Nectar have packaged Jupyter Notebook into the Application Catalogue so you can create your own instance of Jupyter Notebook running in the Nectar Research Cloud.

Although not required, you can provide a Persistent Volume ID when creating the application. This volume will then be used for all user data within the environment. The advantages of this are that the volume storage size can be much larger than what is provided within the application instance, and as the data is stored externally, so the application can be destroyed and recreated and the data can be plugged back in.

For more information, see the Persistent Volume Storage section of the Introduction to Cloud Storage article. Please note that the application must use the same Availability Zone as the persistent volume you use.

To find the ID of your persistent volume, click the Volumes tab on the dashboard and click the desired volume. You can find the ID value here.

Now it's time to create the application. Click the Applications tab, then the Applications sub-tab. If you don't immediately see Jupyter Notebook, just type it into the search field on the right. Once you've found it, click Quick Deploy.

Choose your desired instance flavor (use an m2.small - m2.xlarge), key pair and the Availability Zone which needs to match with the volume we created earlier. Click Next to continue.

Paste in the ID of the volume, if required. Click Next to continue.

In this step, you should provide your desired Username and Password for Jupyter Notebook. You will be prompted for these later once the application has been deployed. Click Next to continue.

The last step allows you to provide a name. You can keep the default, Jupyter Notebook, or supply your own. Click Next to continue. You will then be taken to the Application Environments screen. You'll want to click the Deploy This Environment button to kick off the deployment.

The application is now being deployed. This should take a few minutes.

Jupyter Notebook is now deployed and ready. You should see the Last Operation message appear with the address of your Jupyter Notebook. You can click this link to get started.

Now, log in to Jupyter Notebook with the password you were prompted for earlier.

Success! You can now start working on your notebooks.