AWS is giving its managed database environment Aurora an update that helps customers save more on their cloud costs, especially when migrating workloads of data-intensive applications.

The newly introduced version of Amazon Aurora I/O-Optimized helps users of the managed relational database environment reduce their cloud costs for data-intensive applications – specifically for the I/O operations required.

New pricing

The cost savings are achieved through a new pricing model. In the standard version of Aurora, costs are based on the number and type of instances and storage used. Users also pay for each I/O operation.

With the new version, charges for the number of instances and storage consumption used remain, but users are no longer charged for I/O operations. The latter means that I/O-intensive applications can run more cheaply. According to the tech giant, this allows for a cost reduction of up to 40%. It also makes it easier for customers to predict their cloud expenses.

Another way to save costs is to run Amazon Aurora I/O-Optimized on Amazon EC2 Reserved Instances. These instances are cheaper than standard VMs. However, companies are required to purchase these specific instances for a longer term.

Also for existing deployments

Amazon Aurora I/O-Optimized is available for new deployments of relational database clusters and existing clusters. Customers can transfer an existing deployment to the Amazon Aurora I/O-Optimized version of the managed relational database environment every 30 days. This does not require the database instances to reboot, preventing downtime.

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