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cleaning up some language and adding more wording to the DO resize step
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@@ -118,16 +118,38 @@ Step 3: Install conda / pip packages for all users
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.. include:: add_packages.txt
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.. _digitalocean/resize:
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Step 4: Resizing and editing the droplet
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========================================
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#. As you are using your JupyterHub, you may find that you need more memory,
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disk space, or CPUs. Digital Ocean servers can be resized in the
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"Resize Droplet" panel.
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As you use your JupyterHub, you may find that you need more memory,
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disk space, or CPUs. Digital Ocean servers can be resized in the
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"Resize Droplet" panel. These instructions take you through the process.
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#. First, click on the name of your newly-created
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Droplet to enter its configuration page.
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#. Next, **turn off your Droplet**. This allows DigitalOcean to make
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modifications to your VM. This will shut down your JupyterHub (temporarily).
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.. image:: ../images/providers/digitalocean/power-off.png
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:alt: Power off your Droplet
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:width: 200px
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#. Once your Droplet has been turned off, click "Resize",
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which will take you to a menu with options to resize your VM.
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.. image:: ../images/providers/digitalocean/resize-droplet.png
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:alt: Resize panel of digital ocean
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Further information on making more resources available to TLJH and verifying resource
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availability can be found in the How-To :ref:`howto/admin/resize`.
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#. Decide what kinds of resources you'd like to resize, then click on a new VM
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type in the list below. Finally, click "Resize". This may take a few moments!
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#. Once your Droplet is resized, **turn your Droplet back on**. This makes your JupyterHub
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available to the world once again. This will take a few moments to complete.
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Now that you've resized your Droplet, you may want to change the resources available
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to your users. Further information on making more resources available to
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users and verifying resource availability can be found in :ref:`howto/admin/resize`.
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