Guide to Deploying, Configuring, and Scaling Linux VMs in Azure for Beginners: Step-by-Step

Introduction

The demand for cloud computing expertise has grown immensely as businesses and developers turn to platforms like Microsoft Azure for flexible, scalable, and reliable infrastructure solutions. One of the most powerful tools in Azure’s cloud offerings is the Linux Virtual Machine (VM)—a versatile resource that provides a secure environment to run applications, host websites, or support development projects.

For beginners, creating, configuring, and scaling VMs in Azure might seem complex, but once broken down, it becomes a straightforward and rewarding process. In this guide, we’ll walk through each step involved in setting up a Linux VM on Azure, from initial deployment to configuration and scaling, empowering you to make the most of your cloud experience.

By the end of this guide, you’ll be able to:

Deploy a Linux VM in Azure in a few easy steps.
Configure your VM for secure, optimized performance.
Scale your VM to accommodate increased workloads and ensure high availability.

Let’s dive into each step to get your Linux VM running smoothly on Azure!

Become an Azure Expert in Just 2 Months with Industry-Certified Trainers

Career-Boosting Skills
Hands-on Labs
Flexible Learning

Enroll Now

Step 1: Setting Up Your Azure Account

To start, sign up for an Azure account if you don’t have one already. New users often receive a free trial with credits, so you can explore Azure without an upfront cost.

Go to Azure.
Create an account and complete the sign-up process.
Once logged in, navigate to the Azure Portal.

Step 2: Creating a Linux Virtual Machine

With Azure, deploying a Linux VM is straightforward:

In the Azure Portal, go to Virtual Machines.
Click on + Create and choose Azure Virtual Machine.
Select a Subscription and Resource Group. (A resource group organizes related resources in Azure.)
Choose the Image: Select a Linux distribution like Ubuntu, CentOS, or Red Hat from the list of available images.
Choose the VM Size: Based on your needs, select a VM size (e.g., Standard B1s for basic use, with one virtual CPU and 1GB of RAM).
Set up an Authentication Method (SSH or password-based). For security, SSH is recommended.
Configure Public Inbound Ports: Allow ports like SSH (port 22) for remote access to your VM.
Review and click Create.

Azure will take a few moments to deploy your VM, and you’ll receive a notification once it’s ready.

Step 3: Connecting to Your Linux VM

Once your VM is running, go to the Virtual Machines section in Azure.
Select your VM and locate the Public IP Address.
Open a terminal (or use a tool like PuTTY for Windows) and enter:

   ```bash

   ssh azureuser@&lt;public-ip-address&gt;

   ```

```bash

ssh azureuser@<public-ip-address>

```

Accept the security prompt and enter your password if required. You’re now connected to your Linux VM.

Step 4: Configuring Your Linux VM

After accessing your Linux VM, you can configure it based on your requirements.

Update System Packages:

   ```bash

   sudo apt update &amp;&amp; sudo apt upgrade -y  # for Ubuntu

   sudo yum update -y  # for CentOS

   ```

```bash

sudo apt update && sudo apt upgrade -y # for Ubuntu

sudo yum update -y # for CentOS

```

Install Essential Packages:

   ```bash

   sudo apt install git curl -y  # for Ubuntu

   sudo yum install git curl -y  # for CentOS

   ```

```bash

sudo apt install git curl -y # for Ubuntu

sudo yum install git curl -y # for CentOS

```

Set Up a Web Server (Optional): If you’re hosting web content, install and start a web server like Apache:

   ```bash

   sudo apt install apache2 -y  # for Ubuntu

   sudo systemctl start apache2  # Start Apache

   ```

```bash

sudo apt install apache2 -y # for Ubuntu

sudo systemctl start apache2 # Start Apache

```

Configure Firewalls: Use ufw to control access to services.

   ```bash

   sudo ufw allow 80/tcp  # Allow HTTP

   sudo ufw allow 443/tcp  # Allow HTTPS

   sudo ufw enable

   ```

```bash

sudo ufw allow 80/tcp # Allow HTTP

sudo ufw allow 443/tcp # Allow HTTPS

sudo ufw enable

```

Step 5: Scaling Your VM in Azure

Scaling allows you to adjust resources based on demand, keeping costs and performance optimized.

Manual Scaling: Change VM Size

In Azure Portal, navigate to Virtual Machines.
Select your VM and choose Size under Settings.
Select a larger VM size if you need more CPU or RAM, then apply the change.

Scaling Out with Virtual Machine Scale Sets

For handling higher traffic loads or ensuring high availability, use Azure VM Scale Sets:
In the Azure Portal, go to Virtual Machine Scale Sets.
Create a new Scale Set and configure the parameters (like single VM setup).
Configure Auto-Scaling:
– Define rules to add or remove instances based on metrics like CPU usage or memory.
– Set the minimum and maximum instance count.
Deploy the scale set. Azure will automatically manage the instances based on demand.

Step 6: Monitoring and Maintaining Your VM

Monitoring ensures your VM performs optimally. Azure provides built-in tools for monitoring:

Azure Monitor: Track metrics and set up alerts for CPU, memory, and network usage.
Log Analytics: Use this to gather and analyse logs, which is useful for debugging and optimization.
Backup: Regularly back up your VM to prevent data loss. Go to the VM’s settings and configure Backup with your desired frequency.

Conclusion

Setting up, configuring, and scaling Linux Virtual Machines in Azure empowers you to take advantage of cloud infrastructure’s flexibility, power, and reliability. As you’ve seen, each step can be broken down and followed systematically to create a robust and scalable VM setup. By practicing these steps, you’re building a strong foundation in cloud infrastructure management, enabling you to meet business demands, host applications, and scale operations smoothly in a professional cloud environment.

Continue exploring Azure’s extensive tools and resources, and you’ll find countless ways to optimize your VM configurations, monitor performance, and seamlessly expand your cloud capabilities as needed.

Access to Unlimited* Azure Trainings at the cost of 2 with Azure Mastery Pass

Microsoft Certified Instructor
Hands-on Labs
EMI starting @ INR 4999*

Subscribe Now

About CloudThat

CloudThat is a leading provider of Cloud Training and Consulting services with a global presence in India, the USA, Asia, Europe, and Africa. Specializing in AWS, Microsoft Azure, GCP, VMware, Databricks, and more, the company serves mid-market and enterprise clients, offering comprehensive expertise in Cloud Migration, Data Platforms, DevOps, IoT, AI/ML, and more.

CloudThat is the first Indian Company to win the prestigious Microsoft Partner 2024 Award and is recognized as a top-tier partner with AWS and Microsoft, including the prestigious ‘Think Big’ partner award from AWS and the Microsoft Superstars FY 2023 award in Asia & India. Having trained 650k+ professionals in 500+ cloud certifications and completed 300+ consulting projects globally, CloudThat is an official AWS Advanced Consulting Partner, Microsoft Gold Partner, AWS Training Partner, AWS Migration Partner, AWS Data and Analytics Partner, AWS DevOps Competency Partner, AWS GenAI Competency Partner, Amazon QuickSight Service Delivery Partner, Amazon EKS Service Delivery Partner, AWS Microsoft Workload Partners, Amazon EC2 Service Delivery Partner, Amazon ECS Service Delivery Partner, AWS Glue Service Delivery Partner, Amazon Redshift Service Delivery Partner, AWS Control Tower Service Delivery Partner, AWS WAF Service Delivery Partner and many more.