Multi-AZ DB instance deployments - Amazon Relational Database Service
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Multi-AZ DB instance deployments

Amazon RDS provides high availability and failover support for DB instances using Multi-AZ deployments with a single standby DB instance. This type of deployment is called a Multi-AZ DB instance deployment. Amazon RDS uses several different technologies to provide this failover support. Multi-AZ deployments for MariaDB, MySQL, Oracle, and PostgreSQL DB instances use the Amazon failover technology. Microsoft SQL Server DB instances use SQL Server Database Mirroring (DBM) or Always On Availability Groups (AGs). For information on SQL Server version support for Multi-AZ, see Multi-AZ deployments for Amazon RDS for Microsoft SQL Server.

In a Multi-AZ DB instance deployment, Amazon RDS automatically provisions and maintains a synchronous standby replica in a different Availability Zone. The primary DB instance is synchronously replicated across Availability Zones to a standby replica to provide data redundancy and minimize latency spikes during system backups. Running a DB instance with high availability can enhance availability during planned system maintenance. It can also help protect your databases against DB instance failure and Availability Zone disruption. For more information on Availability Zones, see Regions, Availability Zones, and Local Zones.


The high availability option isn't a scaling solution for read-only scenarios. You can't use a standby replica to serve read traffic. To serve read-only traffic, use a Multi-AZ DB cluster or a read replica instead. For more information about Multi-AZ DB clusters, see Multi-AZ DB cluster deployments. For more information about read replicas, see Working with read replicas.

			High availability scenario

Using the RDS console, you can create a Multi-AZ DB instance deployment by simply specifying Multi-AZ when creating a DB instance. You can use the console to convert existing DB instances to Multi-AZ DB instance deployments by modifying the DB instance and specifying the Multi-AZ option. You can also specify a Multi-AZ DB instance deployment with the Amazon CLI or Amazon RDS API. Use the create-db-instance or modify-db-instance CLI command, or the CreateDBInstance or ModifyDBInstance API operation.

The RDS console shows the Availability Zone of the standby replica (called the secondary AZ). You can also use the describe-db-instances CLI command or the DescribeDBInstances API operation to find the secondary AZ.

DB instances using Multi-AZ DB instance deployments can have increased write and commit latency compared to a Single-AZ deployment. This can happen because of the synchronous data replication that occurs. You might have a change in latency if your deployment fails over to the standby replica, although Amazon is engineered with low-latency network connectivity between Availability Zones. For production workloads, we recommend that you use Provisioned IOPS (input/output operations per second) for fast, consistent performance. For more information about DB instance classes, see DB instance classes.

Modifying a DB instance to be a Multi-AZ DB instance deployment

If you have a DB instance in a Single-AZ deployment and modify it to a Multi-AZ DB instance deployment (for engines other than Amazon Aurora), Amazon RDS takes several steps. First, Amazon RDS takes a snapshot of the primary DB instance from your deployment and then restores the snapshot into another Availability Zone. Amazon RDS then sets up synchronous replication between your primary DB instance and the new DB instance.

For information about modifying a DB instance, see Modifying an Amazon RDS DB instance.


This action avoids downtime when you convert from Single-AZ to Multi-AZ, but you can experience a performance impact during and after converting to Multi-AZ. This impact can be significant for workloads that are sensitive to write latency.

To turn on Multi-AZ for a DB instance, RDS takes a snapshot of the primary DB instance's Amazon EBS volume and restores it on the newly created standby replica. RDS then synchronizes both volumes. New volumes created from existing EBS snapshots load lazily in the background. This capability lets large volumes be restored from a snapshot quickly, but it can add latency during the modification and after it's complete. For more information, see Restoring an Amazon EBS volume from a snapshot in the Amazon EC2 documentation.

To reduce the impact on latency-sensitive workloads, we recommend that, during a maintenance window or at a time of reduced workload, you first modify the DB instance to use the Provisioned IOPS storage type. Set the amount of Provisioned IOPS storage substantially higher than your workload requires. Next, initiate the modification to Multi-AZ deployment. After it completes, failover to the newly created AZ, where you can then execute full table scan queries to expedite the loading of the necessary data into the new storage volumes.

To avoid the performance impact on the DB instance currently serving the sensitive workload, create a read replica, enable backups on the read replica, modify the replica to Multi-AZ, run queries that load the data into the read replica's volumes (on both AZs), and then cut the workload over to the read replica.

