Prerequisites
Set up your environment for deploying Kubeflow on AWS
Kubeflow on AWS provides its own Kubeflow manifests that support integrations with various AWS services that are highly available and scalable. This reduces the operational overhead of maintaining the Kubeflow platform.
If you want to deploy Kubeflow with minimal changes, but optimized for Amazon Elastic Kubernetes Service (Amazon EKS), then consider the vanilla deployment option. The Kubeflow control plane is installed on top of Amazon EKS, which is a managed container service used to run and scale Kubernetes applications in the cloud.
All available deployment options can be installed using Kustomize, Helm, or Terraform.
Note: Terraform deployment options are still in preview.
To take greater advantage of the distribution and make use of the AWS managed services, choose one of the following deployment options according to your organization’s requirements:
Set up your environment for deploying Kubeflow on AWS
Create an EKS cluster before you deploy Kubeflow on AWS using Kustomize or Helm
Deploy the vanilla version of Kubeflow on AWS.
Deploying Kubeflow with RDS and S3
Deploying Kubeflow with AWS Cognito as identity provider
Deploying Kubeflow with Cognito, RDS, and S3
Backup terraform state to AWS S3
Start experimenting and running your end-to-end ML workflows with Kubeflow on AWS
Use AWS IAM roles for service accounts with Kubeflow Profiles
Automatically stop your notebooks based on idleness