A cross-platform infrastructure lab focused on virtualization, Linux and Windows Server administration, networking, containerization, security hardening, remote administration, and data analytics.
The project was developed progressively as a cumulative Operating Systems laboratory and evolved into a functional two-node environment using Ubuntu Server and Windows Server.
The environment consists of two virtualized server nodes hosted with Oracle VirtualBox:
- Ubuntu Server — 192.168.50.1
- Windows Server — 192.168.50.2
Ubuntu Server provides routing, NAT, Docker services, JupyterLab, SSH, and host-based firewall protection.
Windows Server provides PowerShell administration, connectivity validation, firewall controls, SSH client access, and remote browser access to JupyterLab.
View the full architecture documentation →
- Ubuntu Server
- Windows Server
- Oracle VirtualBox
- Linux CLI / Bash
- PowerShell
- TCP/IP
- NAT
- IP Forwarding
- iptables
- SSH
- UFW
- Windows Defender Firewall
- Docker
- JupyterLab
- Python
- Pandas
- Matplotlib
- GitHub
Deployment of Ubuntu Server and Windows Server as virtual machines using Oracle VirtualBox.
Cross-platform process and resource monitoring using Linux top, Windows Task Manager, process IDs, and command-line process management.
Identification and remediation of overly permissive Linux file permissions using chmod and the principle of least privilege.
Configuration of the internal 192.168.50.0/24 network, IP forwarding, NAT with iptables, gateway configuration, and connectivity validation between Ubuntu Server, Windows Server, and external networks.
Deployment of JupyterLab inside a Docker container on Ubuntu Server and remote access from Windows Server through TCP port 8888.
Implementation of UFW, Windows Defender Firewall, controlled service exposure, ICMP validation, and SSH key-based authentication between Windows Server and Ubuntu Server.
End-to-end validation of the infrastructure through Python, Pandas, DataFrames, Matplotlib, and data visualization inside the containerized JupyterLab environment.
The completed environment demonstrates:
- Cross-platform Linux and Windows Server administration
- Multi-node virtual infrastructure
- Internal network communication
- Ubuntu-based routing and NAT
- Docker container deployment
- Remote JupyterLab access
- Host-based firewall configuration
- SSH key-based authentication
- Process monitoring and administration
- Linux permission hardening
- Python-based analytics and visualization
secure-data-infrastructure-lab/
│
├── architecture/
├── virtualization/
├── process-monitoring/
├── access-control/
├── networking/
├── docker-jupyter/
├── security-hardening/
├── data-analytics/
├── evidence/
└── README.md
Infrastructure: VirtualBox, Ubuntu Server, Windows Server
Networking: TCP/IP, routing, NAT, IP forwarding, ICMP
Security: UFW, Windows Firewall, SSH keys, least privilege
Containers: Docker, JupyterLab
Administration: Bash, Linux CLI, PowerShell
Data: Python, Pandas, Matplotlib
This repository presents selected technical documentation and evidence from a cumulative academic infrastructure project.
The documentation has been reorganized as a technical portfolio to emphasize architecture, implementation decisions, troubleshooting, security controls, and validated results.
Sensitive credentials, private keys, passwords, and unnecessary personal information are excluded.