As a cloud professional, you may already be familiar with Azure Identity and Access Management (IAM) architecture and have experience in following some of their best practices. In terms of IAM, some of the general concerns are as follows:

• What are the best ways to manage access to resources?
• How can you give users access to only the resources that they actually need?

In Azure, your organization uses a combination of IAM, Azure Active Directory (Azure AD), users, and roles with attached policies to control access to the different Azure accounts.

Azure AD is a multi-tenant cloud-based directory and identity management service that provides access control and management for Azure resources.

Now you will explore how you would implement IAM control in Google Cloud.

Overview

In this lab, you learn how to use the Service Account User role and how to grant roles.

Objectives

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

• Use IAM to implement access control
• Restrict access to specific features or resources
• Use the Service Account User role

Lab setup

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

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 the Lab Details panel with the following:

   • The Open Google Cloud console button
   • Time remaining
   • The temporary credentials that you must use for this lab
   • Other information, if needed, to step through this lab

2. Click Open Google Cloud console (or right-click and select Open Link in Incognito Window if you are running the Chrome browser).

   The lab spins up resources, and then opens another tab that shows the Sign in page.

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

   Note: If you see the Choose an account dialog, click Use Another Account.

3. If necessary, copy the Username below and paste it into the Sign in dialog.

   {{{user_0.username | "Username"}}}

   You can also find the Username in the Lab Details panel.

4. Click Next.

5. Copy the Password below and paste it into the Welcome dialog.

   {{{user_0.password | "Password"}}}

   You can also find the Password in the Lab Details panel.

6. Click Next.

   Important: You must use the credentials the lab provides you. Do not use your Google Cloud account credentials. Note: Using your own Google Cloud account for this lab may incur extra charges.

7. 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 Google Cloud console opens in this tab.

Note: To view a menu with a list of Google Cloud products and services, click the Navigation menu at the top-left, or type the service or product name in the Search field.

Task 1. Setup for two users

Sign in to the Cloud console as the first user

1. This lab provisions you with two user names available in the Connection Details dialog. Sign in to the Cloud console in an Incognito window as usual with the Username 1 provided in Qwiklabs. Note that both user names use the same single password.

Sign in to the Cloud console as the second user

1. Open another tab in your incognito window.
2. Browse to console.cloud.google.com.
3. Click on the user icon in the top-right corner of the screen, and then click Add account.
4. Sign in to the Cloud console with the Username 2 provided in Qwiklabs.

Note: At some points in this lab, if you sign out of the Username 1 account, the Username 2 account is deleted by Qwiklabs. So remain signed in to Username 1 until you are done using Username 2.

Task 2. Explore the IAM console

Make sure you are on the Username 1 Cloud console tab.

Navigate to the IAM console and explore roles

1. In the Navigation menu (), click IAM & admin > IAM.
2. Click Grant Access and explore the roles in the drop-down menu. Note the various roles associated with each resource by navigating the Roles menu.
3. Click CANCEL.
4. Switch to the Username 2 Cloud console tab.
5. In the Navigation menu (), click IAM & admin > IAM. Browse the list for the lines with the names associated with Username 1 and Username 2 in the Qwiklabs Connection Details dialog.

Note: Username 2 currently has access to the project, but does not have the Project Owner role, so it cannot edit any of the roles. Hover over the pencil icon for Username 2 to verify this.

6. Switch back to the Username 1 Cloud console tab.
7. In the IAM console, for Username 2, click on the pencil icon. Username 2 currently has the Viewer role. Do not change the Project Role.
8. Click CANCEL.

Task 3. Prepare a resource for access testing

Create a bucket and upload a sample file

1. Switch to the Username 1 Cloud console tab if you aren't already there.

2. In the Navigation menu (), click Cloud Storage > Buckets.

3. Click Create bucket.

4. Specify the following, and leave the remaining settings as their defaults:

Property	Value (type value or select option as specified)
Name	Enter a globally unique name
Location type	Multi-region

Note: Record the bucket name: it will be used in a later step and referred to as [YOUR_BUCKET_NAME]

5. Click CREATE.

Note: If you see the prompt, Public access will be prevented and the option Enforce public access prevention on this bucket is checked, then click Confirm.

