ODH Logo

Pre-requisites

pre-requisite notes
GitHub account The project is based on GitHub, if you don’t have one account, just follow this link.
GitHub token If you don’t have a GitHub token, you can create one following GitHub docs: create GitHub token.
Red Hat Openshift Using Operate First you can find a deployed Red Hat Openshift available to Operate First community.
Open Data Hub Using Operate First you can find a community supported Open Data Hub with all tools for Data Science (e.g. JupyterHub, Elyra, Kubeflow Pipelines, Seldon, Prometheus, Grafana, Superset) running on Red Hat Openshift.
Kubernetes namespace Using Operate First you can request access to a namespace where you want to deploy your application using this link. If you have a different environment, you usually receive one by default or you need to ask admins to create a namespace for you.
Cloud object storage Using Operate First you can request a new bucket once you get a namespace. In order to do that, use the following link. Once you created a new bucket in your namespace, you can login in the cluster using the following link and in your namespace you will find AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY in a Secret Object with the bucket name you created and OBJECT_STORAGE_ENDPOINT_URL,OBJECT_STORAGE_BUCKET_NAME in a ConfigMap Object with the bucket name you created. NOTE: You can also use your own bucket credentials and/or other registries accessible publicly. You will need the environment variables `AWSACCESSKEYID,AWSSECRETACCESSKEY,OBJECTSTORAGEENDPOINTURL, andOBJECTSTORAGEBUCKETNAME`.
JupyterLab environment with jupyterlab-requirements library and Elyra Using Operate First, you can login in JupyterHub with your GitHub Account and you can spawn the image called Elyra AIDevSecOpsTutorial. If you use Meteor, it will build a JupyterHub environment for your project from the GitHub repository URL you provide to it. (e.g. this URL).
Kubeflow Pipelines Using Operate First you will find Kubeflow Pipeline deployed and ready for use with Elyra. You can find the Kubeflow Pipeline UI at this link.

Next Step

Setup your initial environment

References