Running Virtual Machines on AWS: A Practical Overview

Run virtual machines on AWS EC2 with ease. Learn setup, scaling, security, and optimization with guidance from our AWS Support team.

Running Virtual Machines on AWS: A Practical Overview

Running servers in the cloud is now a standard practice. Instead of buying physical hardware, you can create virtual machines on demand and pay only for what you use.

In AWS, this is done using Amazon Web Services and its compute service Amazon EC2. This guide explains how EC2 works like a VPS, how to launch one, and the basic commands you need to manage it.

What Is an AWS VPS

A VPS (Virtual Private Server) is a virtual machine with:

• Dedicated CPU and RAM (allocated logically)
• Its own operating system
• Root or admin access
• Network isolation

In AWS, this VPS model is implemented using EC2 instances.

Each EC2 instance runs on shared physical hardware, but virtualization ensures that your resources remain isolated from others.

You control:

• Instance type (CPU, memory)
• Storage
• Network access
• Security rules

Why Use AWS EC2 Instead of Traditional VPS

1. Easy Scaling

You can:

• Resize instances
• Add or remove servers
• Use Auto Scaling for traffic spikes

No manual hardware upgrade required.

2. Pay-As-You-Go Pricing

You are billed:

• Per second or hour (depending on configuration)
• Only for running resources

No upfront hardware investment.

3. Built-In Security Controls

AWS provides:

• Security Groups (firewall rules)
• IAM roles and policies
• VPC network isolation

Example security group rule via CLI:

aws ec2 authorize-security-group-ingress \

--group-id sg-12345678 \

--protocol tcp \

--port 22 \

--cidr 0.0.0.0/0

How EC2 Works

When you launch an EC2 instance:

1. You select an AMI (Amazon Machine Image)
2. You choose an instance type
3. AWS allocates compute resources
4. A virtual machine boots in a data center region

Example architecture components:

• Region: Geographic location
• Availability Zone: Isolated data center
• EC2 Instance: Your virtual machine
• EBS Volume: Persistent storage
• Security Group: Firewall

Launching an EC2 Instance Using AWS CLI

Instead of using the console, here is the CLI method.

Step 1: Configure AWS CLI

aws configure

Provide:

• Access Key
• Secret Key
• Default region
• Output format

Step 2: Launch Instance

aws ec2 run-instances \

--image-id ami-0abcdef1234567890 \

--count 1 \

--instance-type t2.micro \

--key-name MyKeyPair \

--security-group-ids sg-903004f8 \

--subnet-id subnet-12345678

Important parameters:

• –image-id: OS image
• –instance-type: CPU/RAM configuration
• –key-name: SSH access
• –security-group-ids: Firewall rules

Step 3: Get Public IP

aws ec2 describe-instances \

--instance-ids i-1234567890abcdef0 \

--query "Reservations[*].Instances[*].PublicIpAddress" \

--output text

Step 4: Connect to Linux Instance

ssh -i your-key.pem ec2-user@your-public-ip

For Windows:

• Download RDP file from console
• Decrypt administrator password
• Connect using Remote Desktop

Basic Server Setup After Login

Update packages:

sudo yum update -y

Install Nginx:

sudo yum install nginx -y

sudo systemctl start nginx

sudo systemctl enable nginx

Allow HTTP in security group:

aws ec2 authorize-security-group-ingress \

--group-id sg-903004f8 \

--protocol tcp \

--port 80 \

--cidr 0.0.0.0/0

Now access:

http://your-public-ip

Auto Scaling Example

Auto Scaling allows automatic instance count adjustment.

Create launch template:

aws ec2 create-launch-template \

--launch-template-name my-template \

--version-description v1 \

--launch-template-data '{

"ImageId":"ami-0abcdef1234567890",

"InstanceType":"t2.micro"

}'

Create Auto Scaling group:

aws autoscaling create-auto-scaling-group \

--auto-scaling-group-name my-asg \

--launch-template LaunchTemplateName=my-template \

--min-size 1 \

--max-size 3 \

--desired-capacity 1 \

--vpc-zone-identifier subnet-12345678

This setup:

• Starts with 1 instance
• Scales up to 3
• Adjusts based on policies

Real Usage Scenarios

High Traffic Web Application

During peak hours:

• Auto Scaling adds instances
• Load balancer distributes traffic
• Extra instances terminate when traffic drops

You only pay for active compute time.

Game Server Hosting

For example, a Minecraft server:

• Deploy EC2 in closest region to players
• Increase instance size during tournaments
• Reduce resources after event

This improves performance and controls cost.

Cost Optimization Tips

• Use t3 or t4g for lightweight workloads
• Stop instances when not in use:

aws ec2 stop-instances --instance-ids i-1234567890abcdef0

• Use Reserved Instances for long-term workloads
• Monitor usage with CloudWatch

[Need assistance with a different issue? Our team is available 24/7.]

Conclusion

Using EC2 as a VPS gives full control over compute resources without buying hardware. You can start small, scale when needed, and automate everything using CLI or Infrastructure as Code.

For developers and system administrators, mastering EC2 means you can deploy, manage, and scale applications in a controlled and repeatable way.