6. Click UPLOAD FILES.
7. Upload any sample file from your local machine.
8. When the file has been uploaded, click on the three dots at the end of the line containing the file, and click Rename.
9. Rename the file to sample.txt, and click RENAME.

Click Check my progress to verify the objective. Create a bucket and upload a sample file

Verify project viewer access

1. Switch to the Username 2 Cloud console tab.

2. In the console, navigate to Navigation menu > Cloud Storage > Buckets.

3. Verify that Username 2 can see the bucket.

Task 4. Remove project access

Remove Project Viewer role for Username 2

1. Switch to the Username 1 Cloud console tab.
2. In the Navigation menu (), click IAM & admin > IAM.
3. Select Username 2 and click Remove Access.

Note: Verify that you're removing access for Username 2. If you accidentally remove access for Username 1 you will have to restart this lab!

4. Confirm by clicking CONFIRM.

Notice that the user has disappeared from the list! The user has no access now.

Click Check my progress to verify the objective. Remove project access

Verify that Username 2 has lost access

1. Switch to the Username 2 Cloud console tab.

2. In the Navigation menu (), click Cloud overview > Dashboard.

3. In the Navigation menu (), click Cloud Storage > Buckets. An error will be displayed. If not, refresh the page. Username 2 still has a Google Cloud account, but has no access to the project.

Task 5. Add storage access

Add storage permissions

1. Copy the value of Username 2 from the Qwiklabs Connection Details dialog.
2. Switch to the Username 1 Cloud console tab.
3. In the Navigation menu (), click IAM & admin > IAM.
4. Click Grant Access to add the user.
5. For New principals, paste the Username 2 value you copied from the Qwiklabs Connection Details dialog.
6. For Select a role, select Cloud Storage > Storage Object Viewer.
7. Click SAVE.

Click Check my progress to verify the objective. Add storage permissions

Verify that Username 2 has storage access

1. Switch to the Username 2 Cloud console tab.

Note: Username 2 doesn't have Project Viewer roles, so that user can't see the project or any of its resources in the console. However, the user has specific access to Cloud Storage.

2. To start Cloud Shell, click Activate Cloud Shell (). If prompted, click Continue.
3. To view the contents of the bucket you created earlier, run the following command, replacing [YOUR_BUCKET_NAME] with the unique name of the Cloud Storage bucket you created:

gcloud storage ls gs://[YOUR_BUCKET_NAME]

As you can see, Username 2 has limited access to Cloud Storage.

4. Close the Username 2 Cloud console tab. The rest of the lab is performed on the Username 1 Cloud console tab.
5. Switch to the Username 1 Cloud console tab.

Task 6. Set up the Service Account User

In this part of the lab, you assign narrow permissions to service accounts and learn how to use the Service Account User role.

Create a service account

1. In the Navigation menu (), click IAM & Admin > Service Accounts.
2. Click + CREATE SERVICE ACCOUNT.
3. Specify the Service account name as read-bucket-objects .
4. Click CREATE AND CONTINUE.
5. For Select a role, select Cloud Storage > Storage Object Viewer .
6. Click CONTINUE.
7. Click DONE.

Add the user to the service account

1. Select the read-bucket-objects service account.
2. Click on the three dots to the right of the service account name. Then click on Manage permissions

Note: You will grant the user the role of Service Account User, which allows that person to use a service account on a VM, if they have access to the VM. You could perform this activity for a specific user, group, or domain. For training purposes, you will grant the Service Account User role to everyone at a company called Altostrat.com. Altostrat.com is a fake company used for demonstration and training.

3. Click on the GRANT ACCESS button. Specify the following, and leave the remaining settings as their defaults:

Property	Value (type value or select option as specified)
New principals	altostrat.com
Role	Service Accounts > Service Account User

4. Click SAVE.

Grant Compute Engine access

You now give the entire organization at Altostrat the Compute Engine Admin role.

