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Kubeflow on EKS¤

The Kubeflow project is dedicated to making deployments of machine learning (ML) workflows on Kubernetes simple, portable and scalable. Our goal is not to recreate other services, but to provide a straightforward way to deploy best-of-breed open-source systems for ML to diverse infrastructures. Anywhere you are running Kubernetes, you should be able to run Kubeflow.

This pattern deploys the following resources:

  • Creates EKS Cluster Control plane with public endpoint (for demo purpose only) with a managed node group
  • Deploys supporting add-ons: ClusterAutoScaler, AwsLoadBalancerController, VpcCni, CoreDns, KubeProxy, EbsCsiDriver, CertManagerAddOn, KubeStateMetricsAddOn, PrometheusNodeExporterAddOn, AdotCollectorAddOn, AmpAddOn,
  • Deploy Kubeflow on the EKS cluster

Prerequisites:¤

Ensure that you have installed the following tools on your machine.

  1. aws cli
  2. kubectl
  3. cdk
  4. npm

Deploy EKS Cluster with Amazon EKS Blueprints for CDK¤

Clone the repository

git clone https://github.com/aws-samples/cdk-eks-blueprints-patterns.git

Updating npm

npm install -g npm@latest

To view patterns and deploy kubeflow pattern

make list
cdk bootstrap
make pattern kubeflow deploy

Verify the resources¤

Run update-kubeconfig command. You should be able to get the command from CDK output message. More information can be found at https://aws-quickstart.github.io/cdk-eks-blueprints/getting-started/#cluster-access 

aws eks update-kubeconfig --name <your cluster name> --region <your region> --role-arn arn:aws:iam::xxxxxxxxx:role/kubeflow-blueprint-kubeflowblueprintMastersRole0C1-saJBO

Let’s verify the resources created by Steps above. 

kubectl get nodes # Output shows the EKS Managed Node group nodes

kubectl get ns | kubeflow # Output shows kubeflow namespace

kubectl get pods --namespace=kubeflow-pipelines  # Output shows kubeflow pods

Execute Machine learning jobs on Kubeflow¤

log into Kubeflow pipeline UI by creating a port-forward to the ml-pipeline-ui service

kubectl port-forward svc/ml-pipeline-ui 9000:80 -n =kubeflow-pipelines
and open this browser: http://localhost:9000/#/pipelines more pipeline examples can be found at https://www.kubeflow.org/docs/components/pipelines/legacy-v1/tutorials/

Cleanup¤

To clean up your EKS Blueprints, run the following commands:

cdk destroy kubeflow-blueprint

Disclaimer¤

This pattern relies on an open source NPM package eks-blueprints-cdk-kubeflow-ext. Please refer to the package npm site for more information. https://www.npmjs.com/package/eks-blueprints-cdk-kubeflow-ext