Cloud Tracker: Backend

Cloud Tracker is a web application that helps users monitor and manage the costs of their AWS resources. The app provides real-time visualizations to ensure efficient cost management and optimization.

Demo

Check out the demo!

CloudTrackerDemo.mp4

Features

• Monitor AWS resource costs.
• Visualize costs using line charts, pie charts, and bar charts.
• See the forecast for the remaining month.
• Access your account using IAM Roles or by uploading a CSV file of your usage.
• Check out blogs written by administrators to learn more about the cloud and AWS.

Technologies Used

• Framework: Spring Boot
• Database: MySQL
• Security: JWT
• CI/CD & Test Coverage: Jacoco
• Containerization: Docker
• Cloud Integration: AWS SDK

JaCoCo Test Coverage

FrontEnd Repo

To access the frontend repo, visit the following link: Cloud Tracker Frontend.

Installation Guide

To install and run Cloud Tracker (Backend), follow these steps:

1. Ensure Docker is Installed: Verify that Docker and Docker Compose are installed on your device. Installation procedures may vary based on your operating system.

2. Navigate to Project Directory: Use the terminal to navigate to the project directory. Alternatively, you can utilize the integrated terminal in your IDE.

3. Create .env File: Create a .env file at the root of your project directory with the following content:

   # MySQL Configuration
   MYSQL_DATABASE=your_database_name
   MYSQL_USERNAME=your_username
   MYSQL_PASSWORD=your_password
   

   Replace your_database_name, your_username, and your_password with your actual MySQL database name, username, and password.

4. Build Docker Images: Execute the following command to build the Docker images:

   docker-compose build

5. Start Services: Once the images are built, start the services with:

   docker-compose up

6. Stopping the Services: To stop the running services, use:

   docker-compose down

7. Deleting Images: If you wish to delete the images, you can find the image IDs by running:

   docker images

   Then, delete the images using:

   docker rmi <image_id>

Usage

• Register or log in to your account.
• Connect your AWS account using IAM credentials or upload a CSV file.
• View the dashboard for an overview of your AWS costs.

Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository.
2. Add your feature or fix.
3. Open a pull request.