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Cloud Cost Optimization Platform (AWS)

Python FastAPI License: MIT

Description

A real-time, advanced platform for monitoring, analyzing, and optimizing AWS cloud costs. Features include cost anomaly detection using ML, resource optimization recommendations, budget tracking, and automated cost reporting. Built with FastAPI, Celery, SQLAlchemy, and AWS Cost Explorer API.

Features

  • Real-time AWS cost ingestion and dashboard API
  • ML-based cost anomaly detection (Isolation Forest)
  • Resource optimization recommendations (EC2, RDS, S3, etc.)
  • User-defined budget tracking and alerts
  • Automated PDF/CSV cost reporting and email delivery
  • Scheduled jobs with Celery
  • Modular, extensible backend (ready for Azure/GCP)

Tech Stack

  • Python, FastAPI, SQLAlchemy, Celery, PostgreSQL/SQLite, boto3, scikit-learn, pandas

Setup & Usage

  1. Clone the repo 
    git clone <repo-url>
cd Cloud Cost Optimization Platform
  2. Install dependencies 
    cd backend
pip install -r requirements.txt
  3. Set environment variables (.env file or export):
    • AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION
    • DATABASE_URL (optional, defaults to SQLite)
    • CELERY_BROKER_URL and CELERY_RESULT_BACKEND (for Celery)
  4. Initialize the database 
    python -c "from app.database import Base, engine; Base.metadata.create_all(bind=engine)"
  5. Run the FastAPI server 
    uvicorn app.main:app --reload
  6. Run Celery worker (for scheduled jobs) 
    celery -A celery_worker.celery_app worker --loglevel=info

License

MIT

Topics

cloud-cost aws cost-optimization fastapi celery anomaly-detection boto3 sqlachemy python cloud-monitoring cloud-billing cost-explorer-api cost-reporting cloud-resource-optimization