1. In the Navigation menu (), click IAM & admin > IAM.
2. Click Grant Access.
3. Specify the following, and leave the remaining settings as their defaults:

Property	Value (type value or select option as specified)
New principals	altostrat.com
Select a role	Compute Engine > Compute Instance Admin (v1)

4. Click SAVE.

Note: This step is a rehearsal of the activity you would perform for a specific user. This action gives the user limited abilities with a VM instance. The user will be able to connect via SSH to a VM and perform some administration tasks.

Create a VM with the Service Account User

1. In the Navigation menu (), click Compute Engine > VM instances.
2. Click CREATE INSTANCE.
3. Specify the following, and leave the remaining settings as their defaults:

Property	Value (type value or select option as specified)
Name	demoiam
Region
Zone
Series	E2
Machine Type	e2-micro (2 vCPU, 1 GB memory)
Boot disk	Debian GNU/Linux 11 (bullseye)
Service account	read-bucket-objects
Access scopes	Set access for each API
Storage	Read Write

4. Click Create.

Click Check my progress to verify the objective. Set up the Service Account User and create a VM

Task 7. Explore the Service Account User role

At this point, you might have the user test access by connecting via SSH to the VM and performing the next actions. As the owner of the project, you already possess the Service Account User role. So you can simulate what the user would experience by just using SSH to access the VM from the Cloud console.

The actions you perform and results will be the same as if you were the target user.

Use the Service Account User

1. For demoiam, click SSH to launch a terminal and connect.
2. Run the following command:

gcloud compute instances list

Result (example output):

ERROR: (gcloud.compute.instances.list) Some requests did not succeed: - Required 'compute.zones.list' permission for 'projects/qwiklabs-gcp'

What happened? Why?

3. Copy the sample.txt file from the bucket you created earlier. Note that the trailing period is part of the command below. It means copy to "this location":

gcloud storage cp gs://[YOUR_BUCKET_NAME]/sample.txt .

Result (example output):

Copying gs://train-test-iam/sample.txt... / [1 files][ 28.0 B/ 28.0 B] Operation completed over 1 objects/28.0 B.

4. To rename the file you copied, run the following command:

mv sample.txt sample2.txt

5. To copy the renamed file back to the bucket, run the following command:

gcloud storage cp sample2.txt gs://[YOUR_BUCKET_NAME]

Result (example output):

AccessDeniedException: 403 Caller does not have storage.objects.create access to bucket train-test-iam. Note: What happened? Because you connected via SSH to the instance, you can act as the service account essentially assuming the same permissions. The service account the instance was started with had the Storage Viewer role, which permits downloading objects from GCS buckets in the project. To list instances in a project, you need to grant the compute.instance.list permission. Because the service account did not have this permission, you could not list instances running in the project. Because the service account did have permission to download objects, it could download an object from the bucket. It did not have permission to write objects, so you got an 403 access denied message.

6. In the Navigation menu (), click IAM & admin > IAM.
7. Browse the list for the lines with read-bucket-objects, click on the pencil icon. read-bucket-objects currently has the Storage Object Viewer role. Alter the Role to Cloud Storage > Storage Object Creator .
8. Click Save
9. Return to the SSH window for demoiam
10. To copy the renamed file back to the bucket, run the following command:

gcloud storage cp sample2.txt gs://[YOUR_BUCKET_NAME]

This time the command succeeds as the service account has the correct permissions.

Task 8. Review

In this lab you exercised granting and revoking IAM roles, first to a user, Username 2, and then to a Service Account User. You could allocate Service Account User credentials and "bake" them into a VM to create specific-purpose authorized bastion hosts.

Summary

In both Azure and Google Cloud, IAM is a web service that can help you securely control access to different services and resources. You can use this tool to manage authentication (Who has access?) and authorization (What can they do?).

You can also create and manage different principals such as the following:

• Users
• Roles
• Policies

Google Cloud IAM and Azure AD have many similarities in how they operate. Both systems provide a range of features such as role-based access control, multi-factor authentication, and user management that make it easy to secure your cloud infrastructure. You have the ability to delegate administrative tasks and control access to the resources with granular policies in both systems.

There are some differences as well. Google Cloud IAM uses an intuitive and straightforward user interface. Azure AD uses features such as conditional access and integrated single sign-on with other applications.

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