After the modification is complete, Amazon RDS triggers an event (RDS-EVENT-0025) that indicates the process is complete. You can monitor Amazon RDS events. For more information about events, see Working with Amazon RDS event notification.

Failover process for Amazon RDS

If a planned or unplanned outage of your DB instance results from an infrastructure defect, Amazon RDS automatically switches to a standby replica in another Availability Zone if you have turned on Multi-AZ. The time that it takes for the failover to complete depends on the database activity and other conditions at the time the primary DB instance became unavailable. Failover times are typically 60–120 seconds. However, large transactions or a lengthy recovery process can increase failover time. When the failover is complete, it can take additional time for the RDS console to reflect the new Availability Zone.


You can force a failover manually when you reboot a DB instance. For more information, see Rebooting a DB instance.

Amazon RDS handles failovers automatically so you can resume database operations as quickly as possible without administrative intervention. The primary DB instance switches over automatically to the standby replica if any of the conditions described in the following table occurs. You can view these failover reasons in the event log.

Failover reason Description
The operating system underlying the RDS database instance is being patched in an offline operation.

A failover was triggered during the maintenance window for an OS patch or a security update.

For more information, see Maintaining a DB instance.

The primary host of the RDS Multi-AZ instance is unhealthy. The Multi-AZ DB instance deployment detected an impaired primary DB instance and failed over.
The primary host of the RDS Multi-AZ instance is unreachable due to loss of network connectivity.

RDS monitoring detected a network reachability failure to the primary DB instance and triggered a failover.

The RDS instance was modified by customer.

An RDS DB instance modification triggered a failover.

For more information, see Modifying an Amazon RDS DB instance.

The RDS Multi-AZ primary instance is busy and unresponsive.

The primary DB instance is unresponsive. We recommend that you do the following:

For more information on these recommendations, see Overview of monitoring metrics in Amazon RDS and Best practices for Amazon RDS.

The storage volume underlying the primary host of the RDS Multi-AZ instance experienced a failure. The Multi-AZ DB instance deployment detected a storage issue on the primary DB instance and failed over.
The user requested a failover of the DB instance.

You rebooted the DB instance and chose Reboot with failover.

For more information, see Rebooting a DB instance.

To determine if your Multi-AZ DB instance has failed over, you can do the following:

  • Set up DB event subscriptions to notify you by email or SMS that a failover has been initiated. For more information about events, see Working with Amazon RDS event notification.

  • View your DB events by using the RDS console or API operations.

  • View the current state of your Multi-AZ DB instance deployment by using the RDS console or API operations.

For information on how you can respond to failovers, reduce recovery time, and other best practices for Amazon RDS, see Best practices for Amazon RDS.

Setting the JVM TTL for DNS name lookups

The failover mechanism automatically changes the Domain Name System (DNS) record of the DB instance to point to the standby DB instance. As a result, you need to re-establish any existing connections to your DB instance. In a Java virtual machine (JVM) environment, due to how the Java DNS caching mechanism works, you might need to reconfigure JVM settings.

The JVM caches DNS name lookups. When the JVM resolves a host name to an IP address, it caches the IP address for a specified period of time, known as the time-to-live (TTL).

Because Amazon resources use DNS name entries that occasionally change, we recommend that you configure your JVM with a TTL value of no more than 60 seconds. Doing this makes sure that when a resource's IP address changes, your application can receive and use the resource's new IP address by requerying the DNS.

On some Java configurations, the JVM default TTL is set so that it never refreshes DNS entries until the JVM is restarted. Thus, if the IP address for an Amazon resource changes while your application is still running, it can't use that resource until you manually restart the JVM and the cached IP information is refreshed. In this case, it's crucial to set the JVM's TTL so that it periodically refreshes its cached IP information.


The default TTL can vary according to the version of your JVM and whether a security manager is installed. Many JVMs provide a default TTL less than 60 seconds. If you're using such a JVM and not using a security manager, you can ignore the rest of this topic. For more information on security managers in Oracle, see The security manager in the Oracle documentation.

To modify the JVM's TTL, set the networkaddress.cache.ttl property value. Use one of the following methods, depending on your needs:

  • To set the property value globally for all applications that use the JVM, set networkaddress.cache.ttl in the $JAVA_HOME/jre/lib/security/ file.

  • To set the property locally for your application only, set networkaddress.cache.ttl in your application's initialization code before any network connections are established."networkaddress.cache.ttl" , "60");