Google Cloud SQL

Cloud SQL is Google Cloud's managed relational database service for PostgreSQL, MySQL, and SQL Server. Like other managed offerings, it removes the operational burden — provisioning, patching, backups, replication, and failover — while you keep a familiar SQL engine.

It's the sensible default on GCP when you want a relational database without operating it yourself. The connectivity model is the part worth learning early: prefer private IP and the Cloud SQL Auth Proxy over exposing the database to the internet.

TL;DR

Quick Example

Create a highly available Postgres instance in one command — REGIONAL gives automatic failover:

Core Concepts

Connectivity

Choose how apps reach the database — production should avoid the public internet:

Best Practices

Common Mistakes

Exposing the database publicly

Cross-region latency

FAQ

Cloud SQL or AWS RDS?

They're close equivalents on their respective clouds — both manage Postgres/MySQL (Cloud SQL also runs SQL Server). Choose based on where the rest of your stack lives. On GCP, Cloud SQL integrates with VPC, IAM, and monitoring; on AWS, RDS does the same.

How should I connect to Cloud SQL securely?

Use private IP within your VPC and the Cloud SQL Auth Proxy (or language connectors), which handle IAM-based auth and TLS for you. Avoid public IP with broad authorized networks unless you genuinely need it.

Is high availability a substitute for backups?

No. HA (a regional failover replica) protects against instance/zone failure, but it faithfully replicates mistakes like a bad DELETE or migration. You still need backups and point-in-time recovery — and you must test that you can restore them.

Why do my serverless functions exhaust connections?

Each function instance can open its own connection, and they scale out quickly, overrunning the instance's connection limit. Use connection pooling (and short-lived connections), and consider the Auth Proxy's pooling guidance for serverless.

Related Topics

References