This topic gathers projects that exemplify or help to provide green computing. Green software is engineered to reduce energy consumption, which considers factors like algorithmic and language efficiency, networking, storage footprint, compute requirements, and so forth. Some projects follow great green software practices that should be highlighted; others help the rest of the world greenify their own code. The projects collected here are a mix of both.
An open cloud native capacity solution which helps you achieve ultimate resource utilization in an intelligent and risk-free way.
Carbon Limiting Auto Tuning for Kubernetes
a Kubernetes operator that aggregates energy and CO2 emission data for tagged resources
The Green Computing Scheduler is a carbon-aware Kubernetes scheduler that helps organizations reduce their carbon footprint by intelligently scheduling workloads based on real-time carbon intensity data. By delaying non-urgent batch jobs until periods of lower carbon intensity, the scheduler can significantly reduce the carbon emissions associated
Carbon-aware scheduling and traffic management Kubernetes Operator. It dynamically delays and redirects requests based on real-time energy mix data, optimizing workloads for greener energy consumption.