In this tutorial, we aim to compare and contrast two key technologies used in deploying applications: Virtual Machines (VMs) and Containers. This tutorial will provide a clear understanding of what VMs and Containers are, their similarities, differences, and their practical use-cases.
By the end of this tutorial, you should be able to:
- Understand what a VM and a Container are
- Know the differences and similarities between VMs and Containers
- Identify use-cases where you might choose to use VMs or Containers
Prerequisites:
- Basic understanding of how applications are deployed
- Basic knowledge of system architecture
A Virtual Machine (VM) is an emulation of a physical computer system. VMs are based on computer architectures and provide the functionality of a physical computer. They run on a hypervisor which allows multiple VMs to run on a single machine. Each VM includes a full copy of an operating system, the application, necessary binaries and libraries - taking up tens of GBs.
Containers are an abstraction at the app layer that packages code and dependencies together. They share the OS kernel with other containers, and run as isolated processes in user space on the host operating system. Containers are not tied to any specific infrastructure – they run on any computer, on any infrastructure, and in any cloud.
Virtual Machines | Containers | |
---|---|---|
System Overhead | High (Each VM runs a full OS) | Low (Containers share the OS kernel) |
Boot-up Time | Slow (Minutes) | Fast (Milliseconds) |
Performance | Slower (Due to additional emulation) | Faster |
Portability | Less portable (VMs are tied to the host OS and underlying infrastructure) | High (Containers aren't tied to the infrastructure) |
Isolation | High (Each VM is fully isolated) | Less (Containers share the OS kernel) |
Here are some simple examples to show how to create a VM and a Container.
On a hypervisor like VirtualBox, creating a VM involves going through a wizard and selecting your options, such as the type of OS, hardware specs, etc.
vboxmanage createvm --name "My_VM" --register
vboxmanage modifyvm "My_VM" --memory 2048 --acpi on --boot1 dvd
In this example, we are creating a VM named "My_VM" and setting the boot order to boot from the virtual DVD drive.
With Docker, you can create a container by using a Dockerfile.
# Use an official Python runtime as a parent image
FROM python:3.7-slim
# Set working directory to /app
WORKDIR /app
# Copy the current directory contents into the container at /app
COPY . /app
# Install any needed packages specified in requirements.txt
RUN pip install --no-cache-dir -r requirements.txt
# Make port 80 available to the world outside this container
EXPOSE 80
# Run app.py when the container launches
CMD ["python", "app.py"]
This Dockerfile creates a Python container, sets the working directory, copies your local directory into the container, installs any dependencies, exposes a port for the application, and runs the application.
In this tutorial, we compared and contrasted VMs and Containers. VMs are emulations of a physical computer system, while Containers are an abstraction at the app layer that packages code and dependencies together. VMs have higher system overhead and are slower but are fully isolated. Containers have lower system overhead and are faster but share the OS kernel.
To further your understanding, you might want to look into specific tools and platforms such as Docker (for Containers) and VirtualBox (for VMs).
Remember, practice is the key to mastering any concept. Happy Learning!