Posts in tag

Cloud SQL


Customers build and deploy many applications that have varied requirements from an availability perspective. The databases that store and manage the data created and used by these applications play a key role in determining the overall availability of the applications. Some applications can tolerate a longer recovery time or RTO (Recovery Time Objective) and have …

Cloud is accelerating digital transformation, enabling organizations to build and release apps more frequently, and databases are at the center of this transformation. But the transition to Cloud has led to an increase in the number and variety of database engines that users have to manage. The operational burden of keeping up with scale and …

Introduction In this post, you’ll 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. This solution will help you learn to build event driven lightweight solutions for any stand-alone functionality with Cloud SQL database that respond to Cloud …

Connecting to Cloud SQL using Python is not always straightforward. Depending on the context, sometimes you have to connect to a Unix domain socket, sometimes you have to allow-list IP addresses for TCP connections, or sometimes you have to run the Cloud SQL Auth proxy locally. Making these connections secure is yet another challenge: you …

Editor’s note: Manhattan Associates provides transformative, modern supply chain and omnichannel commerce solutions. It enhanced the scalability, availability, and reliability of its software-as-a-service through a seamless migration to Google Cloud SQL for MySQL. Geopolitical shifts and global pandemics have made the global supply chain increasingly unpredictable and complex. At Manhattan Associates, we help many of …

The following blog covers popular performance analysis tools and technologies database administrators can use to tune and optimize Cloud SQL for SQL Server. Common performance challenges are described in each section along with tools and strategies to analyze, address and remediate them. After reviewing this blog, consider applying the tools and processes detailed in each …

After migrating databases to Google Cloud,  Cloud SQL developers and business users can use familiar business intelligence tools and services like Microsoft Power BI to connect to and report from Cloud SQL MySQL, PostgreSQL, and SQL Server databases. The ability to quickly migrate databases to GCP without having to worry about refactoring or developing new …

Do you need an up-to-date copy of the data you’re storing in Cloud SQL for SQL Server? Cloud SQL now supports setting up replication from your Cloud SQL instance to an external subscriber (or to another Cloud SQL instance) using a SQL Server capability called transactional replication. This gives you another way to create an …

The name Kitabisa means “we can” in Bahasa Indonesia, the official language of Indonesia, and captures our aspirational ethos as Indonesia’s most popular fundraising platform. Since 2013, Kitabisa has been collecting donations in times of crisis and natural disasters to help millions in need. Pursuing our mission of “channeling kindness at scale,” we deploy AI …

Cloud SQL for SQL Server is a fully-managed database service that allows you to run SQL Server in the cloud and let Google take care of the toil. In the past year, we’ve launched features that help you get the most out of SQL Server, like support for Active Directory authentication, SQL Server 2019, and …