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Showing content from https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Modifying.html below:

Modifying an Amazon Aurora DB cluster

Auto minor version upgrade

Whether you want the DB instance to receive preferred minor engine version upgrades automatically when they become available. Upgrades are installed only during your scheduled maintenance window.

For more information about engine updates, see Database engine updates for Amazon Aurora PostgreSQL and Database engine updates for Amazon Aurora MySQL. For more information about the Auto minor version upgrade setting for Aurora MySQL, see Enabling automatic upgrades between minor Aurora MySQL versions.

Note

This setting is enabled by default. For each new cluster, choose the appropriate value for this setting based on its importance, expected lifetime, and the amount of verification testing that you do after each upgrade.

When you change this setting, perform this modification for every DB instance in your Aurora cluster. If any DB instance in your cluster has this setting turned off, the cluster isn't automatically upgraded.

Using the AWS Management Console, Modifying a DB instance in a DB cluster.

Using the AWS CLI, run modify-db-instance and set the --auto-minor-version-upgrade|--no-auto-minor-version-upgrade option.

Using the RDS API, call ModifyDBInstance and set the AutoMinorVersionUpgrade parameter.

The entire DB cluster

An outage doesn't occur during this change. Outages do occur during future maintenance windows when Aurora applies automatic upgrades.

Backup retention period

The number of days that automatic backups are retained. The minimum value is 1.

For more information, see Backups.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --backup-retention-period option.

Using the RDS API, call ModifyDBCluster and set the BackupRetentionPeriod parameter.

The entire DB cluster

An outage doesn't occur during this change.

Backup window (Start time)

The time range during which automated backups of your database occurs. The backup window is a start time in Universal Coordinated Time (UTC), and a duration in hours.

Aurora backups are continuous and incremental, but the backup window is used to create a daily system backup that is preserved within the backup retention period. You can copy it to preserve it outside of the retention period.

The maintenance window and the backup window for the DB cluster can't overlap.

For more information, see Backup window.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --preferred-backup-window option.

Using the RDS API, call ModifyDBCluster and set the PreferredBackupWindow parameter.

The entire DB cluster.

An outage doesn't occur during this change.

Capacity settings

The scaling properties of an Aurora Serverless v1 DB cluster. You can only modify scaling properties for DB clusters in serverless DB engine mode.

For information about Aurora Serverless v1, see Using Amazon Aurora Serverless v1.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --scaling-configuration option.

Using the RDS API, call ModifyDBCluster and set the ScalingConfiguration parameter.

The entire DB cluster

An outage doesn't occur during this change.

The change occurs immediately. This setting ignores the apply immediately setting.

Certificate authority

The certificate authority (CA) for the server certificate used by the DB instance.

Using the AWS Management Console, Modifying a DB instance in a DB cluster.

Using the AWS CLI, run modify-db-instance and set the --ca-certificate-identifier option.

Using the RDS API, call ModifyDBInstance and set the CACertificateIdentifier parameter.

Only the specified DB instance

An outage only occurs if the DB engine doesn't support rotation without restart. You can use the describe-db-engine-versions AWS CLI command to determine whether the DB engine supports rotation without restart.

Cluster storage configuration

The storage type for the DB cluster: Aurora I/O-Optimized or Aurora Standard.

For more information, see Storage configurations for Amazon Aurora DB clusters.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --storage-type option.

Using the RDS API, call ModifyDBCluster and set the StorageType parameter.

The entire DB cluster

Changing the storage type of an Aurora PostgreSQL DB cluster with Optimized Reads instance classes causes an outage. This does not occur when changing storage types for clusters with other instance class types. For more information on the DB instance class types, see DB instance class types.

Copy tags to snapshots

Select to specify that tags defined for this DB cluster are copied to DB snapshots created from this DB cluster. For more information, see Tagging Amazon Aurora and Amazon RDS resources.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run https://docs.aws.amazon.com/cli/latest/reference/rds/modify-db-cluster.html and set the --copy-tags-to-snapshot or --no-copy-tags-to-snapshot option.

Using the RDS API, call https://docs.aws.amazon.com/AmazonRDS/latest/APIReference/API_ModifyDBCluster.html and set the CopyTagsToSnapshot parameter.

The entire DB cluster

An outage doesn't occur during this change.

Data API

You can access Aurora Serverless v1 with web services–based applications, including AWS Lambda and AWS AppSync.

