In this Google Cloud SQL blog, we’ll start with an overview of how database services affect businesses.
One of the key reasons why more and more businesses are moving to the cloud is the opportunity to employ cloud database services. Therefore, moving their workloads to a cloud database has proven to be one of the most cost-effective and profitable decisions they’ve made for their businesses.
Introduction
Google Cloud SQL is a cloud-based database service that can be used instead of local databases such as MySQL, PostgreSQL, and SQL Server. It is a database service provided, maintained, managed, and governed by Google Cloud. It is the way to go if you want to spend less time on database management and more time on database use.
What exactly is a Cloud SQL instance?
A virtual machine (VM) running on a Google Cloud server powers each Cloud SQL instance. Each VM contains a database application, such as MySQL Server, PostgreSQL Server, or SQL Server, as well as logging and monitoring service agents. The high availability option includes a standby VM in a different zone with the same configuration as the primary VM.
Similarly, the database is kept on a persistent disc, which is a scalable and durable network storage device that connects to the VM. Each VM has a static IP address in front of it, ensuring that the IP address to which an application connects remains consistent for the lifespan of the Cloud SQL instance.
How to connect
Connecting to a managed Cloud SQL database is the same as connecting to a self-managed database. Furthermore, Cloud SQL instance may have a public IP address (which can be accessed through the internet from outside of Google Cloud) or a private IP address (which can only be accessed through a Virtual Private Cloud (VPC) network). Furthermore, Cloud SQL offers a variety of authorization options, such as the Cloud SQL Auth proxy, to control who can connect to your instance.
Check the Connecting Overview page for additional information about connecting, authorizing, and authenticating to your Cloud SQL instance.
Advantages
- High Availability: Regardless of what happens to a data centre, Google will make your data available to you.
- Security: Google provides top-tier database security as well as regular and automated backups of your data. As a result, your data is always safe, and your database is always accessible, even if there is a severe failure or a threat of data breach.
- Faster data access: The greater storage capacity and RAM result in larger databases, more data, and faster data access.
- Billing: Because Google Cloud SQL is a service, you can pay for it as you go, just like any other Google Cloud service.
- Compatibility: Google Cloud SQL is meant to work with Python and Java.
- Simple to use: Google Cloud SQL has a user interface that is both easy and graphical, allowing to create database instances with just few clicks rather than remembering a long list of commands.
Google Cloud SQL’s Limitations
Despite the fact that Google Cloud SQL has more functionalities, some MySQL functions are still not supported. Consider the following examples:
1. User-defined functions are not supported by Google Cloud SQL.
2. Super privilege is not supported by Google Cloud SQL.
3. A few MySQL statements are also not supported, such as:
CREATE FUNCTION
INSTALL/UNINSTALL PLUGIN
LOAD_FILE()
SHA2()
SELECT—INTO OUTFILE
Pricing
In addition, the cost is determined by configuration preferences and is based on:
- Storage used every month, in GiB?
- How many CPUs should your Cloud SQL instance have?
- How much RAM should your Cloud SQL instance have?
- Where you decide to store your data.
- Percentage of your network traffic leaves your instance?
- Number of IP addresses assigned and used?
Check the pricing for additional details.
Conclusion
The rapid expansion of the Google Cloud is well-known. It’s probably worth a shot to use Google Cloud SQL.
In case of any help or query, please contact us or raise a ticket.