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GCP PlayCloud Labs

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  1. GCP PlayCloud Labs
  2. Guided Lab: Creating a Cloud Storage Bucket
  3. Guided Lab: How to Launch a GCP Compute Engine Linux Instance
  4. Guided Lab: Creating a Cloud SQL Instance
  5. Guided Lab: Creating a Cloud NAT Gateway
  6. Guided Lab: Running SQL Commands in Cloud SQL Studio
  7. Guided Lab: Hosting a Static Website in Google Cloud Storage Bucket
  8. Guided Lab: Creating and Restoring Cloud SQL Backups
  9. Guided Lab: Vertically Scaling a VM Instance
  10. Guided Lab: Creating a Custom Image from a VM Instance with Web Server in Google Cloud
  11. Guided Lab: Setting up a Web Server on a VM Instance
  12. Guided Lab: Creating a Spot VM Instance
  13. Guided Lab: Exploring Instance Metadata in Google Cloud
  14. Guided Lab: Setting Up and Managing a Database on a VM Instance
  15. Guided Lab: Integrating Cloud SQL Database instance with a VM instance
  16. Guided Lab: Connecting Cloud SQL Database with MySQL Workbench (Local)
  17. Guided Lab: Creating a VM Using Instance Templates
  18. Guided Lab: Installing WordPress on an Ubuntu VM Instance with LEMP Stack
  19. Guided Lab: Reserving or Promoting a Static IP Address for a VM Instance
  20. Guided Lab: Creating a Google Kubernetes Engine (GKE) Cluster
  21. Guided Lab: Protecting Data on Cloud Storage Bucket Against Accidental Delete and Overwrite Using Object Versioning
  22. Guided Lab: Connecting to a Kubernetes Engine Cluster
  23. Guided Lab: Creating and Managing Instance Groups in Compute Engine
  24. Guided Lab: Configuring Shielded VM Options
  25. Guided Lab: SSH Access to GCP VM Instance from Local Machine using SSH Key Pair
  26. Guided Lab: Deploying a Simple Web Application on GKE
  27. Guided Lab: Configuring Firewall Rules to Secure and Access a VM
  28. Guided Lab: Establishing VPC Peering for Secure Cross‑Network Communication
  29. Guided Lab: Creating a Custom Virtual Private Cloud (VPC)
  30. Guided Lab: Using Startup Scripts in GCP VM Instances
  31. Guided Lab: Deploying a LAMP Stack on a Compute Engine VM
  32. Guided Lab: Managing Cloud Storage Buckets via SSH Commands
  33. Guided Lab: Guarding Your VM with Deletion Protection
  34. Guided Lab: Using Cloud Storage Lifecycle Rules to Automate Object Management
  35. Guided Lab: Guarding Your Cloud SQL Instances with Deletion Protection
  36. Guided Lab: Exploring Google Cloud Storage Classes
  37. Guided Lab: Setting Up a Linux Bastion Host on GCP
  38. Guided Lab: Uploading, Organizing, and Managing Objects in Cloud Storage
  39. Guided Lab: Creating an Application Load Balancer
  40. Guided Lab: Creating a Network Load Balancer
  41. Guided Lab: Creating VM Snapshots and Restoring a VM from a Snapshot
Lesson 14 of 41
In Progress

Guided Lab: Setting Up and Managing a Database on a VM Instance

Description

In this lab, you will learn how to set up and manage a MySQL database on a Google Cloud VM instance. You’ll create a VM, install MySQL, and run SQL queries to configure a database and user. This workflow demonstrates how to host and manage databases directly on Compute Engine, giving you full control over configuration and management.

Prerequisites

This lab assumes you have experience creating a VM instance and are familiar with its basic components. If you feel that your knowledge in this area is insufficient, we highly recommend taking this lab to gain the necessary understanding:

Objectives

In this lab, you will:

  • Create a VM instance in Google Cloud
  • Install MySQL on the VM
  • Connect to MySQL and execute SQL queries to create a database and user
  • Create tables and insert sample data

Lab Steps

Create a VM Instance

1. In the Google Cloud Console, go to Compute Engine → VM instances → Create Instance.

2. Create a VM instance using the following machine configurations:

  • Name: Enter your desired instance name.
  • Machine type: Choose e2-small (Preset)
  • Under OS and storage, click the Change button to modify the Boot disk:
    • Operating System: Ubuntu
    • Version: 24.04 LTS Minimal (x86/64, amd64 noble minimal image built on 2025‑12‑17)

3. Leave other configurations at their default values.

4. Once done, click the Create button.

Connect to the VM

1. From the VM instances page, click SSH next to your VM.

2. Once connected, verify you are inside the VM by running:

hostname
Install MySQL

1. Update the package list:

sudo apt update

2. Install MySQL server:

sudo apt install mysql-server -y

Note: The installation may take a few minutes. Wait until the process completes fully before moving to the next step.

Create a Database and User

1. Open the MySQL

sudo mysql

2. Run the following SQL commands inside the MySQL shell:

-- Create a new database
CREATE DATABASE td_demo;

-- Create a new user with a password
CREATE USER 'tdDemo'@'localhost' IDENTIFIED BY 'tdDemo123';

-- Grant privileges to the user on the database
GRANT ALL PRIVILEGES ON td_demo.* TO 'tdDemo'@'localhost';

-- Apply the changes
FLUSH PRIVILEGES;

-- Verify the database
SHOW DATABASES;

-- Verify the user
SELECT User, Host FROM mysql.user;

3. Exit MySQL:

exit
Create Tables and Insert Sample Data

1. Log in to MySQL using the new user account:

mysql -u tdDemo -p

2. Enter the password you set (tdDemo123).

3. Switch to the database you created:

USE td_demo;

4. Create a new table to store employee records:

CREATE TABLE Employees (
  ID INT PRIMARY KEY,
  Name VARCHAR(50),
  Age INT,
  Salary DECIMAL(10, 2)
);

5. Insert sample data into the table:

INSERT INTO Employees (ID, Name, Age, Salary)
VALUES (1, 'Jose Rizal', 25, 50000.00);

INSERT INTO Employees (ID, Name, Age, Salary)
VALUES (2, 'Andres Bonifacio', 30, 55000.00);

INSERT INTO Employees (ID, Name, Age, Salary)
VALUES (3, 'Emilio Aguinaldo', 35, 60000.00);

6. Verify the data by running:

SELECT * FROM Employees;

7. Exit MySQL:

exit

That’s it! You have now successfully set up and managed a MySQL database on a Google Cloud VM instance. Throughout this lab, you created a VM running Ubuntu 24.04 LTS Minimal, installed MySQL, and executed SQL queries to configure a database and user. You also created tables and inserted sample data to validate the setup. This workflow demonstrates how databases can be hosted directly on Compute Engine, giving you complete control over configuration, security, and management.

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