Author: Sukhpreet Kaur Bedi

AWS Organizations now supports an upgrade rollout policy, a new capability that provides a streamlined solution for managing automatic minor version upgrades across your database fleet. This feature supports Amazon Aurora MySQL-Compatible Edition and Amazon Aurora PostgreSQL-Compatible Edition and Amazon RDS database engines MySQL, PostgreSQL, MariaDB, SQL Server, Oracle, and Db2. It eliminates the operational overhead of coordinating upgrades across hundreds of resources and accounts while validating changes in less critical environments before reaching production. In this post, we explore how upgrade rollout policy works, its key benefits, and how you can use it to implement a systematic approach to database maintenance across your organization.

Applications using Aurora DSQL multi-Region clusters should implement a DNS-based routing solution (such as Amazon Route 53) to automatically redirect traffic between AWS Regions. In this post, we show you automated solution for redirecting database traffic to alternate regional endpoints without requiring manual configuration changes, particularly in mixed data store environments.

In this post, we explore the use cases for delayed replication, the recovery procedures, and best practices for managing delayed replicas to help ensure your database recovery strategy is both robust and efficient.

Scheduling jobs is an important part of every database environment. On a traditional on-premises database, you can schedule database maintenance jobs on the operating system where the database runs. When you migrate your databases to Amazon Relational Database Service (Amazon RDS) or Amazon Aurora, you lose the ability to log in to the host and […]