![]() The following table shows the current difference in storage cost for an Amazon RDS Custom for SQL Server in the us-east-1 Region: RDS Custom SQL Server Storage Cost (Single-AZ) How much that costs can be calculated using the AWS Pricing Calculator. This implies you will be paying for 5TB that are not being used. However, choosing that approach would incur higher cost because you cannot reclaim the 5 TB of storage allocated for the backup files. ![]() Then you can copy the backup files to the D: drive and restore the database. It prevents storage over-provisioning and lowers costs because you can reclaim the backup files space after database restore.įor example, if you have a database that is 10TB and the backup files adds up to 5TB, it is possible to provision an Amazon RDS Custom for SQL Server with 15TB allocated to it. You can also use this approach to migrate a multi-TB database even if the sum of the database and its backup files is less than 16TB. In this post, we show you how to successfully migrate a multi-TB database using Amazon Simple Storage Service (Amazon S3) and Amazon Elastic Block Store (Amazon EBS). For Information on Amazon RDS Custom for SQL Server storage constraints and how to adjust storage refer to Modifying the storage for an RDS Custom for SQL Server DB instance.Ī common challenge the customers have when migrating to Amazon RDS custom for SQL Server is when the database size plus the backup files are bigger than 16 TB. OverviewĪmazon RDS Custom for SQL Server has a default data drive (D:) that allows for up to 16TB of storage. The database administrator can use this access to enable native features such as SQL Common Language Runtime (CLR), configure OS settings, and install drivers, in order to migrate legacy, custom, and packaged applications. This is the first in a two-part series of posts on how to migrate a multi-TB database to Amazon Relational Database Services (Amazon RDS) Custom for SQL Server.Īmazon RDS Custom for SQL Server is a managed database service that automates setup, operation, backups, high availability, and scaling of databases while granting access to the database and underlying operating system (OS).
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