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Version: Next

Get Started

Before reading this guide, we assume you either have a Kubernetes cluster, or a local Kubernetes dev environment, e.g MiniKube. It is also assumed that kubectl is on your path and properly configured. Follow this guide on how to setup a local Kubernetes cluster using docker-desktop.

Install​

The easiest way to get started is to use our Helm Charts to deploy YuniKorn on an existing Kubernetes cluster. It is recommended to use Helm 3 or later versions. (Follow this guide to install Helm on your computer)

helm repo add yunikorn https://apache.github.io/yunikorn-release
helm repo update
kubectl create namespace yunikorn
helm install yunikorn yunikorn/yunikorn --namespace yunikorn

By default, the helm chart will install the scheduler, web-server and the admission-controller in the cluster. When admission-controller is installed, it simply routes all traffic to YuniKorn. That means the resource scheduling is delegated to YuniKorn. You can disable it by setting embedAdmissionController flag to false during the helm install.

If you want to use a specific version of YuniKorn, you can add the --version flag to the helm install command as follows:

helm install yunikorn yunikorn/yunikorn --namespace yunikorn --version {version}

You can check YuniKorn Helm hub page to see the available versions and further configuration options for YuniKorn Helm chart.

If you don't want to use helm charts, you can find our step-by-step tutorial here.

Uninstall​

Run the following command to uninstall YuniKorn:

helm uninstall yunikorn --namespace yunikorn

Access the Web UI​

When the scheduler is deployed, the web UI is also deployed in a container. Port forwarding for the web interface on the standard port can be turned on via:

kubectl port-forward svc/yunikorn-service 9889:9889 -n yunikorn

9889 is the default port for web UI. Once this is done, web UI will be available at: http://localhost:9889.

UI Screenshots

YuniKorn UI provides a centralised view for cluster resource capacity, utilization, and all application info.

Besides, YuniKorn also exposes its scheduling metrics via Prometheus.

If you want to monitor the YuniKorn core services by using Prometheus and Grafana, you can find our step-by-step tutorial here.