DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Please enter at least three characters to search
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Zones

Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks

Because the DevOps movement has redefined engineering responsibilities, SREs now have to become stewards of observability strategy.

Apache Cassandra combines the benefits of major NoSQL databases to support data management needs not covered by traditional RDBMS vendors.

The software you build is only as secure as the code that powers it. Learn how malicious code creeps into your software supply chain.

Generative AI has transformed nearly every industry. How can you leverage GenAI to improve your productivity and efficiency?

Related

  • Amazon RDS vs Azure SQL — Know the Key Differentiators and Choose the Best
  • Cloud Database Services Compared: AWS, Microsoft, Google, and Oracle
  • Useful System Table Queries in Relational Databases
  • Common Mistakes to Avoid When Writing SQL Code

Trending

  • Advancing Your Software Engineering Career in 2025
  • Implementing Explainable AI in CRM Using Stream Processing
  • Designing a Java Connector for Software Integrations
  • Securing the Future: Best Practices for Privacy and Data Governance in LLMOps
  1. DZone
  2. Data Engineering
  3. Databases
  4. Cloud SQL Guidelines for Cloud Database Administration

Cloud SQL Guidelines for Cloud Database Administration

As cloud databases become more prevalent, administrators must understand the right SQL guidelines for managing them.

By 
Ryan Kh user avatar
Ryan Kh
·
Sep. 14, 22 · Opinion
Likes (3)
Comment
Save
Tweet
Share
5.2K Views

Join the DZone community and get the full member experience.

Join For Free

Cloud hosting is more common than ever. A growing number of organizations are resorting to cloud computing. Therefore, the market for cloud hosting services was over $405 billion last year and is growing around 19% a year through 2029.

As more companies become reliant on cloud computing, they need to find efficient ways to organize databases stored in the cloud. Fortunately, Google offers a solution known as Cloud SQL. Pearson, Macy's, DISH, and AAA use Cloud SQL to manage their cloud databases. However, smaller companies use more specialized services, such as Amnesty, which offers Magento Open Source solutions for eCommerce companies. You will need to follow the guidelines listed below to make the most of it.

What Is Cloud SQL, and How Can It Help With Cloud Database Administration?

Every day more companies are migrating their digital resources to the cloud. These companies have discovered the benefits of utilizing cloud environments for scalability and data preservation.

The growing array of resources being shifted to cloud networks has forced companies to rethink their database policies. Databases are widely used in the development of applications and websites since they allow organizations to store large amounts of information in an orderly manner.

Therefore, more companies are managing databases hosted in the cloud, with all the benefits that this entails. There are some cloud services that specialize in serving different markets. For example, Amnesty serves eCommerce companies using the cloud. On the other hand, Google and AWS offer cloud hosting services for more diverse types of organizations.

Google has simplified the cloud database administration process by offering a new service known as Cloud SQL, in addition to a wide portfolio of data solutions such as Bigtable and Cloud Spanner. Cloud SQL is a service integrated with the Google Cloud Platform that facilitates the configuration, management, storage, and maintenance of relational databases in the cloud.

Cloud SQL uses the latest Google Cloud Platform technology to add new functionalities, in addition to the features of SQL databases. For example, backup and replication or the implementation of updates and patches. All of these features are directly managed by Google.

You can use Cloud SQL with MySQL, PostgresSQL, or SQL Server. The service is also fully compatible with applications that use these databases. In addition, you can easily migrate any databases hosted locally or on traditional servers to the cloud environment of Google Cloud Platform with little downtime.

Key Features of Cloud SQL

Cloud SQL offers a number of valuable features in addition to those usually offered by traditional SQL databases. These services include the following:

  • The Cloud SQL execution environment is managed with Linux.
  • The environment is highly scalable. Depending on the requirements of our database, you can easily allocate more resources to it. These resources include a processor, RAM, and storage space.
  • The platform offers a secure connection through SSL.
  • Automatic and on-demand backups. Since the system is managed by Google, you will receive periodic backups of our database. You can recover a previous copy in the event of data loss. You can also generate a backup on demand.
  • High availability. Like other Google Cloud Computing services, Cloud SQL offers a high availability environment of up to 99.95%.
  • Replication and load balancing. Cloud SQL will automatically take care of generating new instances of our database when the volume of requests increases.
  • Different connection options. You will be able to access and connect any database hosted in Cloud SQL through an app or website, including a traditional MySQL client or other Google tools such as Apps Script, Compute Engine, Kubernetes, or BigQuery.
  • It offers easy management through a graphical interface or accessible from the command line / CLI. You can choose which of these options is best.

Cloud SQL is an ideal solution to make the most of SQL databases and take advantage of all the benefits provided by Google Cloud Platform. It is especially useful in environments with high volumes of requests thanks to its scalability and replication capacity.

What Is a Cloud Database?

Before you can use Cloud SQL effectively, you need to appreciate the importance of cloud databases in general. If you haven’t set one up before, the following information can prove helpful.

Cloud databases are a new storage modality that differs from traditional databases. Unlike traditional databases, cloud databases are not stored on a local computer or system but run from the infrastructure of a service provider. This storage system offers numerous advantages, including savings in space, time, and money.

How Does a Cloud Database Work?

A cloud database or DBaaS (Database as a Service) runs on a service provider's infrastructure. But how do you set up a database in the cloud? There are two main modalities:

  1. The first option is to use a service provider that offers the physical infrastructure and the database but allows the customer full management of the stored information. This is where Cloud SQL becomes so helpful.
  2. Another option is to perform integral management of the stored content to offer the physical infrastructure and the database, the provider.

The first option listed above is the most common, although the second can be especially useful for small companies or businesses that do not have experience in database management.

Cloud computing Cloud database Database MySQL Relational database guidelines sql

Opinions expressed by DZone contributors are their own.

Related

  • Amazon RDS vs Azure SQL — Know the Key Differentiators and Choose the Best
  • Cloud Database Services Compared: AWS, Microsoft, Google, and Oracle
  • Useful System Table Queries in Relational Databases
  • Common Mistakes to Avoid When Writing SQL Code

Partner Resources

×

Comments
Oops! Something Went Wrong

The likes didn't load as expected. Please refresh the page and try again.

ABOUT US

  • About DZone
  • Support and feedback
  • Community research
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 100
  • Nashville, TN 37211
  • support@dzone.com

Let's be friends:

Likes
There are no likes...yet! 👀
Be the first to like this post!
It looks like you're not logged in.
Sign in to see who liked this post!