Multi-AZ deployments for Amazon RDS for Microsoft SQL Server
Multi-AZ deployments provide increased availability, data durability, and fault tolerance for DB instances. In the event of planned database maintenance or unplanned service disruption, Amazon RDS automatically fails over to the up-to-date secondary DB instance. This functionality lets database operations resume quickly without manual intervention. The primary and standby instances use the same endpoint, whose physical network address transitions to the secondary replica as part of the failover process. You don't have to reconfigure your application when a failover occurs.
Amazon RDS supports Multi-AZ deployments for Microsoft SQL Server by using either SQL Server Database Mirroring (DBM) or Always On Availability Groups (AGs). Amazon RDS monitors and maintains the health of your Multi-AZ deployment. If problems occur, RDS automatically repairs unhealthy DB instances, reestablishes synchronization, and initiates failovers. Failover only occurs if the standby and primary are fully in sync. You don't have to manage anything.
When you set up SQL Server Multi-AZ, RDS automatically configures all databases on the instance to use DBM or AGs. Amazon RDS handles the primary, the witness, and the secondary DB instance for you. Because configuration is automatic, RDS selects DBM or Always On AGs based on the version of SQL Server that you deploy.
Amazon RDS supports Multi-AZ with Always On AGs for the following SQL Server versions and editions:
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SQL Server 2022:
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Standard Edition
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Enterprise Edition
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SQL Server 2019:
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Standard Edition 15.00.4073.23 and higher
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Enterprise Edition
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SQL Server 2017:
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Standard Edition 14.00.3401.7 and higher
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Enterprise Edition 14.00.3049.1 and higher
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SQL Server 2016: Enterprise Edition 13.00.5216.0 and higher
Amazon RDS supports Multi-AZ with DBM for the following SQL Server versions and editions, except for the versions noted previously:
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SQL Server 2019: Standard Edition 15.00.4043.16
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SQL Server 2017: Standard and Enterprise Editions
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SQL Server 2016: Standard and Enterprise Editions
You can use the following SQL query to determine whether your SQL Server DB instance is Single-AZ, Multi-AZ with DBM, or Multi-AZ with Always On AGs.
SELECT CASE WHEN dm.mirroring_state_desc IS NOT NULL THEN 'Multi-AZ (Mirroring)' WHEN dhdrs.group_database_id IS NOT NULL THEN 'Multi-AZ (AlwaysOn)' ELSE 'Single-AZ' END 'high_availability' FROM sys.databases sd LEFT JOIN sys.database_mirroring dm ON sd.database_id = dm.database_id LEFT JOIN sys.dm_hadr_database_replica_states dhdrs ON sd.database_id = dhdrs.database_id AND dhdrs.is_local = 1 WHERE DB_NAME(sd.database_id) = 'rdsadmin';
The output resembles the following:
high_availability Multi-AZ (AlwaysOn)
Adding Multi-AZ to a Microsoft SQL Server DB instance
When you create a new SQL Server DB instance using the AWS Management Console, you can add Multi-AZ with Database Mirroring (DBM) or Always On AGs. You do so by choosing Yes (Mirroring / Always On) from Multi-AZ deployment. For more information, see Creating an Amazon RDS DB instance.
When you modify an existing SQL Server DB instance using the console, you can add Multi-AZ with DBM or AGs by choosing Yes (Mirroring / Always On) from Multi-AZ deployment on the Modify DB instance page. For more information, see Modifying an Amazon RDS DB instance.
Note
If your DB instance is running Database Mirroring (DBM)—not Always On Availability Groups (AGs)—you might need to disable in-memory optimization before you add Multi-AZ. Disable in-memory optimization with DBM before you add Multi-AZ if your DB instance runs SQL Server 2016 or 2017 Enterprise Edition and has in-memory optimization enabled.
If your DB instance is running AGs, it doesn't require this step.
Removing Multi-AZ from a Microsoft SQL Server DB instance
When you modify an existing SQL Server DB instance using the AWS Management Console, you can remove Multi-AZ with DBM or AGs. You can do this by choosing No (Mirroring / Always On) from Multi-AZ deployment on the Modify DB instance page. For more information, see Modifying an Amazon RDS DB instance.