.. _install/amazon:

=================================
Installing on Amazon Web Services
=================================

Goal
====

To have a JupyterHub with admin users and a user environment with conda / pip packages.

Prerequisites
=============

#. An Amazon Web Services account.

   The `AWS free tier <https://aws.amazon.com/free/>`_ is fully
   capable of running a minimal littlest Jupyterhub for testing purposes. 

   If asked to choose a default region, choose the one closest to the majority 
   of your users.

Step 1: Installing The Littlest JupyterHub
==========================================

Let's create the server on which we can run JupyterHub.

#. Go to `Amazon Web Services <https://aws.amazon.com/>`_ and click the gold 
   button 'Sign In to the Console' in the upper right. Log in with your Amazon Web 
   Services account.
   
   If you need to adjust your region from your default, there is a drop-down 
   menu between your name and the **Support** menu on the far right of the dark 
   navigation bar across the top of the window. Adjust the region to match the
   closest one to the majority of your users.

#. On the screen listing all the availabe services, pick **EC2** under **Compute** 
   on the left side at the top of the first column. 
   
   .. image:: ../images/providers/amazon/compute_services.png
      :alt: Select EC2
   
   This will take you to the **EC2 Management Console**.

#. From the navigation menu listing on the far left side of the **EC2 Management 
   Console**, choose **Instances** under the light gray **INSTANCES** sub-heading.

   .. image:: ../images/providers/amazon/instances_from_console.png
      :alt: Select Instances from console

#. In the main window of the **EC2 Management Console**, towards the top left, 
   click on the bright blue **Launch Instance** button.
   
   .. image:: ../images/providers/amazon/launch_instance_button.png
      :alt: Click launch instance
   
   This will start the 'launch instance wizard' process.  This lets you customize
   the kind of server you want, the resources it will have and its name.
   
   
#. On the page **Step 1: Choose an Amazon Machine Image (AMI)** you are going 
   to pick the base image your remote server will have. The view will 
   default to the 'Quick-start' tab selected and just a few down the page, select 
   **Ubuntu Server 18.04 LTS (HVM), SSD Volume Type - ami-XXXXXXXXXXXXXXXXX**.
   
   .. image:: ../images/providers/amazon/select_ubuntu_18.png
      :alt: Click Ubuntu server 18.04
   
   The `ami` alpha-numeric at the end references the specific Amazon machine 
   image, ignore this as Amazon updates them routinely. The 
   **Ubuntu Server 18.04 LTS (HVM)** is the important part.
   
   
#. After selecting the AMI, you'll be at **Step 2: Choose an Instance Type**.
   
   There will be a long listing of the types and numbers of CPUs that Amazon 
   offers. Select the one you want and then select the button 
   `Next: Configure Instance Details` in the lower right corner.  
   
   Check out our guide on How To :ref:`howto/admin/resource-estimation` to help pick
   how much Memory / CPU your server needs. You need to have at least **768MB** of
   RAM.
   
   You may wish to consult the listing `here <https://www.ec2instances.info/>`_ 
   because it shows cost per hour. The **On Demand** price is the pertinent cost.
   
   (For reference, a minimal hub that worked for developing this tutorial used a
   **t2.micro** tier, which is free for Amazon users the first year they sign
   up. Two users were able to concurrently utilize this development hub without issue.)
   
   ``GPU graphics`` and ``GPU compute`` products are also available around half way down the page
   
#. Under **Step 3: Configure Instance Details**, scroll to the bottom of the page 
   and toggle the arrow next to **Advanced Details**. Scroll down to 'User data'. Copy 
   the text below, and paste it into the **User data** text box. Replace
   ``<admin-user-name>`` with the name of the first **admin user** for this
   JupyterHub. This admin user can log in after the JupyterHub is set up, and
   configure it. **Remember to add your username**!

   .. code-block:: bash

       #!/bin/bash
       curl https://raw.githubusercontent.com/jupyterhub/the-littlest-jupyterhub/master/bootstrap/bootstrap.py \
         | sudo python3 - \
           --admin <admin-user-name>

   .. image:: ../images/providers/amazon/script_in_user_data.png
      :alt: Install JupyterHub with the script in the User data textbox

   .. note::

      See :ref:`topic/installer-actions` for a detailed description and 
      :ref:`topic/customizing-installer` for other options that can be used.
   
#. Under **Step 4: Add Storage**, you can change the **size** and **type of your 
   disk by adjusting the value in **Size (GiB)** and selecting **Volume Type**.
   
   .. image:: ../images/providers/amazon/change_size_type.png
      :alt: Selecting disk size and type
   
   Check out :ref:`howto/admin/resource-estimation` to help pick
   how much Disk space your server needs.
   
   Hover over the encircled `i` next to **Volume Type** for an explanation of
   each. Leaving the default as is is fine. `General Purpose SSD (gp2)` is 
   recommended for most workloads. With  `Provisioned IOPS SSD (io1)` being the 
   highest-performance SSD volume. Magnetic (standard) is a previous generation 
   volume and not suited for a hub for multi-users.
   
   When finished, click **Next: Add Tags** in the bottom right corner.
   
#. Under **Step 5: Add Tags**, click **Add Tag** and enter **Name** under the 
   **Key** field. In the **Value** field in the **Name** row, give your new 
   server a memorable name that identifies what purpose this JupyterHub will be 
   used for.
   
   .. image:: ../images/providers/amazon/name_hub.png
      :alt: Use tags to name the hub.

