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HTTPS Content-Based Load Balancer with Terraform

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HTTPS Content-Based Load Balancer with Terraform

1 hour 7 Credits

GSP206

Google Cloud Self-Paced Labs

Overview

In this lab, you will create an HTTPS load balancer to forward traffic to a custom URL map. The URL map sends traffic to the region closest to you with static assets being served from a Cloud Storage bucket. The TLS key and certificate is generated by Terraform using the TLS provider.

The following is a diagram of the architecture you will be creating:

HTTPS Content-Based Load Balancer with Terraform Architecture

Objectives

In this lab, you will:

  • Learn about the load balancing modules for Terraform
  • Configure Terraform in the Google Cloud environment
  • Create a global HTTPS Content-Based Load Balancer

Setup and Requirements

Before you click the Start Lab button

Read these instructions. Labs are timed and you cannot pause them. The timer, which starts when you click Start Lab, shows how long Google Cloud resources will be made available to you.

This hands-on lab lets you do the lab activities yourself in a real cloud environment, not in a simulation or demo environment. It does so by giving you new, temporary credentials that you use to sign in and access Google Cloud for the duration of the lab.

What you need

To complete this lab, you need:

  • Access to a standard internet browser (Chrome browser recommended).
  • Time to complete the lab.

Note: If you already have your own personal Google Cloud account or project, do not use it for this lab.

Note: If you are using a Chrome OS device, open an Incognito window to run this lab.

How to start your lab and sign in to the Google Cloud Console

  1. Click the Start Lab button. If you need to pay for the lab, a pop-up opens for you to select your payment method. On the left is a panel populated with the temporary credentials that you must use for this lab.

    Open Google Console

  2. Copy the username, and then click Open Google Console. The lab spins up resources, and then opens another tab that shows the Sign in page.

    Sign in

    Tip: Open the tabs in separate windows, side-by-side.

  3. In the Sign in page, paste the username that you copied from the left panel. Then copy and paste the password.

    Important: You must use the credentials from the left panel. Do not use your Google Cloud Training credentials. If you have your own Google Cloud account, do not use it for this lab (avoids incurring charges).

  4. Click through the subsequent pages:

    • Accept the terms and conditions.
    • Do not add recovery options or two-factor authentication (because this is a temporary account).
    • Do not sign up for free trials.

After a few moments, the Cloud Console opens in this tab.

Activate Cloud Shell

Cloud Shell is a virtual machine that is loaded with development tools. It offers a persistent 5GB home directory and runs on the Google Cloud. Cloud Shell provides command-line access to your Google Cloud resources.

In the Cloud Console, in the top right toolbar, click the Activate Cloud Shell button.

Cloud Shell icon

Click Continue.

cloudshell_continue.png

It takes a few moments to provision and connect to the environment. When you are connected, you are already authenticated, and the project is set to your PROJECT_ID. For example:

Cloud Shell Terminal

gcloud is the command-line tool for Google Cloud. It comes pre-installed on Cloud Shell and supports tab-completion.

You can list the active account name with this command:

gcloud auth list

(Output)

Credentialed accounts: - <myaccount>@<mydomain>.com (active)

(Example output)

Credentialed accounts: - google1623327_student@qwiklabs.net

You can list the project ID with this command:

gcloud config list project

(Output)

[core] project = <project_ID>

(Example output)

[core] project = qwiklabs-gcp-44776a13dea667a6

Task 1. Install Terraform

Your Cloud Shell comes prepackaged with Terraform but you will install it to ensure you have the correct version for the example code in this lab.

  1. Download and unzip Terraform:

curl -O https://releases.hashicorp.com/terraform/0.13.0/terraform_0.13.0_linux_amd64.zip unzip terraform_0.13.0_linux_amd64.zip
  1. Move the executable into your bin folder:

sudo mv terraform /usr/local/bin/

Task 2. Clone the sample repository

  1. In Cloud Shell, clone the terraform-google-lb-http repository:

git clone https://github.com/GoogleCloudPlatform/terraform-google-lb-http.git
  1. Navigate to the multi-backend-multi-mig-bucket-https-lb directory:

cd ~/terraform-google-lb-http/examples/multi-backend-multi-mig-bucket-https-lb

Task 3. Run Terraform

Initialize a working directory

The terraform init command is used to initialize a working directory containing Terraform configuration files. This command performs several different initialization steps to prepare a working directory for use. This command is always safe to run multiple times, to bring the working directory up to date with changes in the configuration.

