This experiment is designed to provide a deep, practical, and architectural understanding of two foundational technologies used in modern DevOps and cloud infrastructure:
Both technologies are implemented using Ubuntu Linux and a common application stack (Nginx Web Server) to ensure a fair, real-world comparison.
In real-world DevOps pipelines:
Understanding when and why to use each is critical for:
This experiment bridges theory and hands-on execution.
Physical Hardware
└── Windows Host OS
└── VirtualBox Hypervisor
└── Ubuntu Guest OS
└── Nginx Service
Physical Hardware
└── Ubuntu OS (inside VM)
└── Docker Engine
└── Nginx Container
| Aspect | Virtual Machine | Container |
|---|---|---|
| Kernel | Own Kernel | Shares Host Kernel |
| Startup Time | Slow | Very Fast |
| Resource Usage | High | Low |
| Isolation | Strong | Process-level |
| Portability | Moderate | Very High |
| Use Case | OS-level isolation | App-level deployment |
Vagrant allows Infrastructure as Code (IaC), enabling reproducible, automated, and consistent virtual machine environments without manual OS installation.
vagrant --version
mkdir vm-lab
cd vm-lab
vagrant init ubuntu/jammy64
vagrant up
vagrant ssh
sudo apt update
sudo apt install -y nginx
sudo systemctl start nginx
curl localhost
free -h
htop
systemd-analyze
sudo apt update
sudo apt install -y docker.io
sudo systemctl start docker
sudo systemctl enable docker
sudo usermod -aG docker vagrant
exit
vagrant ssh
docker --version
docker run -d -p 8080:80 --name nginx-container nginx
curl localhost:8080
docker stats
free -h
docker stop nginx-container
docker rm nginx-container
exit
vagrant halt
| Parameter | Virtual Machine | Container |
|---|---|---|
| Boot Time | High | Very Low |
| Memory Usage | High | Low |
| CPU Overhead | Higher | Minimal |
| Disk Footprint | Large | Small |
| Isolation Level | Strong | Moderate |
| Scalability | Moderate | High |
The experiment confirms that:
Virtual Machines and Containers serve different but complementary purposes. While VMs remain essential for strong isolation and infrastructure boundaries, containers dominate application deployment due to speed, efficiency, and scalability.
This experiment successfully demonstrates both technologies in a real-world DevOps context.
This documentation follows industry-standard DevOps practices and mirrors real production workflows involving virtualization, containerization, and automated infrastructure management.