AWS Aurora PostgreSQL backup and restore supports PITR, snapshots, and AWS Backup. Our PostgreSQL Support team is ready to assist you.

AWS Aurora PostgreSQL Backup and Restore

Amazon Aurora PostgreSQL offers powerful backup and restore capabilities, ensuring your data remains safe and recoverable. First, automatic backups allow for rapid point-in-time recovery by operating continually in the background. Furthermore, manual snapshots offer customizable recovery points and long-term preservation. Additionally, centralizing management with AWS Backup integration facilitates effective and seamless disaster recovery.

Automated Backups in Amazon Aurora PostgreSQL

By constantly taking incremental snapshots of your cluster and saving them in Amazon S3, Amazon Aurora PostgreSQL-Compatible Edition simplifies and ensures the reliability of backups. Performance is never impacted because this process operates in the background. The retention period can be chosen from 1 to 35 days, and Aurora retains the backups until the end of that time even if a cluster is deleted. You cannot turn off backups because they are an integral part of its architecture. Simply execute point-in-time recovery and construct a new cluster from your selected backup using the AWS Management Console, CLI, or API when you need to restore.

Restore Options in Amazon Aurora PostgreSQL

For a variety of recovery requirements, Amazon Aurora PostgreSQL offers several restore solutions. For testing or disaster recovery, you can restore entire clusters from snapshots, or you can utilize point-in-time recovery to go back to any point during your retention period. In-place or out-of-place individual table restores provide focused recovery without compromising the entire database. Additional flexibility is provided by native PostgreSQL functions like pg_dump and pg_restore. To ensure a seamless and safe restoration process, always verify backup retention, security groups, VPC settings, and parameter groups.

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Step-by-Step Backup and Restore Process

1. 1. Cluster volume is automatically backed up by Aurora, which also keeps incremental restore data for 1–35 days without compromising performance. You can restore your cluster to any point in time throughout the retention period using these backups.
   2. Make manual Aurora cluster snapshots for long-term backup requirements. When necessary, you can establish new database clusters or archive data using these snapshots, which are accessible after the retention period.
   3. Restore data from a snapshot or a particular moment in time using the AWS Management Console. Just update your apps to the new endpoint, as this operation always produces a new cluster. Until the restore status is “available,” keep an eye on it.

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Conclusion

AWS Aurora PostgreSQL backup and restore offers automated backups, manual snapshots, and point-in-time recovery for secure, efficient data protection. Clusters or datasets can be swiftly restored using the AWS UI, CLI, or API. Reliable database recovery, low downtime, and high availability are ensured by appropriate retention settings and monitoring.

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