This setting only applies to an Aurora Serverless v1 DB cluster.

For more information, see Using the Amazon RDS Data API.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --enable-http-endpoint option.

Using the RDS API, call ModifyDBCluster and set the EnableHttpEndpoint parameter.

The entire DB cluster

An outage doesn't occur during this change.

Database authentication

The database authentication you want to use.

For MySQL:

For PostgreSQL:

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the following options:

Using the RDS API, call ModifyDBCluster and set the following parameters:

The entire DB cluster

An outage doesn't occur during this change.

Database port

The port that you want to use to access the DB cluster.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --port option.

Using the RDS API, call ModifyDBCluster and set the Port parameter.

The entire DB cluster

An outage occurs during this change. All of the DB instances in the DB cluster are rebooted immediately.

DB cluster identifier

The DB cluster identifier. This value is stored as a lowercase string.

When you change the DB cluster identifier, the DB cluster endpoints change. The endpoints of the DB instances in the DB cluster don't change.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --new-db-cluster-identifier option.

Using the RDS API, call ModifyDBCluster and set the NewDBClusterIdentifier parameter.

The entire DB cluster

An outage doesn't occur during this change.

DB cluster parameter group

The DB cluster parameter group that you want associated with the DB cluster.

For more information, see Parameter groups for Amazon Aurora.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --db-cluster-parameter-group-name option.

Using the RDS API, call ModifyDBCluster and set the DBClusterParameterGroupName parameter.

The entire DB cluster

An outage doesn't occur during this change. When you change the parameter group, changes to some parameters are applied to the DB instances in the DB cluster immediately without a reboot. Changes to other parameters are applied only after the DB instances in the DB cluster are rebooted.

DB instance class

The DB instance class that you want to use.

For more information, see Amazon Aurora DB instance classes.

Using the AWS Management Console, Modifying a DB instance in a DB cluster.

Using the AWS CLI, run modify-db-instance and set the --db-instance-class option.

Using the RDS API, call ModifyDBInstance and set the DBInstanceClass parameter.

Only the specified DB instance

An outage occurs during this change.

DB instance identifier

The DB instance identifier. This value is stored as a lowercase string.

Using the AWS Management Console, Modifying a DB instance in a DB cluster.

Using the AWS CLI, run modify-db-instance and set the --new-db-instance-identifier option.

Using the RDS API, call ModifyDBInstance and set the NewDBInstanceIdentifier parameter.

Only the specified DB instance

Downtime occurs during this change.

RDS restarts the DB instance to update the following:

DB parameter group

The DB parameter group that you want associated with the DB instance.

For more information, see Parameter groups for Amazon Aurora.

Using the AWS Management Console, Modifying a DB instance in a DB cluster.

Using the AWS CLI, run modify-db-instance and set the --db-parameter-group-name option.

Using the RDS API, call ModifyDBInstance and set the DBParameterGroupName parameter.

Only the specified DB instance

An outage doesn't occur during this change.

When you associate a new DB parameter group with a DB instance, the modified static and dynamic parameters are applied only after the DB instance is rebooted. However, if you modify dynamic parameters in the DB parameter group after you associate it with the DB instance, these changes are applied immediately without a reboot.

For more information, see Parameter groups for Amazon Aurora and Rebooting an Amazon Aurora DB cluster or Amazon Aurora DB instance.

Deletion protection

Enable deletion protection to prevent your DB cluster from being deleted. For more information, see Deletion protection for Aurora clusters.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --deletion-protection|--no-deletion-protection option.

Using the RDS API, call ModifyDBCluster and set the DeletionProtection parameter.

The entire DB cluster

An outage doesn't occur during this change.

Engine version

The version of the DB engine that you want to use. Before you upgrade your production DB cluster, we recommend that you test the upgrade process on a test DB cluster to verify its duration and to validate your applications.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --engine-version option.

Using the RDS API, call ModifyDBCluster and set the EngineVersion parameter.

The entire DB cluster

An outage occurs during this change.

Enhanced monitoring

Enable enhanced monitoring to enable gathering metrics in real time for the operating system that your DB instance runs on.

For more information, see Monitoring OS metrics with Enhanced Monitoring.

Using the AWS Management Console, Modifying a DB instance in a DB cluster.

Using the AWS CLI, run modify-db-instance and set the --monitoring-role-arn and --monitoring-interval options.

