AWS Builder Center

Virtual Machines vs Containers: A Beginner-Friendly Guide to Cloud Computing

Learn the difference between virtual machines and containers, how hypervisors and container runtimes work, and when to use each approach in cloud environments.

Computer Science Engineering Student | Java & Spring Boot Developer

Virtual Machines vs Containers: A Beginner-Friendly Guide to Cloud Computing

When learning cloud computing, two important concepts you will frequently encounter are Virtual Machines (VMs) and Containers.
Both allow applications to run in isolated environments, but they work in very different ways.
Understanding this difference is important before learning services such as Amazon EC2, Amazon ECS, and Amazon EKS.

What is a Virtual Machine?

A Virtual Machine is a software-based computer that runs inside a physical computer.
A VM has its own:
  • Operating system
  • CPU allocation
  • Memory
  • Storage
  • Applications
A special software layer called a hypervisor manages these virtual machines.
For example:
text
Physical Server
|
Hypervisor
/ \
VM 1 VM 2
| |
Linux Windows
| |
App A App B

Each VM behaves like an independent computer.

What is a Hypervisor?

A hypervisor is responsible for creating and managing virtual machines.
It allocates physical resources such as CPU, RAM, and storage to each VM.
There are two common types:

Type 1 Hypervisor

A Type 1 hypervisor runs directly on the physical hardware.
text
Hardware
|
Hypervisor
|
VMs

This approach is commonly used in data centers and cloud infrastructure.

Type 2 Hypervisor

A Type 2 hypervisor runs on top of an existing operating system.
text
Hardware
|
Host OS
|
Hypervisor
|
VM

This is commonly used for development and testing on personal computers.

What is a Container?

A container packages an application together with the dependencies it needs to run.
Unlike a VM, a container does not normally contain a complete guest operating system.
Instead, containers share the host operating system's kernel while keeping applications isolated.
text
Physical Server
|
Operating System
|
Container Runtime
/ | \
App A App B App C

Popular container technologies include Docker and containerd.

VM vs Container

The biggest difference is the level of virtualization.
A VM virtualizes an entire computer, including its operating system.
A container virtualizes the application environment while sharing the host kernel.
Feature
Virtual Machine
Container
Operating System
Each VM has its own OS
Shares host kernel
Size
Usually larger
Usually smaller
Startup
Generally slower
Generally faster
Isolation
Strong
Process-level isolation
Resource usage
Higher
Lower
Portability
Good
Very good
Common use
Full OS workloads
Microservices and applications

Simple Real-Life Example

Imagine an apartment building.
With Virtual Machines, every tenant gets a complete house:
text
House + Kitchen + Bathroom + Everything

Each house operates independently.
With Containers, tenants share the building's infrastructure but have their own separate apartments.
text
Building
├── Apartment 1
├── Apartment 2
└── Apartment 3

This is a simplified analogy, but it helps explain why containers can be more lightweight than VMs.

Can a Container Run Inside a VM?

Yes.
Containers and virtual machines are not mutually exclusive.
A common cloud architecture can look like:
text
Cloud Infrastructure
|
Virtual Machine
|
Container Runtime
/ | \
App 1 App 2 App 3

For example, you can run containers on an Amazon EC2 instance.
Cloud platforms can also manage the underlying infrastructure for container workloads.

Containers in AWS

AWS provides several services related to containers.

Amazon ECS

Amazon Elastic Container Service (ECS) is a container orchestration service.
It can be used to deploy, manage, and scale containerized applications.

Amazon EKS

Amazon Elastic Kubernetes Service (EKS) is a managed Kubernetes service.
Kubernetes helps manage containers across a cluster of machines.

Amazon EC2

Amazon EC2 provides virtual servers in the AWS cloud.
You can install a container runtime on an EC2 instance and run containers yourself.

When Should You Use a VM?

Virtual machines can be useful when:
  • You need a complete operating system.
  • Your application requires OS-level customization.
  • You need to run applications that are not containerized.
  • You require strong isolation between workloads.

When Should You Use Containers?

Containers can be useful when:
  • You are building microservices.
  • You want fast application startup.
  • You want consistent environments between development and production.
  • You need to package applications with their dependencies.
  • You want to scale individual application components.

Final Takeaway

Virtual machines and containers solve related problems but at different levels.
A VM provides a virtual computer, including its operating system.
A container provides an isolated application environment, generally sharing the host operating system's kernel.
A simple way to remember it is:
VM = Virtual computer
Container = Isolated application environment
Understanding this distinction makes it much easier to learn cloud computing, Docker, Kubernetes, Amazon ECS, Amazon EKS, and other AWS technologies.
Any opinions in this article are those of the individual author and may not reflect the opinions of AWS.
Enjoyed reading this content? Let the author know!

Your likes, comments, shares, and saves help creators reach more builders.

Loading recommendations

Loading article