  1. Run the command:

terraform init

Example Output (do not copy):

... Terraform has been successfully initialized!

Create an execution plan

The terraform plan command is used to create an execution plan. Terraform performs a refresh, unless explicitly disabled, and then determines what actions are necessary to achieve the desired state specified in the configuration files.

This command is a convenient way to check whether the execution plan for a set of changes matches your expectations without making any changes to real resources or the state. For example, terraform plan might be run before committing a change to version control, to create confidence that it will behave as expected.

  1. Run the terraform plan command.

  2. Make sure to replace <PROJECT_ID> with your Qwiklabs provided Project ID:

terraform plan -out=tfplan -var 'project=<PROJECT_ID>'

Example Output (do not copy):

... Plan: 42 to add, 0 to change, 0 to destroy.

The optional -out argument can be used to save the generated plan to a file for later execution with terraform apply.

  1. List out current directory content. You will see the saved Terraform plan (tfplan):

ls

Example Output (do not copy):

diagram.png gceme.sh.tpl gcp-logo.svg main.tf mig.tf outputs.tf README.md test.sh tfplan tls.tf variables.tf

Apply the changes

The terraform apply command is used to apply the changes required to reach the desired state of the configuration, or the pre-determined set of actions generated by a terraform plan execution plan.

  1. Apply the Terraform plan:

terraform apply tfplan

Example Output (your's will differ):

... Apply complete! Resources: 42 added, 0 changed, 0 destroyed. ... Outputs: asset-url = https://34.96.112.153/assets/gcp-logo.svg group1_region = us-west1 group2_region = us-central1 group3_region = us-east1 load-balancer-ip = 34.96.112.153

Verify the resources created by Terraform:

  1. In the Navigation menu navigate to Network services > Load Balancing.

  2. Wait until you see the green checkmark in the Backends column.

  3. Click on ml-bk-ml-mig-bkt-s-lb load balancer and check the details.

Load Balancer Frontend Details

Load Balancer Backend Details

  1. Run the following to get the external URL:

EXTERNAL_IP=$(terraform output | grep load-balancer-ip | cut -d = -f2 | xargs echo -n) echo https://${EXTERNAL_IP}
  1. Click on the EXTERNAL_IP link that is returned to open the load balancer URL in a new browser tab.
Note: If you don't get the expected output in the browser, make sure your load balancer details panel is the same as an above screenshot and wait for few minutes.

You should see the Google Cloud logo and instance details from the group closest to your geographical region.

Webpage showing Google Cloud logo and instance details

Click Check my progress to verify the objective. Apply the changes in Terraform

  1. Now append the URL with group1, group2 and group3.

Your final URLs should look like (make sure to replace EXTERNAL_IP with your load balancer IP):https://EXTERNAL_IP/group1

  • For group1: You should see the Google Cloud logo and instance details from the group in us-west1.

Example Output:

Webpage showing Google Cloud logo and instance details from the group in us-west1

https://EXTERNAL_IP/group2

  • For group2: You should see the Google Cloud logo and instance details from the group in us-central1.

Example Output:

Webpage showing Google Cloud logo and instance details from the group in us-central1

https://EXTERNAL_IP/group3

  • For group3: You should see the Google Cloud logo and instance details from the group in us-east1.

Example Output:

Webpage showing Google Cloud logo and instance details from the group in us-east1

Congratulations!

In this lab, you learned how to configure load balancing modules in Terraform. You then used the modules to create a global HTTPS Content-Based Load Balancer, and used it to test its response to the group closest to your geographical region.

Terraform quest badge

Finish Your Quest

This self-paced lab is part of the Managing Cloud Infrastructure with Terraform Quest. A Quest is a series of related labs that form a learning path. Completing this Quest earns you the badge above, to recognize your achievement. You can make your badge public and link to them in your online resume or social media account. Enroll in this Quest and get immediate completion credit if you've taken this lab. See other available Qwiklabs Quests.

Take Your Next Lab

Continue your Quest with Modular Load Balancing with Terraform - Regional Load Balancer, or check out these suggestions:

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Manual Last Updated January 04, 2022

Lab Last Tested January 04, 2022

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