The official documentation is available here.
To deploy a full-fledged Kubeflow on Google Cloud Kubernetes cluster, follow steps below.
Kubeflow is deployed as follows
Deploy mangement cluster using the manifests in management.
Deploy Kubeflow cluster using the manifests in kubeflow.
kubeflow/manifests
repository to individual folder's upstream/
directory.Makefile
uses kustomize and kubectl to generate and apply resources.For more information about packages refer to the kpt packages guide
To get a sense of how each Kubeflow components are used together for ML workflow, try a basic example kubeflow-e2e-mnist.ipynb using Notebook in Kubeflow. It will make use of Notebook, Volume, Pipelines, AutoML, KServe components.