

# Overview of backing up and restoring an Aurora DB cluster
Overview of backing up and restoring

The following topics describe Aurora backups and how to restore your Aurora DB cluster.

**Contents**
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## Backups
](#Aurora.Managing.Backups.Backup)
  + [

### Using AWS Backup
](#AuroraBackups.BKP)
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## Backup window
](#Aurora.Managing.Backups.BackupWindow)
+ [

## Restoring data
](#Aurora.Managing.Backups.Restore)
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## Database cloning for Aurora
](#Aurora.Managing.Backups.Restore.Cloning)
+ [

## Backtrack
](#Aurora.Managing.Backups.Backtrack)

## Backups


Aurora backs up your cluster volume automatically and retains restore data for the length of the *backup retention period*. Aurora automated backups are continuous and incremental, so you can quickly restore to any point within the backup retention period. No performance impact or interruption of database service occurs as backup data is being written. You can specify a backup retention period from 1–35 days when you create or modify or restore a DB cluster. Aurora automated backups are stored in Amazon S3. For more information about retaining automated backups, see [Retaining automated backups](Aurora.Managing.Backups.Retaining.md).

If you want to retain data beyond the backup retention period, you can take a snapshot of the data in your cluster volume. Aurora DB cluster snapshots don't expire. You can create a new DB cluster from the snapshot. For more information, see [Creating a DB cluster snapshot](USER_CreateSnapshotCluster.md).

During restore operations, you have the option to specify a backup retention period for your Amazon Aurora DB cluster. When you don't explicitly set this value, the restored cluster inherits the backup retention period from the source snapshot or cluster. Note that this inheritance behavior is unique to restore operations—when creating a new cluster, the system applies default retention periods instead.

**Note**  
For Amazon Aurora DB clusters, the default backup retention period is one day regardless of how the DB cluster is created.
You can't disable automated backups on Aurora. The backup retention period for Aurora is managed by the DB cluster.

 Your costs for backup storage depend upon the amount of Aurora backup and snapshot data you keep and how long you keep it. For information about the storage associated with Aurora backups and snapshots, see [Understanding Amazon Aurora backup storage usage](aurora-storage-backup.md). For pricing information about Aurora backup storage, see [Amazon RDS for Aurora pricing](https://aws.amazon.com/rds/aurora/pricing). After the Aurora cluster associated with a snapshot is deleted, storing that snapshot incurs the standard backup storage charges for Aurora. 

### Using AWS Backup


You can use AWS Backup to manage backups of Amazon Aurora DB clusters.

Snapshots managed by AWS Backup are considered manual DB cluster snapshots, but don't count toward the DB cluster snapshot quota for Aurora. Snapshots that were created with AWS Backup have names with `awsbackup:job-AWS-Backup-job-number`. For more information about AWS Backup, see the [https://docs.aws.amazon.com/aws-backup/latest/devguide](https://docs.aws.amazon.com/aws-backup/latest/devguide).

You can also use AWS Backup to manage automated backups of Amazon Aurora DB clusters. If your DB cluster is associated with a backup plan in AWS Backup, you can use that backup plan for point-in-time recovery. Automated (continuous) backups that are managed by AWS Backup have names with `continuous:cluster-AWS-Backup-job-number`. For more information, see [Restoring a DB cluster to a specified time using AWS Backup](aurora-pitr-bkp.md).

## Backup window


Automated backups occur daily during the preferred backup window. If the backup requires more time than allotted to the backup window, the backup continues after the window ends, until it finishes. The backup window can't overlap with the weekly maintenance window for the DB cluster.

Aurora automated 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 the backup to preserve it outside of the retention period.

**Note**  
When you create a DB cluster using the AWS Management Console, you can't specify a backup window. However, you can specify a backup window when you create a DB cluster using the AWS CLI or RDS API.

If you don't specify a preferred backup window when you create the DB cluster, Aurora assigns a default 30-minute backup window. This window is selected at random from an 8-hour block of time for each AWS Region. The following table lists the time blocks for each AWS Region from which the default backup windows are assigned.


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[\[See the AWS documentation website for more details\]](http://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Managing.Backups.html)

## Restoring data


You can recover your data by creating a new Aurora DB cluster from the backup data that Aurora retains, from a DB cluster snapshot that you have saved, or from a retained automated backup. You can quickly restore a new copy of a DB cluster created from backup data to any point in time during your backup retention period. Because Aurora backups are continuous and incremental during the backup retention period, you don't need to take frequent snapshots of your data to improve restore times.

The *latest restorable time* for a DB cluster is the most recent point to which you can restore your DB cluster. This is typically within 5 minutes of the current time for an active DB cluster, or 5 minutes of the cluster deletion time for a retained automated backup.

The *earliest restorable time* specifies how far back within the backup retention period that you can restore your cluster volume.

To determine the latest or earliest restorable time for a DB cluster, look for the `Latest restorable time` or `Earliest restorable time` values on the RDS console. For information about viewing these values, see [Viewing retained automated backups for Amazon Aurora](Aurora.Managing.Backups.Retaining.Viewing.md).

You can determine when the restore of a DB cluster is complete by checking the `Latest restorable time` and `Earliest restorable time` values. These values return NULL until the restore operation is complete. You can't request a backup or restore operation if either `Latest restorable time` or `Earliest restorable time` returns NULL.

For information about restoring a DB cluster to a specified time, see [Restoring a DB cluster to a specified time](aurora-pitr.md).

## Database cloning for Aurora
Database cloning

You can also use database cloning to clone the databases of your Aurora DB cluster to a new DB cluster, instead of restoring a DB cluster snapshot. The clone databases use only minimal additional space when first created. Data is copied only as data changes, either on the source databases or on the clone databases. You can make multiple clones from the same DB cluster, or create additional clones even from other clones. For more information, see [Cloning a volume for an Amazon Aurora DB cluster](Aurora.Managing.Clone.md).

## Backtrack


Aurora MySQL now supports "rewinding" a DB cluster to a specific time, without restoring data from a backup. For more information, see [Backtracking an Aurora DB cluster](AuroraMySQL.Managing.Backtrack.md).