.tf — endpoint, port, security group ID
• Security group: allows PostgreSQL (5432) only from app security group, no public access
• storage_encrypted = true, multi_az = true, deletion_protection = true for production
• Password via aws_secretsmanager_secret reference, never hardcoded

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