Cloud Resource Manager

Cloud Resource Manager is a Python-based AWS automation project built with boto3 and YAML configuration.

The project provisions core AWS infrastructure programmatically, including networking, security, and compute resources, then deploys a web server accessible through a public IP.

What It Builds

The automation creates:

• VPC
• Subnet
• Internet Gateway
• Route Table
• Security Group
• EC2 Instance
• Public IP output
• Apache web server

The infrastructure is idempotent, so running the script multiple times reuses existing resources instead of creating duplicates.

Architecture

config.yaml
    ↓
main.py + utils.py
    ↓
boto3
    ↓
AWS Infrastructure
(VPC → Subnet → Internet Gateway → EC2)

📸 Live Demo

This web server is automatically deployed during infrastructure provisioning.

Design Decisions

• Used boto3 instead of Terraform to get more hands-on experience with the AWS SDK and understand how resources are created programmatically
• Used YAML for configuration so resource settings can be changed without modifying the Python code
• Used a public subnet and Internet Gateway so the EC2 instance and web server could be accessed during testing
• Opened only ports 22 and 80 in the security group to allow SSH and HTTP traffic
• Added idempotent logic so rerunning the script reuses existing infrastructure instead of creating duplicate resources

Tradeoffs

• boto3 provides more control than Terraform, but it requires more code and resource management
• EC2 provides deeper visibility into infrastructure than serverless services, but it requires more setup and maintenance
• Manual SSH setup was useful for learning, but EC2 User Data would be more scalable and production-friendly
• Public internet access made testing easier, but a production environment would use tighter access controls

Tech Stack

• Python
• boto3
• PyYAML
• AWS EC2, VPC, IAM

Project Structure

cloud-resource-manager/
├── config.yaml
├── main.py
├── utils.py
├── requirements.txt
├── README.md
└── .gitignore

Running the Project

python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
aws configure
python main.py

Example Output

EC2 public IP: 98.85.100.34

Then open:

http://98.85.100.34

Expected page:

Hello Zonique 🚀
This server was deployed using Python + AWS automation.

What This Project Demonstrates

• AWS networking and routing
• Infrastructure automation with boto3
• Idempotent resource creation
• EC2 provisioning and management
• Security group configuration
• SSH and remote server management

Future Improvements

• Use EC2 User Data instead of manual SSH setup
• Automatically assign an Elastic IP
• Attach an IAM role to the EC2 instance
• Deploy a Flask application instead of a static page
• Rebuild the same infrastructure using Terraform