Our development team is evaluating managed relational database options in a major cloud environment. What specific relational database tools does Google Cloud Platform provide to help businesses manage structured SQL datasets without handling the underlying infrastructure overhead?
3 answers
Google Cloud Platform offers two primary managed relational database options for structured data workloads. The first is Cloud SQL, which is a fully managed database service that makes it easy to set up, maintain, manage, and administer your PostgreSQL, MySQL, and SQL Server relational databases. The second option is Cloud Spanner, an enterprise-grade, globally co-ordinated, and strongly consistent relational database service designed specifically for massive scale, combining the benefits of relational structure with non-relational horizontal scalability.
Does Cloud SQL support automatic storage horizontal scaling, or do we still need to manually monitor disk space and provision extra gigabytes?
Cloud SQL is the ideal choice for standard regional applications because it offers seamless point-in-time recovery and automatic replication.
I completely agree with this approach. Utilizing Cloud SQL minimizes the infrastructure management burden significantly, allowing teams to deliver features rapidly instead of managing disk arrays and replication streams.
Cloud SQL includes an automatic storage increase feature that triggers when your available space drops below a specific threshold. This completely eliminates the need for manual storage provisioning, though you must ensure that your absolute maximum storage limits are configured correctly within the database control panel to avoid unexpected cloud infrastructure bills.