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Cover image for ->> Day-27 Automating AWS Infrastructure Using Terraform & Github Actions
Amit Kushwaha
Amit Kushwaha

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->> Day-27 Automating AWS Infrastructure Using Terraform & Github Actions

#aws #devops #terraform #cicd

In modern cloud environments, manually provisioning infrastructure is inefficient, error-prone, and not scalable.

To solve this, I built a fully automated AWS infrastructure using Terraform integrated with GitHub Actions for CI/CD.

This project provisions a production-style architecture including:

  • Custom VPC
  • Application Load Balancer
  • Auto Scaling Group
  • EC2 instances
  • Remote backend using S3
  • Multi-environment configuration (dev, test, prod)

All infrastructure is defined as code and deployed automatically via GitHub.

No manual console clicks. Just version-controlled automation.

Architecture

Deployment Flow

  1. Developer pushes Terraform code to GitHub
  2. GitHub Actions workflow triggers
  3. Terraform executes:
    • terraform init
    • terraform validate
    • terraform plan
    • Manual approval required
    • terraform apply

AWS infrastructure is provisioned automatically

Tech Stack

  • Terraform (Infrastructure as Code)
  • GitHub Actions (CI/CD automation)
  • AWS (VPC, EC2, ASG, ALB, S3)

- Remote backend with S3 for state management

Project Structure 

.
├── terraform/
│   ├── main.tf
│   ├── vpc.tf
│   ├── security_groups.tf
│   ├── alb.tf
│   ├── asg.tf
│   ├── s3.tf
│   ├── backend.tf
│   ├── dev.tfvars
│   ├── test.tfvars
│   └── prod.tfvars
│
├── .github/workflows/
│   ├── terraform.yaml
│   └── terraform-destroy.yaml
│
├── scripts/
│   └── user_data.sh
│
└── README.md
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Multi Environment Deployment

One of the key design decisions was environment separation.

This project supports:

  • dev
  • test
  • prod

Each environment has its own .tfvars file, allowing controlled configuration changes without modifying core infrastructure code.

Remote State Management

Terraform state is stored in:

  • S3 (remote backend)

This ensures:

  • Centralized state storage
  • Team collaboration support
  • State consistency

This avoids local state conflicts and improves production readiness.

Github Actions Workflow

Two workflows were implemented:

1. Deployment Workflow

  • Triggers on push and performs:
  • Checkout repository
  • Configure AWS credentials via GitHub Secrets
  • Setup Terraform
  • Initialize backend
  • Validate configuration
  • Plan and Apply infrastructure

2. Destroy Workflow

Allows controlled teardown of infrastructure using:

terraform destroy
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This helps prevent unnecessary AWS costs.

Implemented Features

  • Infrastructure as Code using Terraform
  • CI/CD pipeline integration
  • Auto Scaling architecture
  • Application Load Balancer routing
  • EC2 bootstrapping via user_data script
  • Multi-environment deployment

- Remote backend configuration

Conclusion

This project demonstrates how Terraform and GitHub Actions can be combined to build a fully automated, scalable AWS infrastructure.

By eliminating manual provisioning and adopting Infrastructure as Code, we achieve:

  • Consistency
  • Scalability
  • Faster deployments

- Reduced human error

Resources

>> Connect With Me

If you enjoyed this post or want to follow my #30DaysOfAWSTerraformChallenge journey, feel free to connect with me here:

💼 LinkedIn: Amit Kushwaha

🐙 GitHub: Amit Kushwaha

📝 Dev.to / Amit Kushwaha

🐦 Twitter/X: Amit Kushwaha

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