| 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. |
| 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 AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, OBJECT_STORAGE_ENDPOINT_URL, and OBJECT_STORAGE_BUCKET_NAME. |
| 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. |
This repository has been archived by the owner on Jun 7, 2023. It is now read-only.