{"repo":"aws-samples/aws-do-kubeflow","free":true,"listed":false,"github":"https://github.com/aws-samples/aws-do-kubeflow","clone":"git clone https://github.com/aws-samples/aws-do-kubeflow.git","description":"A do-framework project to simplify deployment of Kubeflow on Amazon EKS","language":"Jupyter Notebook","stars":23,"topics":["do-framework","aws","eks","kubeflow","kubernetes","ml","pipeline","pytorch","workflow"],"license":"MIT-0","category":"machine-learning","readme_excerpt":"AWS do Kubeflow (aws-do-kubeflow) Deploy and Manage Kubeflow on AWS using the do-framework Overview Kubeflow is an open source project which deploys on Kubernetes. It provides end-to-end ML platform and workflow capabilities. There are a number of ways to deploy Kubeflow as well as many variations of Kubeflow that can be deployed. The goal of aws-do-kubeflow is to simplify the deployment and management of Kubeflow on AWS as well as provide some useful ML examples. This project follows the principles of the Do Framework and the structure of the Depend on Docker template. It containerizes all the tools necessary to deploy and manage Kubeflow using Docker, then executes the deployment from within the container. All you need is an AWS Account. For a hands-on experience with Kubeflow and its application for distributed ML training workflows, please see our online workshop and walk through the self-paced workshop steps. Below is an overview diagram that shows the general architecture of a Kubeflow deployment on Amazon EKS. Fig.1 - Deployment Architecture The deployment process is described on Fig. 2 below: Fig.2 - Kubeflow deployment process with aws-do-kubeflow Prerequisites 1) AWS Account - you will need an AWS account 2) EKS Cluster - it is assumed that an EKS cluster already exists in the account. If a cluster is needed, one way to create it, is by following the instructions in the aws-do-eks project. In that case it is recommended to use cluser manifest /eks/eks-kubeflow.yaml ","default_branch":null,"files":null,"tree":[],"storefront":"/r/aws-samples","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/aws-samples/aws-do-kubeflow/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}