Skip to main content
C

Carbonifer

This platform provides real-time carbon emission monitoring for cloud infrastructure, enabling users to measure and reduce their carbon footprint. By analyzing infrastructure-as-code and existing infrastructure, the platform helps optimize server usage and schedule computing tasks based on grid carbon intensity.

Nantes, France1100+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Cloud infrastructure contributes significantly to global carbon emissions, yet many organizations lack the tools to effectively measure and manage their cloud carbon footprint. This makes it difficult to optimize resource usage and make informed decisions about cloud provider and region selection to minimize environmental impact.

Solution

Carbonifer provides a command-line interface (CLI) and dashboard to transform cloud infrastructure into a carbon-aware environment by estimating carbon emissions from Terraform files and providing real-time measurement of emissions from deployed infrastructure. By connecting to AWS, GCP, or Azure accounts, Carbonifer analyzes infrastructure-as-code (IaC) projects to estimate emissions based on cloud provider datacenter information. The platform also performs live analysis of existing infrastructure to estimate carbon emissions in real-time, enabling users to dynamically resize or relocate servers and schedule computing tasks based on grid carbon intensity.

Target Audience

Carbonifer is designed for DevOps engineers, cloud architects, and sustainability officers seeking to measure, analyze, and reduce the carbon footprint of their cloud infrastructure.

Features

  • Carbon footprint estimation from Terraform files for AWS, GCP, and Azure cloud resources
  • Real-time carbon emission analysis of existing cloud infrastructure
  • Support for various GCP resources including Compute Engine, Cloud SQL, and Kubernetes Engine (GKE)
  • Support for various AWS resources including EC2, EBS Volumes, and RDS
  • Ability to resize or relocate servers based on real-time carbon intensity data
  • Customizable reporting in text or JSON formats, with options for hourly, monthly, or yearly views
  • Integration with CI/CD pipelines for continuous carbon emission monitoring
  • CLI tool for local analysis and a dashboard for centralized management
This profile is AI-generated and may contain inaccuracies.