Category: MySQL compatible

Migrating your relational databases on Amazon Aurora MySQL-Compatible Edition from one AWS account to another AWS account is a common use case in scenarios when you acquire, sell, or merge operations, or if you’re reorganizing your AWS accounts and organizational structure. These migrations can be complex, especially for large workloads. It is important to perform […]

Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud. Aurora combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. Aurora has a history of innovating around database engines and the underlying infrastructure running the database, while maintaining compatibility. A commonly used feature of […]

While managing databases at scale in AWS, there are certain scenarios where you may need to maintain an Amazon Aurora cluster in a single or multiple AWS accounts. These scenarios include but are not limited to mergers and acquisitions, consolidating all accounts to use only a single account, or compliance to maintain production and development […]

This post is a continuation of Federated query support for Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL – Part 1. To recap, in 2003, the SQL standard added a new specification called SQL/MED (SQL Management of External Data). In 2011, PostgreSQL 9.1 was released with read-only support of this standard, and PostgreSQL 9.3 added […]

Modifying the schema of a SQL database can be time-consuming, resource-intensive, and error-prone. It can also require long periods of downtime that negatively affects the end-user experience. In this post, I walk you through performing schema changes using Instant DDL and Amazon Relational Database Service (Amazon RDS) Blue/Green Deployments for Amazon Aurora MySQL-Compatible Edition with […]

At times you may need to migrate your workloads from one AWS Region to another Region. In this post, we highlight best practices for cross-Region migration of Amazon Relational Database Service (Amazon RDS) and Amazon Aurora . We provide prescriptive guidance on migration of various components related to the RDS databases. We also discuss the […]

XA transactions are not a very familiar concept to lots of people and therefore hardly used. An XA transaction is a two-phase commit protocol that supports distributed transactions that updates multiple relational databases. It involves a transaction manager that monitors this global transaction. XA makes sure that transactional updates are committed in all of the […]

In this post, we focus on database object validation for the heterogenous migration from SAP ASE to Amazon Relational Database Service (Amazon RDS) for MySQL, Amazon RDS for MariaDB, or Amazon Aurora MySQL-Compatible Edition. For schema conversion and migration, you can use AWS Schema Conversion Tool (AWS SCT). AWS SCT helps convert your database schema […]

AWS recently added Google Cloud for MySQL as a source to AWS Data Migration Service (AWS DMS) for MySQL 8.0 and newer. In this post, we demonstrate how you can migrate from Google Cloud for MySQL to Amazon Aurora MySQL-Compatible Edition in an automated way and minimize downtime using AWS DMS. As of this writing, […]

Database object validation plays a key role in the database migration process. It’s the process of determining whether all the source database objects have been successfully migrated to the target database by comparing their types and counts. If you skip the validation phase, you may encounter runtime errors due to missing database objects, which can […]