https://github.com/truefoundry/cruisekube

CruiseKube is an intelligent Kubernetes resource optimization controller that automatically monitors, analyzes, and applies resource recommendations to improve cluster efficiency and reduce costs.
https://github.com/truefoundry/cruisekube

finops kubernetes

Last synced: 2 months ago
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CruiseKube is an intelligent Kubernetes resource optimization controller that automatically monitors, analyzes, and applies resource recommendations to improve cluster efficiency and reduce costs.

• Host: GitHub
• URL: https://github.com/truefoundry/cruisekube
• Owner: truefoundry
• License: other
• Created: 2025-11-13T03:56:33.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2026-03-30T05:45:43.000Z (2 months ago)
• Last Synced: 2026-03-30T07:48:39.958Z (2 months ago)
• Topics: finops, kubernetes
• Language: Go
• Homepage: https://cruisekube.com/
• Size: 21 MB
• Stars: 66
• Watchers: 1
• Forks: 3
• Open Issues: 9
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md
  • Security: SECURITY.md
  • Maintainers: MAINTAINERS.md

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README

          








  









 

    

 

 

    

 



CruiseKube - Autopilot for Kubernetes



CruiseKube is an intelligent Kubernetes resource optimization controller that automatically monitors, analyzes, and applies resource recommendations to improve cluster efficiency and reduce costs.

# Content

- [Content](#content)

- [Introduction](#introduction)

  - [What is CruiseKube?](#what-is-cruisekube)

  - [When do you need CruiseKube?](#when-do-you-need-cruisekube)

- [Getting Started](#getting-started)

- [Development](#development)

- [Contribution](#contribution)

  - [Star History](#star-history)

# Introduction

## What is CruiseKube?

**CruiseKube** is a Kubernetes-native, continuous resource optimization system that autonomously right-sizes CPU and memory for workloads at **runtime** and **admission time**. It focuses on eliminating persistent over-provisioning while preserving workload reliability and scheduling constraints.

Unlike static requests, manual tuning, or reactive autoscaling, CruiseKube operates as a **closed-loop control system** that observes real workload behavior and incrementally converges resource requests toward optimal values.

## When do you need CruiseKube?

You would need CruiseKube if you are facing any of these issues -

- **Chronic over-provisioning** driven by guesswork, peak-based sizing, and fear of CPU throttling or OOM crashes

- **Cost inefficiency** that node-level bin packing as provided by autoscalers (Cluster Autoscaler/Karpenter) alone cannot fix

- **Operational Load** arising from manual tuning of workloads on kubernetes by developers or DevOps teams

CruiseKube explicitly addresses the **pod-level right-sizing problem**, in a fully hands-off manner.

# Getting Started

Details on how to install and configure CruiseKube can be found in the [Getting Started](./docs/src/gs-installation.md) guide.

# Development

Refer to [DEVELOPMENT.md](./DEVELOPMENT.md) for more details.

# Contribution

Contribution details can be found in the [Contribution](./CONTRIBUTING.md) guide.

## Star History

[![Star History Chart](https://api.star-history.com/svg?repos=truefoundry/CruiseKube&type=Date)](https://www.star-history.com/#truefoundry/CruiseKube&Date)