Table of Contents

1. Challenge

   Launch the Lab's CLI Environment

   1. In the AWS console, navigate to Systems Manager.

   2. From the left-hand menu, select Session Manager.

   3. Click Start Session.

   4. Select the only EC2 instance in the list (it should be named ssm-cli-instance), and click Start session.

   5. Verify you are connected to an SSH session. Type the command (and see this response):

      whoami
      ssm-user
      

2. Challenge

   Clone the GitHub Repo onto the EC2 Instance

   This task uses the SSH capability launched in the previous task.

   1. Navigate to the home folder for the current user:

      cd ~
      

   2. Use the git command to clone the repo:

      git clone https://github.com/ACloudGuru-Resources/content-aws-developertools
      

   3. Navigate into the folder containing the resources for this lab:

      cd content-aws-developertools
      cd Deploy-custom-code-with-a-CI_CD-pipline-using-AWS-CodeStar
      

   4. Perform a directory listing to ensure you have the files we need:

      ls -l
      

3. Challenge

   Create an S3 Bucket and Copy the Source Files

   Note: Prior to this task, ensure you have downloaded the resource files for this lab from the lab GitHub page here.

   1. In the AWS console, navigate to S3.
   2. Create a bucket.
   3. Select the bucket you just created.
   4. Select Upload, then Add files, and select the following files:
      • mytoolchain.yml
      • mysrc.zip
4. Challenge

   Use the CLI to Create a AWS CodeStar Project

   This task uses the SSH capability launched in the previous task.

   1. Ensure you are in the folder with the resource files for this lab:

      cd content-aws-developertools
      cd Deploy-custom-code-with-a-CI_CD-pipline-using-AWS-CodeStar
      

   2. Edit the myinput.json file with vi:

      vi myinput.json
      

   3. Replace the placeholder values in the file with the values created so far in this lab:

      • [BUCKET-NAME]: The name of the bucket created earlier in the lab

      • [VPC-ID]: The ID of the VPC within this lab environment

      • [SUBNET-ID]: The ID of one of the subnets within the VPC in this lab environment

      • [AWS-CODESTAR-SERVICE-ROLE]: The role ARN, which is obtained as follows:

        1. In a new tab, navigate to the CodeStar console.
        2. Select Start a project.
        3. In the dialog window, select Yes, create role.
        4. Navigate to the AWS IAM console page.
        5. Select Roles from the left-hand menu.
        6. From the list of roles, select aws-codestar-service-role.
        7. Copy the ARN of the role, and enter it into myinput.json.

      • Save the file in vi with :w and quit with :q.

   4. In the terminal, run the following command to create the AWS CodeStar project:

      aws codestar create-project --cli-input-json file://myinput.json --region us-east-1
      

5. Challenge

   Review the Project and the Deployed Website

   1. In the AWS console, navigate to CodeStar.
   2. Select the Lab Demo project.
   3. Review the project.
   4. Navigate to EC2, locate the lab-demo instance, copy its public IP address, and enter this as an address into your web browser.