Kubernetes "enhanced" with AI capabilities
You are free to use and modify this code, but please keep attribution to the original author (Róbert Zsótér) and link back to this repository where possible. The license applies to the entire repo.
In this project, I will show you how to use Kubernetes/EKS with capabilities of AI through a real-world example. The goal is to:
- provide you with practical examples if you are interested in Kubernetes-AI integration
- give you a learning foundation that you can further develop in your own environment
- introduce proven solutions that I also use occasionally in my projects
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Technologies used:
Kubernetes v1.33,Python 3,Terraform,Helm -
Architecture: will be documented within the project folders
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License: MIT License – see
LICENSEfile. The license applies to the entire repo.
- Clone the repo:
git clone https://github.com/zsoterr/kubernetes-ai-examples.git
cd kubernetes-ai-examples- Kubectl + ChatGPT Integration: kubectl-ai with Web UI
Folder:project-k8s-kubectl-ai-web-ui/
Description: Example of managing a Kubernetes cluster via a browser—through a graphical interface: Analyzing K8s events and responding to them using kubectl + ChatGPT API (with kubectl-ai).
Note: This project builds on top of Google’s kubectl-ai plugin. For installation and usage of kubectl-ai itself, see the official repository.
- (More projects to come...)
- Medium: Kubectl-ai WebUI: Making AI Kubernetes Debugging Browser-Friendly for All – [https://medium.com/p/cc5dcf78d41f]
- dev.to:
- Substack:
This repository is maintained as a curated, single-author collection of Kubernetes + AI examples. External pull requests and issue reports are not accepted, due to limited review time.
Discussions remain open for feedback, questions, and ideas. Feel free to fork the projects and adapt them to your own use cases.