- Lab
- Cloud
Deploying a VM in AWS Using the Terraform Workflow
In this hands-on lab, we will be following the Terraform workflow — Write > Plan > Apply — to deploy a virtual machine (VM) in AWS. After a successful deployment, we will then clean up our infrastructure and destroy the resource we created.
Path Info
Table of Contents
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Challenge
Create a Directory and Write Your Terraform Code (Write)
- Create a new directory in the cloud_user's home directory to house your Terraform code called
terraform_code. - Create a new file for your code called
main.tf. - Add the provided code for creating your VM (as an EC2 instance in AWS) to the
main.tffile.
- Create a new directory in the cloud_user's home directory to house your Terraform code called
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Challenge
Plug the Provided AMI and Subnet ID Values Into Your Code
- Copy the AMI and subnet ID for the VM that have been saved in the
resource_ids.txtfile on the lab server. - Paste these values into your code in the
main.tffile.
- Copy the AMI and subnet ID for the VM that have been saved in the
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Challenge
Initialize and Review Your Terraform Code (Plan)
- Initialize your Terraform configuration with the
terraform initcommand. - Review the actions that will be performed when code is deployed using the
terraform plancommand.
- Initialize your Terraform configuration with the
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Challenge
Deploy Your Terraform Code (Apply), Verify Your Resources, and Clean Up
- Deploy the code with the
terraform applycommand. - Verify that your resource was created as intended in the AWS Management Console.
- Tear down the infrastructure using the
terraform destroycommand. - Verify that your resource was destroyed and removed in the AWS Management Console.
- Deploy the code with the
What's a lab?
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
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