A curated list of awesome tools, resources, frameworks, and educational content focused on Green Cloud Computing—the practice of making cloud infrastructure and services more energy-efficient and environmentally sustainable.

• General Resources
• Green Cloud Providers
• Energy-Efficient Tools and Platforms
• Frameworks and Libraries
• Monitoring and Optimization Tools
• Educational Resources
• Research Papers
• Community and Forums
• Contribute
• License

• What is Green Cloud Computing? - An overview of green cloud computing principles and practices.
• Sustainable Cloud Practices by AWS - Amazon's commitment to building a sustainable cloud infrastructure.
• Google Cloud Sustainability - Learn how Google Cloud is reducing its carbon footprint.
• Green Software Foundation - An initiative promoting sustainable software development.

• Google Cloud - A carbon-neutral cloud provider using renewable energy to power its data centers.
• Microsoft Azure Sustainability - Initiatives by Azure to achieve a carbon-negative cloud.
• Amazon Web Services (AWS) - AWS’s sustainable cloud computing practices, including renewable energy commitments.
• IBM Cloud - IBM’s approach to sustainable cloud computing and carbon efficiency.
• Cloudflare - A provider focused on energy efficiency and reducing internet carbon emissions.

• Carbon Aware SDK - A toolkit for optimizing software operations based on carbon intensity.
• Cloud Carbon Footprint - An open-source tool for measuring and reducing cloud emissions.
• Azure Well-Architected Framework: Sustainability - Guidelines for building sustainable cloud applications.
• Google Cloud Carbon Footprint - A tool for measuring and managing your cloud carbon emissions.
• Kubernetes Energy Efficiency Tools - Energy-efficient configurations for Kubernetes clusters.

• Green Algorithms - A framework for evaluating the environmental impact of computational workflows.
• Eco-Code - A set of guidelines for writing energy-efficient code.
• Green AI - Tools and methodologies for reducing the carbon footprint of AI models.
• Terraform for Green Infrastructure - Best practices for provisioning energy-efficient cloud resources.
• Energy Efficient Docker Containers - Tips and tools for optimizing containerized workloads.

• PowerAPI - A library for monitoring the energy consumption of software applications.
• Datadog - Tools for tracking and optimizing resource usage in cloud environments.
• AWS Cost and Usage Report - Monitor and reduce costs while optimizing energy usage.
• Google Cloud Operations Suite - Tools for tracking sustainability metrics and resource efficiency.
• Green Metrics Tool - A tool for calculating the energy and carbon impact of cloud infrastructure.

• Sustainable Software Engineering - A Microsoft learning path on sustainable software engineering.
• Sustainability in the Cloud - AWS training courses focused on sustainability best practices.
• Carbon Efficiency in Cloud Computing - Articles and tutorials on reducing carbon footprints in the cloud.
• Coursera: Green Cloud Computing - Online courses on sustainable cloud practices.
• Climate Neutral Data Centers Pact - A guide to making data centers energy-efficient.

• Energy-Efficient Cloud Computing - A research paper on optimizing energy consumption in cloud environments.
• Carbon Efficiency of Machine Learning - Analyzing the carbon footprint of AI workloads.
• Sustainable Cloud Infrastructure - A paper on designing sustainable and efficient cloud systems.
• Green Cloud Computing: State of the Art - A comprehensive review of green cloud computing practices.

• Green Software Foundation Community - A community promoting sustainable software practices.
• Reddit: r/Sustainability - Discussions about sustainable technologies and practices.
• Sustainable DevOps Discord - A community for sharing tips on sustainable cloud and DevOps practices.
• Cloud Native Sustainability Slack - A Slack group for discussing sustainability in cloud-native environments.

Contributions are welcome. Please ensure your submission fully follows the requirements outlined in CONTRIBUTING.md, including formatting, scope alignment, and category placement.

Pull requests that do not adhere to the contribution guidelines may be closed.