DevOps Project: EC2 and Apache Deployment with Python & Fabric

This project automates the provisioning and deployment of a basic Apache web application using Python-based DevOps tools. It showcases the integration of AWS (via Boto3), SSH-based automation (via Fabric), and infrastructure scripting to streamline web server deployment.

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Project Overview

Goal:
Provision an EC2 instance, upload and install Apache2 using a shell script, and manage infrastructure using Python automation.

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Project Structure

• run_ec2_instances.py
  Automates the creation of an EC2 instance using Boto3 with custom tags, security group, subnet, and monitoring options.

• create_s3_bucket.py
  Creates a private S3 bucket using Boto3 for optional static file storage or artifact management.

• ssh_into_instance.py
  Uses the Fabric library to:

  • SSH into the EC2 instance via PEM key
  • Upload the Apache setup script
  • Make the script executable and run it with sudo

• apache.sh
  A Bash script executed remotely to:

  • Install Apache2
  • Enable and start the service
  • Display the server’s public IP address
  

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Tools & Technologies Used

• Python 3
• Boto3 – AWS automation SDK
• Fabric – SSH and remote task automation
• AWS EC2 – Cloud compute provisioning
• AWS S3 – Cloud object storage
• Apache2 – Web server installed via Bash
• Ubuntu – EC2 AMI base OS

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🔄 Workflow Summary

1. Provision EC2 instance with run_ec2_instances.py
2. Create an S3 bucket using create_s3_bucket.py (optional step)
3. SSH and deploy Apache using ssh_into_instance.py and apache.sh
4. Apache is now running and serving web content on the EC2 public IP

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Future Enhancements

• Automate web app zip upload to S3 and extraction on EC2
• Add teardown scripts to delete EC2 and S3 resources
• Integrate with CI/CD (e.g., GitHub Actions or Jenkins)
• Add error handling and logging

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Status

✅ Completed — ready for demonstration or extension.

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