Ends in
00
days
00
hrs
00
mins
00
secs
SHOP NOW

🤖 $3.49 eBooks Start Here - Get Up to 30% OFF All AI & Machine Learning Reviewers
Back to Course

GCP PlayCloud Labs

0% Complete
0/0 Steps
  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
GCP PlayCloud Labs Guided Lab: Creating a Cloud SQL Instance
In Progress
Lesson 4 of 41
In Progress

Guided Lab: Creating a Cloud SQL Instance

Jon-Bonso

Description

Cloud SQL is a fully managed relational database service on Google Cloud. It supports MySQL, PostgreSQL, and SQL Server, allowing you to deploy secure, scalable databases without the overhead of manual administration.

In this guided lab, you’ll learn how to create a Cloud SQL instance using the Google Cloud Console and explore its key features.

Objectives

In this lab, you will:

  • Navigate to the Cloud SQL service
  • Create a MySQL instance with sandbox settings
  • Explore the Cloud SQL management interface and monitoring tools

Subscribe to access GCP PlayCloud Labs

Lab Steps

Navigating to Cloud SQL

1. In the Google Cloud console, go to the unified search bar at the top.

2. Type “sql” and select “Cloud SQL” from the results.

3. You’ll be redirected to the Instances section. Scroll down and click Create Sandbox Instance.

Creating a MySQL instance

1. On the Create a MySQL instance page, set the Edition preset to Sandbox.

2. Enter your desired Instance ID.

3. You may set a password for the root user, but for this demonstration, we will choose not to set a password.

4. You may explore custom configuration options (e.g., Machine configuration, Storage, Connections, etc.), but for this lab, we will leave those configurations as is.

5. Click Create instance to finalize.

6. Once created, you will be redirected to the Overview page, where you can explore tabs such as Cloud SQL Studio, System Insights, Query Insights, Connections, Users, etc.

7. You may check the deployment status of your Cloud SQL instance in the bottom‑right corner of the page.

That’s it! You’ve successfully created a Cloud SQL MySQL instance in Google Cloud. You now know how to:

  • Access the Cloud SQL service
  • Configure and deploy a sandbox instance
  • Navigate the Cloud SQL management interface

Skip to content