Install Kubeflow v1.3

Note: To install locally, you can simply install and enable the .

This guide lists the steps necessary to install Kubeflow on any conformant Kubernetes, including AKS, EKS, GKE, Openshift and any kubeadm-deployed cluster, provided that you have access to it via kubectl.

Screenshot from 2021-03-01 17-03-07

1. Install the Juju client

On Linux, install juju via with the following command:

snap install juju --classic

Alternatively, brew install juju on macOS or .

2. Connect Juju to your Kubernetes cluster

In order to operate workloads in your Kubernetes cluster with Juju, you have to add your cluster to the list of clouds in juju via the add-k8s command.

If your Kubernetes config file is in the standard location (~/.kube/config on Linux), and you only have one cluster, you can simply run:

juju add-k8s myk8s

If your kubectl config file contains multiple clusters, you can specify the appropriate one by name:

juju add-k8s myk8s --cluster-name=foo

Finally, to use a different config file, you can set the KUBECONFIG environment variable to point to the relevant file. For example:

KUBECONFIG=path/to/file juju add-k8s myk8s

For more details, see the .

3. Create a controller

To operate workloads on your Kubernetes cluster, Juju uses controllers. You can create a controller with the bootstrap command:

juju bootstrap myk8s my-controller

This command will create a couple of pods under the my-controller namespace. You can see your controllers with the juju controllers command.

You can read more about controllers in the .

4. Create a model

A model in Juju is a blank canvas where your operators will be deployed, and it holds a 1:1 relationship with a Kubernetes namespace.

You can create a model and give it a name, e.g. kubeflow, with the add-model command, and you will also be creating a Kubernetes namespace of the same name:

juju add-model kubeflow

You can list your models with the juju models command.

5. Deploy Kubeflow

Requirements: The minimum resources required to deploy kubeflow are: 50Gb disk space, 14Gb RAM and 2 CPUs available to your Linux machine or VM.
If you have fewer resources, please deploy kubeflow-lite or kubeflow-edge.

Once you have a model, you can simply juju deploy any of the provided into your cluster, prepending with cs:. For the Kubeflow lite bundle, run:

juju deploy cs:kubeflow-lite

Congratulations, Kubeflow is now installing !

You can observe your Kubeflow deployment getting spun-up with the command:

watch -c juju status --color

6. Set URL in authentication methods

A final step to enable your Kubeflow dashboard access is to provide your dashboard public URL to dex-auth and oidc-gatekeeper via the following commands:

juju config dex-auth public-url=https://<URL>
juju config oidc-gatekeeper public-url=https://<URL>

Where <URL> is the hostname that the Kubeflow dashboard responds to. For example, in a typical MicroK8s installation this URL is https://10.64.140.43.nip.io.

7. Add RBAC role

Currently, in order to setup Kubeflow with Istio correctly when RBAC is enabled, you need to provide the istio-ingressgateway operator access to Kubernetes resources. The following command will create the appropriate role:

kubectl patch role -n kubeflow istio-ingressgateway-operator -p '{"apiVersion":"rbac.authorization.k8s.io/v1","kind":"Role","metadata":{"name":"istio-ingressgateway-operator"},"rules":[{"apiGroups":["*"],"resources":["*"],"verbs":["*"]}]}'

Alternatively, follow the video guide

Having issues?

If you face any difficulties following these instructions, please create an issue .


Last updated a month ago.

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