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Update opf jupyterhub links #30

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Update opf jupyterhub links #30

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4 changes: 2 additions & 2 deletions docs/blog/diagnosis-discovery-blog.md
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Expand Up @@ -116,14 +116,14 @@ Since we are able to automatically extract meaningful symptoms and patterns with

[8] [GitHub Repository](https://github.com/aicoe-aiops/openshift-anomaly-detection)

[9] [Operate First JupyterHub](https://jupyterhub-opf-jupyterhub.apps.zero.massopen.cloud/)
[9] [Operate First JupyterHub](https://jupyterhub-opf-jupyterhub.apps.smaug.na.operate-first.cloud)


### Project Material

#### Steps to get you started:

1. Visit https://jupyterhub-opf-jupyterhub.apps.zero.massopen.cloud
1. Visit https://jupyterhub-opf-jupyterhub.apps.smaug.na.operate-first.cloud
2. Login with your google account
3. In this Spawn screen, select `openshift-anomaly-detection:latest`
4. Once your server starts, go into the directory named `openshift-anomaly-detection-yyyy-mm-dd-hh-mm`
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4 changes: 2 additions & 2 deletions docs/get-started.md
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Expand Up @@ -5,9 +5,9 @@ The Jupyter notebooks in this project are intended to be comprehensive, end-to-e

## Launch Project and Run Notebooks via JupyterHub

To make the notebooks reproducible and executable by everyone, we have containerized and deployed them on the public [JupyterHub](https://jupyterhub-opf-jupyterhub.apps.zero.massopen.cloud) instance on the [Massachusetts Open Cloud](https://massopen.cloud/) (MOC). So you can get access to a Jupyter environment and run our notebooks in just a few clicks! To do so, please follow the steps below:
To make the notebooks reproducible and executable by everyone, we have containerized and deployed them on the public [JupyterHub](https://jupyterhub-opf-jupyterhub.apps.smaug.na.operate-first.cloud) instance on the [Massachusetts Open Cloud](https://massopen.cloud/) (MOC). So you can get access to a Jupyter environment and run our notebooks in just a few clicks! To do so, please follow the steps below:

1. Visit our [JupyterHub](https://jupyterhub-opf-jupyterhub.apps.zero.massopen.cloud), click on `Log in with moc-sso` and sign in using your Google Account.
1. Visit our [JupyterHub](https://jupyterhub-opf-jupyterhub.apps.smaug.na.operate-first.cloud), click on `Log in with moc-sso` and sign in using your Google Account.
2. On the spawner page, select `OpenShift Anomaly Detection Notebook Image` for notebook image, `Large - Memory Intensive` for container size, and then click `Start server` to spawn your server.
3. Once your server has spawned, you should see a directory titled `openshift-anomaly-detection-<current-timestamp>`. All the notebooks should be available inside the `notebooks` directory in it for you to explore.

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