GSP941

Overview

Memorystore for Redis provides high availability by replicating a primary Redis node to a replica node. The replica node is a copy of the primary node that replicates any changes made to the primary node. In this lab, you will configure a highly available Memorystore cluster and review the architecture of such a deployment.

Lab objectives

In this lab, you will learn how to:

• Create a single read replica Memorystore instance and query it from a sample application.
• Update the instance to scale read replicas from one to five instances.
• Query the instance after scaling up read replicas to observe improved read performance.

Setup

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 are made available to you.

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

To complete this lab, you need:

• Access to a standard internet browser (Chrome browser recommended).

Note: Use an Incognito (recommended) or private browser window to run this lab. This prevents conflicts between your personal account and the student account, which may cause extra charges incurred to your personal account.

• Time to complete the lab—remember, once you start, you cannot pause a lab.

Note: Use only the student account for this lab. If you use a different Google Cloud account, you may incur charges to that account.

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 dialog opens for you to select your payment method. On the left is the Lab Details pane 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 pane.

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 pane.

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 access Google Cloud products and services, click the Navigation menu or type the service or product name in the Search field.

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.

1. Click Activate Cloud Shell at the top of the Google Cloud console.

2. Click through the following windows:

   • Continue through the Cloud Shell information window.
   • Authorize Cloud Shell to use your credentials to make Google Cloud API calls.

When you are connected, you are already authenticated, and the project is set to your Project_ID, . The output contains a line that declares the Project_ID for this session:

Your Cloud Platform project in this session is set to {{{project_0.project_id | "PROJECT_ID"}}}

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

3. (Optional) You can list the active account name with this command:

gcloud auth list

4. Click Authorize.

Output:

ACTIVE: * ACCOUNT: {{{user_0.username | "ACCOUNT"}}} To set the active account, run: $ gcloud config set account `ACCOUNT`

5. (Optional) You can list the project ID with this command:

gcloud config list project

Output:

[core] project = {{{project_0.project_id | "PROJECT_ID"}}} Note: For full documentation of gcloud, in Google Cloud, refer to the gcloud CLI overview guide.

Task 1. Creating a Redis instance with read replicas

To create a new instance:

1. From the Navigation menu () > View all Products, under Databases select Memorystore > Redis in the Cloud Console or click Memorystore for Redis.

2. If the Memorystore page is unavailable, enable or re-enable the Google Cloud Memorystore for Redis API.

3. Click Create Instance.

4. On the Create a Redis instance page, select the configurations for your new instance:

   • Enter my-instance-1 for Instance ID.

   • Enter My Quickstart Instance for Display name.

   • Choose Standard under the Tier Selection.

     • Standard Tier uses a replica node to backup your data.

   • Enter 5 under Capacity.

     • This sets your instance capacity to 5 GB.

   • Choose from the Region dropdown.

   • Choose 1 Read Replica from the Configure read replicas dropdown.

   • Choose default from the Network dropdown.

   • Under Configuration > Version, select 5.0 (recommended).

5. Click the Create Instance button.

    Verify the Redis instance Note: Wait for the instance to create successfully which may take some time.

After the instance is created, obtain your instance's IP address by following these steps:

6. Go to the Memorystore > Redis page in the Google Cloud Console or click Memorystore for Redis.

7. Click on the my-instance-1 Instance ID and then navigate to Connections tab.

From Primary endpoint take a note of your instance's IP address. Also note that your instance's Port number is 6379.

Task 2. Connecting to the Redis instance from a Compute Engine VM instance

You can connect to the Redis instance from any Compute Engine VM that uses the Redis instance's authorized network with a supported RFC 1918 IP address.

1. From the Navigation menu (), select Compute Engine page and find the instance with the name test-vm.

2. Click the SSH button to connect to the VM.

3. Install telnet using apt-get:

   sudo apt-get install telnet

4. From the terminal, telnet to the IP address of the Redis instance, replacing variables with appropriate values:

   telnet <instance-ip-address> 6379

   If successful, the command will return this result:

   Trying instance-ip-address… Connected to instance-ip-address

5. In the telnet session, enter some Redis commands:

• Enter:

  PING

  Result:

  +PONG

• Enter:

  SET HELLO WORLD

  Result:

  +OK

• Enter:

  GET HELLO

  Result:

  $5 WORLD

    Check if the data has been stored

Task 3. Scaling read replica enabled instances

Adding or removing replica nodes from your Redis instance

1. Navigate to Memorystore > Redis page in the Google Cloud Console or click Memorystore for Redis.

2. Click the Instance ID of the instance to which you want to add/remove replica nodes.

3. Click Edit.

4. Under Configure read replicas, choose 5 Read Replicas to scale the read replicas for your memorystore instance.

5. Click Save.

Note: Wait for the instance to finish updating which may take some time.     Verify the Redis instance has scaled and check data

Congratulations

In this lab, you created a Memorystore instance, then scaled the read replicas to 5 while keeping the data stored.

End your lab

When you have completed your lab, click End Lab. Your account and the resources you've used are removed from the lab platform.

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Manual Last Updated July 9, 2025

Lab Last Tested July 9, 2025

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