KubeBuddy is an AI-powered Kubernetes dashboard tool designed to provide a comprehensive and user-friendly interface for managing Kubernetes clusters. It offers real-time insights & monitoring that makes it easier to track workloads, nodes, and resource usage.
- AI-powered insights for optimal resource allocation
- Multi-cluster support with real-time monitoring
- Clean and interactive UI with role-based access control
- Logs, shell access, and resource editing with documentation
- Interactive visualizations for workload insights
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To install KubeBuddy in your system, follow the steps in our installation guide.
- Ensure you have a valid kubeconfig file configured.
- Run the command below to start the dashboard locally after following the installation steps:
python manage.py runserver- Access the dashboard via localhost:8000 or via your https://<public-ip-address>:8000.
We welcome contributions from the community! Feel free to fork this repository and submit pull requests with enhancements, bug fixes, or improvements to code quality.
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We use SonarCloud to continuously analyze the code for issues like bugs, code smells, and coverage gaps. You can contribute by helping us fix reported issues:
👉 View open issues on SonarCloud
Your contributions not only improve the codebase but also help keep the project healthy and maintainable. ❤️
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This project is licensed under the Apache 2.0 license.
For more information, visit our FAQ section.
This project is Powered by Thinknyx Technologies LLP







