Guides: How to get started with Cloud SQL on Google Cloud

Video: What is Cloud SQL?

How to set up Cloud SQL, migrate your existing database, and understand data security and pricing.

Blog: Introducing Cloud SQL Enterprise Plus

New edition delivers accelerated read and write performance, a 99.99% availability SLA, and enhanced data protection.

Blog: Running MySQL in Google Cloud

How to start MySQL, access it from the command line, and connect to it from a Compute Engine instance.

Case study: Manhattan Associates

Manhattan Associates enhanced the scalability, availability, and reliability of its software-as-a-service through a seamless migration to Cloud SQL.

Tutorial: Create a MySQL instance with Cloud SQL

Learn how to enable Cloud SQL in a Cloud project, create an instance, connect to it, create a database, and upload data.

Lab: Cloud SQL

In this quest you will receive hands-on practice with the basics of Cloud SQL and quickly progress to advanced features.

Blog: Cloud SQL regional migration

Expand your business, achieve compliance, or add capabilities by migrating your Cloud SQL database to a new region.

Video: Security, cost-efficiency, and simplicity: Migrating databases to Cloud SQL

How small and medium-sized organizations made successful database migrations to Cloud SQL.

Video: Running business-critical commercial databases with Google Cloud

How Cloud SQL makes it easy to run SQL Server workloads with high availability, data protection, security, and cost optimization.

Video: Getting started with Database Migration Service

Learn how Database Migration Service simplifies your migration with a serverless, secure platform that utilizes native replication for higher fidelity and greater reliability.

Blog: How to plan your SQL Server migration to Cloud SQL

Guidance on what option you might want to choose for your specific migration scenario.

Documentation: Best practices for importing and exporting data

Best practices for importing and exporting data with Cloud SQL, covering SQL Mode, flag, compression, and more.

Video: Database Configurations with Google Cloud SQL

Deep dive into Cloud SQL plus a demo, best practices, database optimization, and application examples.

Documentation: Database observability for MySQL, PostgreSQL, and SQL Server.

Use database observability to accurately infer the internal state of your database based on the data, or telemetry, that it generates.

Blog: Lightweight application development with Serverless Cloud Functions and Cloud SQL

Learn to build a Java based Cloud Function that will connect to a Cloud SQL for SQL Server database using the Cloud SQL Connector for Java.

Documentation: Connecting to Cloud SQL from external applications

Learn how to establish a connection to Cloud SQL from applications running outside of Google Cloud.

Tutorial: Connecting a MySQL client using public IP

Connect a MySQL client to your Cloud SQL instance, whether it’s running locally on your client machine or in Cloud Shell.

Tutorial: Connect to a Cloud SQL for MySQL instance from a Compute Engine virtual machine

Learn how to enable Compute Engine and Cloud SQL, create a VM, install a MySQL client, and connect to your MySQL instance.

Video: Concepts of Cloud SQL networking

Cloud SQL networking concepts from implementation and security to connectivity, and tips on how to determine who and what can access your instance.

Video: Connecting to Cloud SQL from Kubernetes

Explore the ins and outs of connecting to Cloud SQL from Google Kubernetes Engine.

Video: How to build a three-tier serverless Cloud Run app

Learn how to build a three-tier serverless Cloud Run app with Cloud SQL as the back end.

Video: Five best practices to enable highly available applications with Cloud SQL

Best practices for rightsizing your Cloud SQL instances and setting up high availability and disaster recovery.

Video: Industry-leading availability and performance for MySQL workloads

Migrate and manage MySQL-based applications and optimize them for enterprise-grade performance.

Video: Availability and performance with Cloud SQL for PostgreSQL

Migrate or build PostgreSQL-based applications while leveraging the strengths of Cloud SQL in high availability, data protection, and security.

Documentation: Use Query insights to improve query performance in MySQL and PostgreSQL.

Use the Query insights dashboard to detect, diagnose, and prevent query performance problems for Cloud SQL databases.

Documentation: Replication in Cloud SQL for MySQL, PostgreSQL, and SQL Server

Use replication to scale the use of data in a database without degrading performance, and to migrate data between regions.

Blog: Building a resilient architecture with Cloud SQL

Build a resilient database architecture, learn about planned and unplanned events that impact Cloud SQL availability, and learn how to limit downtime.

Whitepaper: Resiliency with Cloud SQL

Cloud SQL availability features and how the service handles planned maintenance events and unplanned outages.

Documentation: High availability for MySQL, PostgreSQL, and SQL Server

Overview of the high availability (HA) configuration for Cloud SQL instances, used to reduce downtime when a zone or instance becomes unavailable.

Video: High availability and disaster recovery with Cloud SQL

Learn how to configure databases that can recover from user errors, infrastructure failures, and full region outages.

Documentation: Manage users with built-in authentication in MySQL, PostgreSQL, and SQL Server

How to enable and use Cloud SQL built-in authentication.

Documentation: Cloud SQL federated queries

Query data in Cloud SQL from BigQuery in real time, without copying or moving data.

White paper: Unlocking gen AI’s full potential with operational databases

A guide to generative AI app development with Google databases.

Video: How to build data-driven apps with Google Cloud's latest services

Explore three approaches to building data-driven apps and getting real-time insights from your data.

Video: Accelerate your generative AI journey with Google Cloud databases

Introduction to using operational data to build gen AI applications.

Video: Building AI-powered apps using pgvector, LangChain and LLMs

Extend your database application to build AI-powered experiences using the pgvector PostgreSQL extension, LangChain and LLMs.