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@@ -117,3 +117,51 @@ Step 3: Install conda / pip packages for all users
 ==================================================
 
 .. include:: add_packages.txt
+
+Step 4: Resizing and editing the droplet
+========================================
+
+#. As you are using your JupyterHub, you may find that you need more memory, 
+   disk space, or CPUs. Digital Ocean servers can be resized in the 
+   "Resize Droplet" panel.
+
+   .. image:: ../images/providers/digitalocean/resize-droplet.png
+      :alt: Resize panel of digital ocean
+
+#. You will need to tell the JupyterHub to make use of these new resources.
+   To accomplish this, you will follow the instructions in :ref:`topic/tljh-config` 
+   to set memory limits and reload the hub. This can be completed using the terminal
+   in the JupyterHub, as in Step 3. It can also be completed through the Digital Ocean
+   console.
+
+#. TLJH configuration options can be verified by viewing the tljh-config output.
+
+   .. code-block:: bash
+
+      sudo tljh-config show
+
+
+#. If you have changed your memory availability successfully, this will be reflected 
+   in the `nbresuse <https://github.com/yuvipanda/nbresuse>`_ extension in the upper-right 
+   when you open a Jupyter notebook on the Hub.
+
+   .. image:: ../images/nbresuse.png
+      :alt: nbresuse demonstration
+
+#. If you have changed the number of cores, this can be verified at the command line. 
+   ``nproc`` displays the number of available cores, and should be equal to the 
+   number of cores you selected in the "Resize Droplet" panel.
+
+   .. code-block:: bash
+
+      nproc --all
+
+
+#. Disk space changes can be verified, as well. The ``df`` command shows how much disk 
+   space is available. The ``-hT`` argument allows us to have this printed in a human readable
+   format, and condenses the output to show one storage volume. 
+
+   .. code-block:: bash
+
+      df -hT /home
+