Amazon Web Services(AWS)

First, sign up for free AWS credits for students: https://www.awseducate.com/registration

Then, watch this introduction video to Cloud Computing that explains its history and significant importance in a variety of Industries: https://fireship.io/lessons/cloud-computing-in-2020/

Then, follow one of these two guides to create a virtual machine in AWS:

• Video version: https://www.youtube.com/watch?v=bgPuPSPZe2U
• Written version: https://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/EC2_GetStarted.html

Make sure when you’re selecting the type of your virtual machine, you choose one labeled Free Tier eligible. Amazon provides free credits for this type of machine.

Once you’ve got your virtual machine running, connect to it:

• If you created a Windows virtual machine on AWS, you’ll need to use Remote Desktop.

(If your personal computer is a Mac or Linux, you’ll need to install the Remote Desktop app to connect. If you’re using Windows, Remote Desktop is pre-installed on your computer.)

• If you created an Ubuntu or other Linux virtual machine, you’ll need to use SSH.

(You’ll need to do this from the command line. Mac and Linux have SSH built-in, but Windows may require the Windows Terminal as described in the “Setting up your development environment” section of the guide.)

After you’ve connected to your VM, take a screenshot and upload it to Imgur, and submit that link in your dashboard.

WHEN YOU’RE DONE, GO INTO THE AWS CONSOLE FOR YOUR VM AND CLICK “TERMINATE”. If you don’t do this step you may be charged for your VM.

🎓 What if I already know AWS?

Please pick assignments for aspects of your tech stack which you don’t already know.

If you can demonstrate that you already know all aspects of your tech stack, please contact us on Slack.

❓ What if I need help with AWS?

You can ask for help in #ask-for-help or schedule a CSE session.

✅ Where do I submit?

After completing this assignment, submit a link to your Github/Repl.it/Codepen using the form on your participant dashboard by logging in at https://labs.codeday.org/dash