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**This article was last updated on September 12, 2024, to add sections on State Management in Terraform, Using Terraform Modules, Managing Secrets and Sensitive Data, Workspaces for Multi-Environment Management, Security Best Practices, Automating Terraform with CI/CD, Handling Resource Dependencies, and Cost Estimation with Terraform.**
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## Introduction
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Managing infrastructure across multiple environments and regions can be an operational headache for teams as applications scale. Provisioning resources manually is boring and time-consuming while scripting the process requires significant engineering effort.
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Steps we'll cover:
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-[AWS Account and Credentials](#aws-account-and-credentials)
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Run `terraform apply` and Terraform will call out to AWS and create the EC2 instance.
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## State Management in Terraform
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Terraform maintains a **state file** that tracks the infrastructure it manages. To ensure consistency and collaboration across teams, we can recommend storing this state file in a remote backend like **AWS S3**, which prevents conflicts when multiple team members are working on the same infrastructure.
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Example of remote state configuration with S3:
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```hcl
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terraform {
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backend "s3" {
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bucket = "my-terraform-state-bucket"
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key = "terraform.tfstate"
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region = "us-west-2"
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}
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}
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```
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By configuring remote state, team members can access the same state file, avoiding overwrites.
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## Terraform Workspaces for Multi-Environment Management
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A section on **workspaces** will show how users can manage different environments (dev, staging, production) within the same configuration. Workspaces allow Terraform to handle separate states for each environment without duplicating configuration files.
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Example of using workspaces:
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```bash
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terraform workspace new dev
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terraform workspace new prod
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terraform workspace selectdev
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```
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## Security Best Practices
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It’s important to highlight enforcing security best practices using **IAM roles and policies**. We could also introduce **Terraform Sentinel** to enforce security policies during the `plan` and `apply` stages.
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Example of assigning an IAM role to an EC2 instance:
Integrating Terraform into CI/CD pipelines like **GitHub Actions** or **Jenkins** will automate infrastructure deployments. A section could include a GitHub Actions workflow example that automates `terraform plan` and `terraform apply`.
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Example of a GitHub Actions workflow:
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```yaml
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name: Terraform Apply
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on:
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push:
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branches:
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- main
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jobs:
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terraform:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- name: Setup Terraform
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uses: hashicorp/setup-terraform@v1
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- name: Terraform Init
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run: terraform init
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- name: Terraform Plan
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run: terraform plan
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- name: Terraform Apply
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run: terraform apply -auto-approve
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```
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This allows teams to automate infrastructure provisioning and management, ensuring faster, more reliable deployments.
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## Handling Resource Dependencies
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While Terraform automatically manages resource dependencies, users may need to explicitly define dependencies in some cases. A section on using `depends_on` will help clarify resource creation order.
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Example of managing resource dependencies:
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```hcl
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resource "aws_instance""web" {
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ami = "ami-0fc5d935ebf8bc3bc"
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instance_type = "t2.micro"
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}
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resource "aws_elb""web_elb" {
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depends_on = [aws_instance.web]
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instances = [aws_instance.web.id]
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}
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```
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## Modifying Infrastructure
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A key advantage of infrastructure as code is how you can evolve your stack over time through code changes.
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You can recreate your stack easily at any time by running `terraform apply`. Your configuration code serves as the single source of truth.
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## Cost Estimation with Terraform
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Finally, we could include a section on cost estimation using tools like **Infracost**. This helps users estimate the cost of infrastructure before deployment, preventing unexpected AWS bills.
This provides insight into the cost impact of infrastructure decisions.
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## Managing Secrets and Sensitive Data
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Handling secrets like AWS access keys securely is crucial. We can include a section on managing sensitive data using **environment variables** or **AWS Secrets Manager**. This ensures sensitive information isn’t hardcoded in configuration files.
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Example of using environment variables for secrets:
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```bash
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export AWS_ACCESS_KEY_ID=<your_access_key>
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export AWS_SECRET_ACCESS_KEY=<your_secret_key>
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```
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In the Terraform configuration:
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```hcl
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variable "secret_key" {
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type = string
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sensitive = true
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}
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```
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## Using Terraform Modules
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Modules help you **re-use and organize infrastructure code**, which is particularly useful for repetitive tasks like setting up EC2 instances or VPCs. A section on creating and using modules will help users keep their code DRY (Don’t Repeat Yourself).
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Example of using a module for EC2 instances:
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```hcl
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module "ec2_instance" {
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source = "./modules/ec2"
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instance_type = "t2.micro"
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ami = "ami-0fc5d935ebf8bc3bc"
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tags = {
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Name = "refine-dev"
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}
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}
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```
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By reusing modules, users can create standardized components and avoid redundant code.
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## Conclusion
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Through this getting started, hopefully, you now appreciate why contractors, startups, and enterprises alike are adopting IaC practices with Terraform. I touched on several benefits like configuration files serving as the single source of truth.
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