Using the RDS API, call ModifyDBInstance and set the MonitoringRoleArn and MonitoringInterval parameters.

Only the specified DB instance

An outage doesn't occur during this change.

Log exports

Select the log types to publish to Amazon CloudWatch Logs.

For more information, see Aurora MySQL database log files.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --cloudwatch-logs-export-configuration option.

Using the RDS API, call ModifyDBCluster and set the CloudwatchLogsExportConfiguration parameter.

The entire DB cluster

An outage doesn't occur during this change.

Maintenance window

The time range during which system maintenance occurs. System maintenance includes upgrades, if applicable. The maintenance window is a start time in Universal Coordinated Time (UTC), and a duration in hours.

If you set the window to the current time, there must be at least 30 minutes between the current time and end of the window to ensure any pending changes are applied.

You can set the maintenance window independently for the DB cluster and for each DB instance in the DB cluster. When the scope of a modification is the entire DB cluster, the modification is performed during the DB cluster maintenance window. When the scope of a modification is the a DB instance, the modification is performed during maintenance window of that DB instance.

The maintenance window and the backup window for the DB cluster can't overlap.

For more information, see Amazon RDS maintenance window.

To change the maintenance window for the DB cluster using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

To change the maintenance window for a DB instance using the AWS Management Console, Modifying a DB instance in a DB cluster.

To change the maintenance window for the DB cluster using the AWS CLI, run modify-db-cluster and set the --preferred-maintenance-window option.

To change the maintenance window for a DB instance using the AWS CLI, run modify-db-instance and set the --preferred-maintenance-window option.

To change the maintenance window for the DB cluster using the RDS API, call ModifyDBCluster and set the PreferredMaintenanceWindow parameter.

To change the maintenance window for a DB instance using the RDS API, call ModifyDBInstance and set the PreferredMaintenanceWindow parameter.

The entire DB cluster or a single DB instance

If there are one or more pending actions that cause an outage, and the maintenance window is changed to include the current time, then those pending actions are applied immediately, and an outage occurs.

Manage master credentials in AWS Secrets Manager

Select Manage master credentials in AWS Secrets Manager to manage the master user password in a secret in Secrets Manager.

Optionally, choose a KMS key to use to protect the secret. Choose from the KMS keys in your account, or enter the key from a different account.

For more information, see Password management with Amazon Aurora and AWS Secrets Manager.

If Aurora is already managing the master user password for the DB cluster, you can rotate the master user password by choosing Rotate secret immediately.

For more information, see Password management with Amazon Aurora and AWS Secrets Manager.

Using the AWS Management Console, Modifying a DB instance in a DB cluster.

Using the AWS CLI, run modify-db-cluster and set the --manage-master-user-password | --no-manage-master-user-password and --master-user-secret-kms-key-id options. To rotate the master user password immediately, set the --rotate-master-user-password option.

Using the RDS API, call ModifyDBCluster and set the ManageMasterUserPassword and MasterUserSecretKmsKeyId parameters. To rotate the master user password immediately, set the RotateMasterUserPassword parameter to true.

The entire DB cluster

An outage doesn't occur during this change.

Network type

The IP addressing protocols supported by the DB cluster.

IPv4 to specify that resources can communicate with the DB cluster only over the IPv4 addressing protocol.

Dual-stack mode to specify that resources can communicate with the DB cluster over IPv4, IPv6, or both. Use dual-stack mode if you have any resources that must communicate with your DB cluster over the IPv6 addressing protocol. To use dual-stack mode, make sure at least two subnets spanning two Availability Zones that support both the IPv4 and IPv6 network protocol. Also, make sure you associate an IPv6 CIDR block with subnets in the DB subnet group you specify.

For more information, see Amazon Aurora IP addressing.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --network-type option.

Using the RDS API, call ModifyDBCluster and set the NetworkType parameter.

The entire DB cluster

An outage doesn't occur during this change.

New master password

The password for your master user.

Using the AWS Management Console, Modifying a DB instance in a DB cluster.

Using the AWS CLI, run modify-db-cluster and set the --master-user-password option.

Using the RDS API, call ModifyDBCluster and set the MasterUserPassword parameter.

The entire DB cluster

An outage doesn't occur during this change.

Performance Insights

Whether to enable Performance Insights, a tool that monitors your DB instance load so that you can analyze and troubleshoot your database performance.

For more information, see Monitoring DB load with Performance Insights on Amazon Aurora.

