Overview

In this lab, you configure Cloud Content Delivery Network (Cloud CDN) for a backend bucket and verify caching of an image. Cloud CDN uses Google's globally distributed edge points of presence to cache HTTP(S) load-balanced content close to your users. Caching content at the edges of Google's network provides faster delivery of content to your users while reducing serving costs.

For an up-to-date list of Google's Cloud CDN cache sites, refer to this documentation: https://cloud.google.com/cdn/docs/locations

Objectives

In this lab, you learn how to perform the following tasks:

• Create and populate a Cloud Storage bucket
• Create an HTTP load balancer with Cloud CDN
• Verify the caching of your bucket's content

For each lab, you get a new Google Cloud project and set of resources for a fixed time at no cost.

1. Sign in to Qwiklabs using an incognito window.

2. Note the lab's access time (for example, 1:15:00), and make sure you can finish within that time.
   There is no pause feature. You can restart if needed, but you have to start at the beginning.

3. When ready, click Start lab.

4. Note your lab credentials (Username and Password). You will use them to sign in to the Google Cloud Console.

5. Click Open Google Console.

6. Click Use another account and copy/paste credentials for this lab into the prompts.
   If you use other credentials, you'll receive errors or incur charges.

7. Accept the terms and skip the recovery resource page.

Task 1. Create and populate a Cloud Storage bucket

Cloud CDN content can originate from two types of backends:

• Google Compute Engine virtual machine (VM) instance groups
• Google Cloud Storage buckets

In this lab, you configure a Cloud Storage bucket as the backend.

Create a unique Cloud Storage bucket

1. In the Cloud Console, on the Navigation menu (), click Cloud Storage > Buckets.
2. Click Create bucket.
3. For the name, enter a globally unique value, and click Continue.
4. For the Location Type, select Region.
5. For the Location, choose a location that is either halfway around the world from you or at least on a different continent. (This provides a greater difference between accessing the image with and without Cloud CDN enabled.)
6. Click Continue, and then click Choose how to control access to objects.
7. Clear Enforce public access prevention on this bucket and select Fine-grained then click Create.

8. Note the name of your storage bucket for the next subtask. It will be referred to as [your-storage-bucket].

Copy an image file into your bucket

Copy an image from a public Cloud Storage bucket to your own bucket.

1. In the Cloud Console, click Activate Cloud Shell ().

2. If prompted, click Continue.

3. Run the following command in Cloud Shell, replacing [your-storage-bucket] with your bucket's name:

gsutil cp gs://cloud-training/gcpnet/cdn/cdn.png gs://[your-storage-bucket]

4. In the Cloud Console, click Refresh Bucket to verify that the image was copied.

5. Publish Cloud Storage image file to the web with following command:

gsutil acl ch -u AllUsers:R gs://[your-storage-bucket]/cdn.png

6. Click on the Public Link under Public access to verify that you can access the image.

7. Exit Cloud Shell:

exit

Click Check my progress to verify the objective. Create and populate a Cloud Storage bucket

Task 2. Create the HTTP load balancer with Cloud CDN

HTTP(S) load balancing provides global load balancing for HTTP(S) requests of static content to a Cloud Storage bucket (backend). When you enable Cloud CDN on your backend, your content is cached at a location at the edge of Google's network, which is usually far closer to the user than your backend is.

Start the HTTP load balancer Configuration

1. In the Cloud Console, on the Navigation menu (), click Network Services > Load balancing.
2. Click Create load balancer.
3. Under HTTP(S) Load Balancing, click Start configuration.
4. For Name, type cdn-lb. Click Continue

Configure the backend

1. Click Backend configuration.
2. For Backend services & backend buckets, click Create a backend bucket.
3. For Name, type cdn-bucket.
4. Click Browse under Cloud Storage bucket.
5. Select your bucket, and click Select.
6. Select Enable Cloud CDN.
7. Click Create.

Configure the frontend

The host and path rules determine how your traffic will be directed. For example, you could direct video traffic to one backend and image traffic to another backend. However, you are not configuring the Host and path rules in this lab.

