Deploying a Linux Virtual Machine with Cloud-Init

1 hour
  • 2 Learning Objectives

About this Hands-on Lab

In this lab, we’ll deploy two virtual machines. For one, we’ll be using Azure Deployment Wizard, and for the other we’ll use Azure CLI. For each of these machines, we’ll use `cloud-init` to pre-update our VMs before we connect to ensure they’re ready for use at first login. Not only will we go over how to use `cloud-init`, we’ll also walk through how you can craft a `cloud-init` file using the Azure Cloud Shell.

Learning Objectives

Successfully complete this lab by achieving the following learning objectives:

Deploy a VM & Configure it Using Cloud-Init from the Azure Console

Our first goal is to show how to use cloud-init even in one-off deployments where you may just want to get some of the busy work for your server taken care of at deployment time. To do this, we’ll deploy a basic server and use cloud-init to get the server patches up-to-date before we even log in to it.

Deploy a VM & Configure it Using Cloud-Init using the Azure Cloud Shell and Azure CLI

The second goal of this lab will essentially recreate the steps of the first, using the Azure CLI and a cloud-init command file that can be used repeatedly for other servers. Students will learn how to create a cloud-init command file in the Azure Cloud Shell and how to use that file when deploying using the command line.

Additional Resources

Log in to the Azure portal using the credentials provided.

When logging in to Cloud Shell, use the following username and password, replacing <PUBLIC_IP_ADDRESS> with the public IP address listed in the Networking section of the virtual machine:

* *User:* **acg-admin@<PUBLIC_IP_ADDRESS>**
* *Password:* **ACGAdmin123!**

Additional information on using cloud-init:

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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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