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Terraform Variables and Outputs: Making Your Infrastructure Configurable
Learn how to make your Terraform code dynamic and reusable using input variables and outputs the essential tools for clean, scalable configurations.

👋 Hey there, I’m Dheeraj Choudhary an AI/ML educator, cloud enthusiast, and content creator on a mission to simplify tech for the world.
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What Are Variables in Terraform?

Variables let you parameterize your configuration.
Instead of this:
region = "us-east-1"
You do this:
region = var.aws_region
And define the variable separately:
variable "aws_region" {
type = string
default = "us-east-1"
}
Now you can override it in different ways — CLI, terraform.tfvars
, or environment variables — making your config reusable, clean, and scalable.
Types of Variables

Terraform supports several types:
Type | Example |
---|---|
string |
|
number |
|
bool |
|
list |
|
map |
|
You can also use object
, tuple
, and any
for advanced use cases.
🧪 Example: Defining a map
variable "ami_map" {
type = map(string)
default = {
us-east-1 = "ami-123"
us-west-2 = "ami-456"
}
}
And using it:
ami = var.ami_map["us-east-1"]
How to Use .tfvars
Files
Create a file called terraform.tfvars
:
aws_region = "us-west-2"
instance_type = "t2.small"
Terraform will automatically load this file when you run terraform plan
or apply
.
You can also pass it explicitly:
terraform apply -var-file="dev.tfvars"
This is especially useful when working with multiple environments (dev, staging, prod).
What Are Outputs in Terraform?
Terraform outputs expose values from your configuration.
You can use them to:
Display results (like IPs or IDs) after
apply
Pass values between modules
Reference outputs in scripts or CI/CD tools
Here’s a basic example:
output "instance_ip" {
value = aws_instance.web.public_ip
}
After terraform apply
, Terraform will print the IP of the instance — very useful in pipelines or dashboards.
Hands-On Example: Dynamic Config with Variables and Outputs

Let’s put this all together.
Step 1: variables.tf
variable "aws_region" {
type = string
default = "us-east-1"
}
variable "instance_type" {
type = string
default = "t2.micro"
}
Step 2: main.tf
hcprovider "aws" {
region = var.aws_region
}
resource "aws_instance" "web" {
ami = "ami-0c55b159cbfafe1f0"
instance_type = var.instance_type
}l
Step 3: outputs.tf
output "instance_id" {
value = aws_instance.web.id
}
Step 4: Run It
terraform init
terraform plan
terraform apply
You’ll see the instance_id
printed on screen — dynamic, readable, and reusable infra code.
Common Pitfalls / Pro Tips
✅ Use terraform.tfvars
for defaults, and override with env-specific files
✅ Validate variables using validation
blocks (e.g., enforce naming rules)
✅ Use output
values in scripts and CI/CD pipelines
❌ Don’t hardcode region, AMI, or environment-specific values
💡 Tip of the Day:
Write config like code, not like a checklist.
Treat variables and outputs like function parameters and return values — it’ll help you think modularly and build smarter Terraform modules.
📚 Resources & References
1️⃣ Terraform Input Variables
🔗 Docs
Complete guide to declaring and using variables.
2️⃣ Terraform Output Values
🔗 Docs
How to expose and consume values from your infrastructure.
3️⃣ Validation Rules for Variables
🔗 Docs
Add logic to ensure variable input correctness.
4️⃣ Managing Multiple Environments with .tfvars
🔗 HashiCorp Learn
Practical examples for managing dev/staging/prod configs.
5️⃣ Working with Complex Variable Types
🔗 Advanced Guide
Explore maps, objects, and custom types in real use.
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Conclusion
Terraform variables and outputs unlock the real power of infrastructure as code dynamic, reusable, and environment-aware configurations.
You’re no longer just defining infra you’re parameterizing it, turning your .tf
files into smart, flexible building blocks.
In the next blog, we’ll explore Terraform State what it is, where it lives, and how to manage it without risking your infrastructure.
Let’s keep building.