1. Click Frontend configuration.

2. Specify the following, leaving all other values with their defaults:

   Property	Value (type value or select option as specified)
   Protocol	HTTP
   IP version	IPv4
   IP address	Ephemeral
   Port	80

3. Click Done.

Review and create the HTTP load balancer

1. Click Review and finalize.
2. Review the Backend Buckets and Frontend.
3. Click Create.
   Wait for the load balancer to be created.
4. Click on the name of the load balancer (cdn-lb).
5. Note the IP address of the load balancer for the next task. It will be referred to as [LB_IP_ADDRESS].

Click Check my progress to verify the objective. Create the HTTP Load Balancer with Cloud CDN

Task 3. Verify the caching of your bucket's content

Now that you have created the HTTP load balancer for your bucket and enabled Cloud CDN, it is time to verify that the image is cached on the edge of Google's network.

Time the HTTP request for the image

One way to verify that the image is cached is to time the HTTP request for the image. The first request should take significantly longer, because content is only cached at an edge location after being accessed through that location.

1. In the Cloud Console, click Activate Cloud Shell ().
2. If prompted, click Continue.
3. Store the IP address of the load balancer in an environment variable:

export LB_IP_ADDRESS=<Enter the IP address of the load balancer>

4. Run the following command 3 times for consecutive HTTP requests:

for i in {1..3};do curl -s -w "%{time_total}\n" -o /dev/null http://$LB_IP_ADDRESS/cdn.png; done

The output should look like this (do not copy; this is example output):

1.234357 0.009600 0.006652

Explore the Cloud CDN logs

Another way to verify that the image got cached in the previous step, is to explore the Cloud CDN logs. These logs will contain information on when content was cached and when the cache was accessed.

1. In the Cloud Console, on the Navigation menu (), click Logging > Logs Viewer.
2. Under the Resources filter, select Cloud HTTP Load Balancer > cdn-lb-forwarding-rule > cdn-lb.

3. Expand the first log entry (on top).

4. Within the entry, expand the httpRequest and notice that the cacheLookup is true but there is no cacheHit field.

   This illustrates that the cache did not contain the image on this first request.

5. Expand the jsonPayload and notice that the statusDetails field contains response_sent_by_backend.

   This also illustrates that the image came from the backend bucket on this first request.

6. Close the current log entry and expand a different log entry.

7. Within the entry, expand the httpRequest and notice that the cacheHit is true.

   This illustrates that the cache contained the image on this request.

8. Expand the jsonPayload and notice that the statusDetails field contains response_from_cache.

   This also illustrates that the cache, instead of the backend, provided the image on this request.

Task 4. Review

In this lab, you configured Cloud CDN for a backend bucket by configuring an HTTP load balancer and enabling Cloud CDN with a simple checkbox. You verified the caching of the bucket's content by accessing an image multiple times and exploring the Cloud CDN logs. The first time you accessed the image, it took longer because the cache of the edge location did not contain the image yet. All other requests were quicker because the image was provided from the cache of the edge location closest to your Cloud Shell instance.

For an up-to-date list of Google's Cloud CDN cache sites, refer to this documentation: https://cloud.google.com/cdn/docs/locations

End your lab

When you have completed your lab, click End Lab. Google Cloud Skills Boost removes the resources you’ve used and cleans the account for you.

You will be given an opportunity to rate the lab experience. Select the applicable number of stars, type a comment, and then click Submit.

The number of stars indicates the following:

• 1 star = Very dissatisfied
• 2 stars = Dissatisfied
• 3 stars = Neutral
• 4 stars = Satisfied
• 5 stars = Very satisfied

You can close the dialog box if you don't want to provide feedback.

For feedback, suggestions, or corrections, please use the Support tab.

Manual Last Updated: Sept 14, 2022

Lab Last Tested: Sept 14, 2022

Copyright 2022 Google LLC All rights reserved. Google and the Google logo are trademarks of Google LLC. All other company and product names may be trademarks of the respective companies with which they are associated.