#. Under **Step 6: Configure Security Group**, you'll set the firewall rules 
   that control the traffic for your instance. Specifically you'll want to add 
   rules can add rules to allow both **HTTP Traffic** and **HTTPS Traffic**. For 
   advanced troubleshooting, it will be helpful to set rules so you can use 
   SSH to connect (port 22). 
   
   If you have never used your Amazon account before, you'll have to select 
   **Create a new security group**. You should give it a disitnguishing name 
   under **Security group name**
   such as `ssh_web` for future reference. If you have, one from before you can 
   select it and adjust it to have the rules you need, if you prefer.
   
   The rules will default to include `SSH`. Leave that there, and then click on 
   the **Add Rule** button. Under **Type** for the new rule, change the field 
   to **HTTP**. The other boxes will get filled in appropritely. Again, click on 
   the **Add Rule** button. This time under **Type** for the new rule, change 
   the field to **HTTPS**.
   
   The warning is there to remind you this opens things up to some degree but 
   this is necessary in order to let your users connect. However, this warning 
   is a good reminder that you should monitor your server to insure it is 
   available for users who may need it.
   
   .. image:: ../images/providers/amazon/set_security_groups.png
      :alt: Allow HTTP & HTTPS traffic to your server
   
#. When the security rules are set, click on the blue button in the bottom 
   right **Review and Launch**. This will give you a chance to review things 
   because very soon you'll be launching and start paying for any resources you 
   use.
   
   Note that you'll see two HTTP listings and two HTTPS listings under 
   **Security Groups** even though you only made one for each. This is normal &
   necessary to match both IPv4 & IPv6 types of IP addresses.
   
   When you are happy, press the blue **Launch** button in the bottom right 
   corner to nearly conclude your journey through the instance launch wizard.
   
   .. image:: ../images/providers/amazon/finally_launch.png
      :alt: Launch your server
   
#. In the dialog box that pops up as the last step before launching is 
   triggered, you need to choose what to do about an identifying key pair and 
   acknowledge your choice in order to proceed. If you already have a key pair you 
   can select to associate it with this instance, otherwise you need to 
   **Create a new key pair**. Choosing to `Proceed with a key pair` is not 
   recommended as you'll have no way to access your server via SSH if anything
   goes wrong with the Jupyterhub and have no way to recover files via download.
   
   Download and keep the key pair file unless you are associating one you already 
   have.
   
   .. image:: ../images/providers/amazon/create_key_pair.png
      :alt: Associate key pair
   
#. With the key pair associated, click the **Launch instances** button to 
   start creating the server that'll run TLJH.
   
   .. image:: ../images/providers/amazon/launch_now.png
      :alt: Trigger actual launch
   
   
#. Following the launch initiation, you'll be taken to a **Launch Status** 
   notification screen. You can see more information about the details if you 
   click on the alphanumeric link to the launching instance following the text, 
   "`The following instance launches have been initiated:`".
   
   .. image:: ../images/providers/amazon/launch_status_screen.png
      :alt: Launch status notice
   
#. That link will take you back to the **EC2 Management Console** with settings
   that will limit the view in the console to just that instance. (Delete the 
   filter in the search bar if you want to see any other instances you may 
   have.) At first the server will be starting up, and then when the 
   **Instance state** is green the server is running.
   
   .. image:: ../images/providers/amazon/running_server.png
      :alt: Server is running.
   
   If you already have instances running in your account, the screen will look
   different if you disable that filter. But you want to pay attention to the 
   row with the name of the server you made.
   
#. In a few seconds your server will be created, and you can see the 
   **Public IP** used to access it in the panel at the bottom of the console. 
   If it isn't displayed, click on the row for that instance in the console. It 
   will look like a pattern similar to **12.30.230.127**.
   
   .. image:: ../images/providers/amazon/public_ip.png
      :alt: public IP
   
#. The Littlest JupyterHub is now installing in the background on your new 
   server. It takes around 10 minutes for this installation to complete.

#. Check if the installation is complete by copying the **Public IP**
   of your server, and trying to access it from within a browser. If it has been 
   10 minutes, paste the public IP into the URL bar of your browser and hit 
   return to try to connect. 
   
   Accessing the JupyterHub will fail until the installation is complete,
   so be patient.  The next step below this one shows the login window you are 
   expecting to see when trying the URL and things work. 
   While waiting until the appropriate time to try, another way to check if 
   things are churning away, is to open the **System Log**. To do this, go to 
   the **EC2 Management Console** & highlight the instance by clicking on that 
   row and then right-click **Instance Settings** > **Get System Log**.
   
   .. image:: ../images/providers/amazon/get_system_log.png
      :alt: Getting system log.
   
#. When the Jupyterhub creation process finishes and the hub is ready to show 
   the login, the **System Log** should look similar to the image below. Scroll to 
   the bottom of your output from the previous step.
   Note the line **Starting TLJH installer**, you may also see **Started jupyterhub.service**

   .. image:: ../images/providers/amazon/completed_system_log.png
      :alt: Completed system log
   
#. When the installation is complete, it should give you a JupyterHub login page.
   
   .. image:: ../images/first-login.png
      :alt: JupyterHub log-in page
   
#. Login using the **admin user name** you used in step 7, and a password. Use a
   strong password & note it down somewhere, since this will be the password for
   the admin user account from now on.
   
#. Congratulations, you have a running working JupyterHub!

Step 2: Adding more users
==========================

.. include:: add_users.txt

Step 3: Install conda / pip packages for all users
==================================================

.. include:: add_packages.txt