Using the AWS Management Console, Modifying a DB instance in a DB cluster.

Using the AWS CLI, run modify-db-instance and set the --enable-performance-insights|--no-enable-performance-insights option.

Using the RDS API, call ModifyDBInstance and set the EnablePerformanceInsights parameter.

Only the specified DB instance

An outage doesn't occur during this change.

Performance Insights AWS KMS key

The AWS KMS key identifier for encryption of Performance Insights data. The KMS key identifier is the Amazon Resource Name (ARN), key identifier, or key alias for the KMS key.

For more information, see Turning Performance Insights on and off for Aurora.

Using the AWS Management Console, Modifying a DB instance in a DB cluster.

Using the AWS CLI, run modify-db-instance and set the --performance-insights-kms-key-id option.

Using the RDS API, call ModifyDBInstance and set the PerformanceInsightsKMSKeyId parameter.

Only the specified DB instance

An outage doesn't occur during this change.

Performance Insights retention period

The amount of time, in days, to retain Performance Insights data. The retention setting is Default (7 days). To retain your performance data for longer, specify 1–24 months. For more information about retention periods, see Pricing and data retention for Performance Insights.

For more information, see Turning Performance Insights on and off for Aurora.

Using the AWS Management Console, Modifying a DB instance in a DB cluster.

Using the AWS CLI, run modify-db-instance and set the --performance-insights-retention-period option.

Using the RDS API, call ModifyDBInstance and set the PerformanceInsightsRetentionPeriod parameter.

Only the specified DB instance

An outage doesn't occur during this change.

Promotion tier

A value that specifies the order in which an Aurora Replica is promoted to the primary instance in a DB cluster, after a failure of the existing primary instance.

For more information, see Fault tolerance for an Aurora DB cluster.

Using the AWS Management Console, Modifying a DB instance in a DB cluster.

Using the AWS CLI, run modify-db-instance and set the --promotion-tier option.

Using the RDS API, call ModifyDBInstance and set the PromotionTier parameter.

Only the specified DB instance

An outage doesn't occur during this change.

Public access

Publicly accessible to give the DB instance a public IP address, meaning that it's accessible outside the VPC. To be publicly accessible, the DB instance also has to be in a public subnet in the VPC.

Not publicly accessible to make the DB instance accessible only from inside the VPC.

For more information, see Hiding a DB cluster in a VPC from the internet.

To connect to a DB instance from outside of its Amazon VPC, the DB instance must be publicly accessible, access must be granted using the inbound rules of the DB instance's security group, and other requirements must be met. For more information, see Can't connect to Amazon RDS DB instance.

If your DB instance is isn't publicly accessible, you can also use an AWS Site-to-Site VPN connection or an AWS Direct Connect connection to access it from a private network. For more information, see Internetwork traffic privacy.

Using the AWS Management Console, Modifying a DB instance in a DB cluster.

Using the AWS CLI, run modify-db-instance and set the --publicly-accessible|--no-publicly-accessible option.

Using the RDS API, call ModifyDBInstance and set the PubliclyAccessible parameter.

Only the specified DB instance

An outage doesn't occur during this change.

Serverless v2 capacity settings

The database capacity of an Aurora Serverless v2 DB cluster, measured in Aurora Capacity Units (ACUs).

For more information, see Setting the Aurora Serverless v2 capacity range for a cluster.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --serverless-v2-scaling-configuration option.

Using the RDS API, call ModifyDBCluster and set the ServerlessV2ScalingConfiguration parameter.

The entire DB cluster

An outage doesn't occur during this change.

The change occurs immediately. This setting ignores the apply immediately setting.

Security group

The security group you want associated with the DB cluster.

For more information, see Controlling access with security groups.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --vpc-security-group-ids option.

Using the RDS API, call ModifyDBCluster and set the VpcSecurityGroupIds parameter.

The entire DB cluster

An outage doesn't occur during this change.

Target Backtrack window

The amount of time you want to be able to backtrack your DB cluster, in seconds. This setting is available only for Aurora MySQL and only if the DB cluster was created with Backtrack enabled.

Using the AWS Management Console, Modifying the DB cluster by using the console, CLI, and API.

Using the AWS CLI, run modify-db-cluster and set the --backtrack-window option.

Using the RDS API, call ModifyDBCluster and set the BacktrackWindow parameter.

The entire DB cluster

An outage doesn't occur during this change.


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