
Infrastructure as Code with Terraform: Getting Started Right
Why Infrastructure as Code
Clicking through the AWS console is fine for learning. It's terrible for production. Manual infrastructure is unreproducible, unauditable, and fragile. One misclik can take down a production database, and there's no undo button.
Infrastructure as Code (IaC) treats your infrastructure like software: version-controlled, peer-reviewed, tested, and reproducible. Terraform is the most widely-adopted tool for this.
1. Project Structure
A well-structured Terraform project pays dividends as complexity grows:
infrastructure/
├── environments/
│ ├── dev/
│ │ ├── main.tf
│ │ ├── variables.tf
│ │ └── terraform.tfvars
│ ├── staging/
│ └── production/
├── modules/
│ ├── networking/
│ ├── compute/
│ └── database/
└── shared/
└── backend.tf
Key principles: separate environments, reusable modules, shared backend configuration for state management.
2. Remote State Management
Never store Terraform state locally. Use a remote backend (S3 + DynamoDB for AWS, GCS for GCP) with state locking to prevent concurrent modifications:
terraform {
backend "s3" {
bucket = "company-terraform-state"
key = "production/vpc/terraform.tfstate"
region = "us-east-1"
dynamodb_table = "terraform-locks"
encrypt = true
}
}
3. Modules for Reusability
Once you've defined a VPC, database, or Kubernetes cluster for one environment, you shouldn't rewrite it for another. Terraform modules let you define infrastructure patterns once and instantiate them with different variables.
Think of modules as functions for infrastructure: clear inputs, predictable outputs, tested independently.
4. Plan Before Apply
terraform plan is not optional. It's your pre-flight checklist. Always review the plan output before applying, especially in production. Integrate plan output into your PR review process so infrastructure changes get the same review rigor as code changes.
5. State Management Discipline
Common state pitfalls to avoid:
- Never modify state files manually
- Use
terraform importfor existing resources, don't recreate them - Enable state versioning on your backend bucket
- Use workspaces or separate state files per environment — never share state
Start Small, Grow Incrementally
Don't try to codify your entire infrastructure in one sprint. Start with a single service (maybe your VPC or a staging database), get the workflow solid, then expand. The goal is a foundation you can build on for years — not a one-time migration.