Harness the power of data to optimize your cloud infrastructure's environmental impact.
This repository provides tools and insights to help you select the most carbon-efficient data center location for your cloud workloads. By leveraging the Electricity Maps API, we offer a comprehensive approach to understanding and predicting the carbon footprint of different regions.
Key Features:
- Data Center Carbon Footprint Analysis: Utilize Electricity Maps API to retrieve historical and predicted carbon intensity data for various data center locations.
- Optimization Tools: Employ algorithms to identify optimal data center locations based on carbon footprint and other factors (e.g., cost, performance).
Getting Started:
- Install uvicorn and fastapi requirement using pip.
Run uvicorn ASGI server
uvicorn main:app --reload
Contributing: We welcome contributions to improve the project.
License: MIT