Category: MySQL compatible

Amazon Aurora backs up cluster volumes automatically and retains restore data for the length of the backup retention period. Aurora automated backups are continuous and incremental, so you can restore to any point within the backup retention period from 1–35 days. If you need to retain backups for more than 35 days, you can take manual snapshots […]

At AWS, we have been making steady progress towards bringing our zero-ETL vision to life. With Amazon Aurora zero-ETL integration to Amazon Redshift, you can bring together the transactional data of Amazon Aurora with the analytics capabilities of Amazon Redshift. The integration helps you derive holistic insights across many applications, break data silos in your […]

In this post, we show you a recent improvement for Amazon RDS Blue/Green Deployment switchovers to reduce your overall downtime when you have a large number of connections to your database. Blue/Green Deployments enforce safety measures to make sure that the switchover from your blue environment to the green environment maintains data consistency. For reference, […]

In the first part, we discussed the most common issues that will cause upgrade prechecks from Amazon Aurora MySQL-Compatible Edition v2 to v3 to fail. In this post, we discuss the most common causes of prolonged and unsuccessful upgrade. Cluster has XA transactions in the prepared state Amazon Aurora MySQL cancels the upgrade if it […]

Amazon Aurora MySQL-Compatible Edition version 2 (with MySQL 5.7 compatibility) is planned to reach the end of standard support on October 31, 2024. The Amazon Aurora MySQL version 2 end of standard support timeline is discussed in our public documentation. We recommend that you upgrade your databases to the default minor version of Amazon Aurora […]

In this post, we show you how to use advanced replication features between MySQL-compatible databases such as Amazon Aurora MySQL-Compatible Edition clusters or Amazon Relational Database Service (Amazon RDS) for MySQL instances. We discuss two replication capabilities in Amazon RDS and Amazon Aurora: multi-source replication and replication filtering. Multi-source replication is supported only in Amazon […]

As businesses continue to scale, the need for highly performant, scalable, and reliable databases becomes paramount. Amazon Aurora, with its advanced features and cloud-native architecture, offers an attractive solution for organizations seeking to upgrade their databases. For mission-critical, large, and complex databases, it is challenging to upgrade databases with near-zero downtime for cutover. In this […]

AWS Lambda is a serverless compute offering that helps you design event-driven architectures. It provides direct integration with multiple AWS services, including Amazon Aurora MySQL-Compatible Edition. In this post, we show you how to invoke Lambda functions from Amazon Relational Databases Service (Amazon RDS) for MySQL and Amazon RDS for MariaDB using Amazon CloudWatch and […]

Amazon Aurora MySQL-Compatible Edition version 3 (with MySQL 8.0 compatibility) is the most current major version supported on Amazon Aurora MySQL. You can use Amazon Aurora MySQL version 3 to get the latest MySQL-compatible features and performance improvements. MySQL 8.0 introduces several new features, including JSON functions, window functions, common table expressions (CTEs), and role-based […]

In this post, we demonstrate how to build a mechanism to automate the detection of sensitive data, in particular personally identifiable information (PII), in your relational database. PII is information connected to an individual and can be used to identify them. Handling PII data in a relational database, such as Amazon Aurora, requires planning and […]