Load Balancer Implementation for Kubernetes in Bare-Metal, Edge, and Virtualization

OpenELB: Cloud Native Load Balancer Implementation

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OpenELB is an open-source load balancer implementation designed for exposing the LoadBalancer type of Kubernetes services in bare metal, edge, and virtualization environments.

OpenELB was originally created by KubeSphere, and is currently a vendor neutral and CNCF Sandbox Project.

Why OpenELB

In cloud-based Kubernetes clusters, Services are usually exposed by using load balancers provided by cloud vendors. However, cloud-based load balancers are unavailable in bare-metal or on-premise environments. OpenELB allows users to create LoadBalancer Services in bare-metal, edge, and virtualization environments for external access, and provides the same user experience as cloud-based load balancers.

Core Features

• Load balancing in BGP mode and Layer 2 mode
• ECMP routing and load balancing
• IP address pool management
• BGP configuration using CRDs
• Installation using Helm Chart

Quickstart

• Install OpenELB on Kubernetes
• Install OpenELB on K3s
• Install OpenELB on KubeSphere

Documentation

You can learn how to use OpenELB in a cloud-based Kubernetes cluster by following the OpenELB Documentation.

Adopters

OpenELB has been adopted by many companies all over the world. If you are using OpenELB in your organization, welcome to join the end user community and add your logo to the list!

Roadmap

OpenELB Roadmap lists the features and bug fixes for each milestone. If you have any new ideas, feature requests or suggestions, please submit a proposal.

Support, Discussion and Contributing

• Join us at the KubeSphere Slack Channel to get support or simply tell us that you are using OpenELB.(openelb slack channel from kubernetes will be soon)
• You have code or documents for OpenELB? Contributions are always welcome! See Building and Contributing to obtain guidance.

License

OpenELB is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.

Contributors ✨

Thanks goes to these wonderful people (emoji key):

Yunkang Ren 💻 📖	Zhengyi Lai 💻 📖	Duan Jiong 💻 📖	KONY 💻 📖	Chauncey 💻 📖	pengfei 📖	Lan 📖
Patrick-LuoYu 📖	rayzhou2017 📖	KongKong 💻 📖	iparanoid 📖	Lutzow 📖	Money Liu 💻	Sherlock 📖
andrew_li 💻	Rick 📖

This project follows the all-contributors specification. Contributions of any kind welcome!