{0xc00044b600 0xc0004cf0c0} Install Kubeflow :: Distributed training with Amazon SageMaker / Amazon EKS Workshop

Install Kubeflow

Download the kfctl CLI tool

curl --silent --location https://github.com/kubeflow/kubeflow/releases/download/v0.7.0-rc.6/kfctl_v0.7.0-rc.5-7-gc66ebff3_linux.tar.gz | tar xz

sudo mv kfctl /usr/local/bin

Get the latest Kubeflow configuration file

export CONFIG='https://raw.githubusercontent.com/kubeflow/manifests/v0.7-branch/kfdef/kfctl_aws.0.7.0.yaml'

Create environment and local variables

CLUSTER_NAME=$(eksctl get cluster --output=json | jq '.[0].name' --raw-output)

INSTANCE_ROLE_NAME=$(eksctl get iamidentitymapping --name ${CLUSTER_NAME} --output=json | jq '.[0].rolearn' --raw-output | sed -e 's/.*\///')

Make sure that both environment variables are set before proceeding. Confirm by running echo $CLUSTER_NAME and echo $INSTANCE_ROLE_NAME. Make sure that these are not empty.

Add your S3 bucket name below:

export BUCKET_NAME=<your_bucket>

Stop: Verify that you have the correct bucket name before proceeding.

export KF_DIR=$PWD/${KF_NAME}

Build your configuration files

We’ll edit the configuration with the right names for the cluster and node groups before deploying Kubeflow.

mkdir -p ${KF_DIR}
cd ${KF_DIR}
kfctl build -V -f ${CONFIG}
export CONFIG_FILE=${KF_DIR}/kfctl_aws.0.7.0.yaml

Edit the configuration file to include the correct instance role name and cluster name

sed -i "s@eksctl-kubeflow-aws-nodegroup-ng-a2-NodeInstanceRole-xxxxxxx@$INSTANCE_ROLE_NAME@" ${CONFIG_FILE}

sed -i "s@kubeflow-aws@$CLUSTER_NAME@" ${CONFIG_FILE}

Apply the changes and deploy Kubeflow

cd ${KF_DIR}
rm -rf kustomize/
kfctl apply -V -f ${CONFIG_FILE}

Wait for resource to become available

Monitor changes by running kubectl get all namespaces command.

kubectl -n kubeflow get all