Automating Terraform Testing: From Unit Tests to End-to-End Validation
Infrastructure as Code (IaC) involves both risk management and the deployment of scalable solutions. Automated testing is the foundation of Terraform's risk mitigation method, guaranteeing that your infrastructure operates as anticipated even when subjected to frequent change.
But what does automated Terraform testing look like? Today, we'll look at how the three pillars of testing—unit, integration, and end-to-end tests—work together to protect your infrastructure. We'll also walk through a basic Python-based example to demonstrate the benefits of automated testing in action.
Understanding the Types of Tests
1. Unit Tests: Testing the Smallest Components
Unit tests validate independent parts of your infrastructure. Consider these to be standalone tests of a single module, resource, or variable. For example:
Does your
vpc
module create the correct number of subnets?Are your
IAM
policies correctly configured?
These tests are often mocked, which means that no real resources are deployed. The objective is to guarantee that the logic and settings are valid while avoiding the cost of providing infrastructure.
2. Integration Tests: Ensuring Components Work Together
Integration tests verify how various components of your infrastructure interact. For example:
Does your VPC properly connect to your database instance?
Are your security groups and load balancers correctly configured to route traffic?
3. End-to-End Tests: Validating the Full System
End-to-end tests replicate actual workflows or user scenarios. For example:
Can a web server handle a request and return the expected response?
Is the application accessible from the internet with the expected security constraints?
This type of test involves deploying a full environment, making it the most comprehensive but also the most resource-intensive.
Using Terratest to Set Up a Basic Automated Test
Let's imagine we want to make sure our Terraform-managed web server responds correctly to HTTP requests. Here's how to create an automated test with Terratest, a Go-based testing framework optimized for infrastructure testing.
Prerequisites
Terraform configuration for deploying an EC2 instance running a web server.
A Go development environment set up on your local machine.
Terratest library installed (
go get github.com/gruntwork-io/terratest/modules/...
).
package test
import (
"testing"
"time"
"github.com/gruntwork-io/terratest/modules/http-helper"
"github.com/gruntwork-io/terratest/modules/terraform"
)
func TestWebServerResponse(t *testing.T) {
t.Parallel()
terraformOptions := &terraform.Options{
// Path to the Terraform configuration files
TerraformDir: "../terraform",
}
// Ensure resources are cleaned up at the end of the test
defer terraform.Destroy(t, terraformOptions)
// Initialize and apply Terraform configuration
terraform.InitAndApply(t, terraformOptions)
// Fetch the public IP of the EC2 instance from Terraform outputs
publicIp := terraform.Output(t, terraformOptions, "public_ip")
// Construct the URL to the web server
url := "http://" + publicIp
// Define a retryable HTTP test to ensure the server is up and running
maxRetries := 10
timeBetweenRetries := 5 * time.Second
http_helper.HttpGetWithRetry(t, url, nil, 200, "Welcome", maxRetries, timeBetweenRetries)
}
Running the test:
Initialize the Go Environment: Ensure that your Go development environment is properly set up by running:
go mod init test
go mod tidy
Execute the test suite:
go test -v
CI/CD Pipeline for Terraform Testing
Automating these tests further with a CI/CD pipeline ensures that every code change is rigorously validated. A typical pipeline might:
Lint your Terraform code with
tflint
.Validate configurations with
terraform validate
.Plan and review changes with
terraform plan
.Run Tests: Automatically execute unit, integration, and end-to-end tests using Terratest.
Report Results: Fail the pipeline if any test does not pass.
Wrapping Up
Terratest is the gold standard for testing Terraform code in production. By writing unit, integration, and end-to-end tests, you can catch errors early and validate your infrastructure with confidence. Adding these tests to a CI/CD pipeline ensures that every change is thoroughly vetted, reducing risk and enabling faster iterations.