Amazon RDS Recommendations Provide Best Practice Guidance for Amazon Aurora
The Amazon Relational Database Service (Amazon RDS) Recommendations feature now analyzes your Amazon Aurora configuration, usage, and performance data, and provides automated best practice guidance. In addition, Amazon RDS Recommendations suggests database parameter changes for all RDS engines.
The Amazon Relational Database Service (Amazon RDS) Recommendations feature now analyzes your Amazon Aurora configuration, usage, and performance data, and provides automated best practice guidance. In addition, Amazon RDS Recommendations suggests database parameter changes for all RDS engines.
Amazon RDS Recommendations cover a variety of common configuration issues such as outdated database engine versions, non-default security settings, and mismatched instance classes. First released in 2018, this feature now supports Aurora databases, including specific Aurora topics such as high availability settings.
This release also adds recommendations for specific parameters within DB Parameter Groups, across all Amazon RDS engines. For example, it will flag non-default custom memory parameters or query cache settings.
RDS Recommendations are presented in the Amazon RDS Management Console, and you can choose to apply, schedule, or dismiss them. For more information, read the Recommendations documentation for Amazon RDS and Amazon Aurora.
Amazon RDS makes it easy to set up, operate, and scale database deployments in the cloud. See Amazon RDS Pricing for regional availability.