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Version: 1.3.0

Dev Environment Setup

There are several ways to setup a local development environment for Kubernetes, the three most common ones are Minikube (docs), docker-desktop and kind (kind) Minikube provisions a local Kubernetes cluster on several Virtual Machines (via VirtualBox or something similar). docker-desktop on the other hand, sets up Kubernetes cluster in docker containers. kind provides lightweight Kubernetes clusters for Windows, Linux and Mac.

Local Kubernetes cluster using Docker Desktop

In this tutorial, we will base all the installs on Docker Desktop. Even in this case we can use a lightweight minikube setup which gives the same functionality with less impact.


Download and install Docker-Desktop on your laptop. Latest version has an embedded version of Kubernetes so no additional install is needed. Just simply follow the instruction here to get Kubernetes up and running within docker-desktop.

Once Kubernetes is started in docker desktop, you should see something similar below:

Kubernetes in Docker Desktop

This means that:

  1. Kubernetes is running.
  2. the command line tool kubctl is installed in the /usr/local/bin directory.
  3. the Kubernetes context is set to docker-desktop.

Deploy and access dashboard

After setting up the local Kubernetes you need to deploy the dashboard using the following steps:

  1. follow the instructions in Kubernetes dashboard doc to deploy the dashboard.
  2. start the Kubernetes proxy in the background from a terminal to get access on the dashboard on the local host:
    kubectl proxy &
  3. access the dashboard at the following URL: clickable link

Access local Kubernetes cluster

The dashboard as deployed in the previous step requires a token or config to sign in. Here we use the token to sign in. The token is generated automatically and can be retrieved from the system.

  1. retrieve the name of the dashboard token:
    kubectl -n kube-system get secret | grep kubernetes-dashboard-token
  2. retrieve the content of the token, note that the token name ends with a random 5 character code and needs to be replaced with the result of step 1. As an example:
    kubectl -n kube-system describe secret kubernetes-dashboard-token-tf6n8
  3. copy the token value which is part of the Data section with the tag token.
  4. select the Token option in the dashboard web UI:
    Token Access in dashboard
  5. paste the token value into the input box and sign in:
    Token Access in dashboard

Local Kubernetes cluster with Minikube

Minikube can be added to an existing Docker Desktop install. Minikube can either use the pre-installed hypervisor or use a hypervisor of choice. These instructions use HyperKit which is embedded in Docker Desktop.

If you want to use a different hypervisor then HyperKit make sure that you follow the generic minikube install instructions. Do not forget to install the correct driver for the chosen hypervisor if required. The basic instructions are provided in the minikube install instructions.

Check hypervisor Docker Desktop should have already installed HyperKit. In a terminal run: hyperkit to confirm. Any response other than hyperkit: command not found confirms that HyperKit is installed and on the path. If it is not found you can choose a different hypervisor or fix the Docker Desktop install.

Installing Minikube

  1. install minikube, you can either use brew or directly via these steps:
    curl -Lo minikube
    chmod +x minikube
    sudo mv minikube /usr/local/bin
  2. install HyperKit driver (required), you can either use brew or directly via these steps:
    curl -LO
    sudo install -o root -g wheel -m 4755 docker-machine-driver-hyperkit /usr/local/bin/
  3. update the minikube config to default to the HyperKit install minikube config set vm-driver hyperkit
  4. change docker desktop to use minikube for Kubernetes:
    Kubernetes in Docker Desktop: minikube setting

Deploy and access the cluster

After the installation is done you can start a new cluster.

  1. start the minikube cluster: minikube start --kubernetes-version v1.24.7
  2. start the minikube dashboard: minikube dashboard &

Build impact

When you create images make sure that the build is run after pointing it to the right environment. Without setting the enviromnent minikube might not find the docker images when deploying the scheduler.

  1. make sure minikube is started
  2. in the terminal where you wll run the build execute: eval $(minikube docker-env)
  3. run the image build from the yunikorn-k8shim repository root: make image
  4. deploy the scheduler as per the normal instructions.

Local Kubernetes Cluster with Kind

Kind (Kubernetes in Docker) is a lightweight tool for running lightweight Kubernetes environments. It is very easy to test different Kubernetes versions with kind. You can just select the kind image you want.


If you have go installed, you can run go install

Other ways can be found on the Kind website

To use Kind with Kubernetes 1.25, you will need to use v0.15 or greater of Kind. The release of kind does allow for particular versions of Kubernetes and you can get that information from the Kind release notes.

Using Kind

To test a new version of Kubernetes, you can pull a corresponding image from kind's repo.

Creating a v1.24.7 Kubernetes Cluster: kind create cluster --name test --image kindest/node:v1.24.7

Deleting a kind cluster: kind delete cluster --name test

Loading your images

In order to use a local image, you have to load your images into kind's registry. If you run make image, you could use the following command to load your kind image. This assumes AMD64 architecture.

The scheduler, web-ui and admission-controller examples are below: scheduler: kind load docker-image apache/yunikorn:scheduler-amd64-latest

web: kind load docker-image apache/yunikorn:web-amd64-latest

admission-controller: kind load docker-image apache/yunikorn:admission-amd64-latest

Debug code locally

Note, this instruction requires you have GoLand IDE for development.

In GoLand, go to yunikorn-k8shim project. Then click "Run" -> "Debug..." -> "Edit Configuration..." to get the pop-up configuration window. Note, you need to click "+" to create a new profile if the Go Build option is not available at the first time.

Debug Configuration

The highlighted fields are the configurations you need to add. These include:

  • Run Kind: package
  • Package path: point to the path of pkg/shim package
  • Working directory: point to the path of the conf directory, this is where the program loads configuration file from
  • Program arguments: specify the arguments to run the program, such as -kubeConfig=/path/to/.kube/config -interval=1s -clusterId=mycluster -clusterVersion=0.1 -name=yunikorn -policyGroup=queues -logEncoding=console -logLevel=-1. Note, you need to replace /path/to/.kube/config with the local path to the kubeconfig file. And if you want to change or add more options, you can run _output/bin/k8s-yunikorn-scheduler -h to find out.

Once the changes are done, click "Apply", then "Debug". You will need to set proper breakpoints in order to debug the program.

Access remote Kubernetes cluster

This setup assumes you have already installed a remote Kubernetes cluster. For a generic view on how to access a multiple cluster and integrate it follow the accessing multiple clusters documentation from Kubernetes.

Or follow these simplified steps:

  1. get the Kubernetes config file from remote cluster, copy it to the local machine and give it a unique name i.e. config-remote
  2. save the KUBECONFIG environment variable (if set)
  3. add the new file to the environment variable
    export KUBECONFIG=$KUBECONFIG:config-remote
  4. run the command kubectl config view to check that both configs can be accessed
  5. switch context using kubectl config use-context my-remote-cluster
  6. confirm that the current context is now switched to the remote cluster config:
    kubectl config get-contexts
    docker-for-desktop docker-for-desktop-cluster docker-for-desktop
    * my-remote-cluster kubernetes kubernetes-admin

More docs can be found here