Configure cross-Region snapshots of the source Amazon Redshift cluster before the cutover deadline.The solution includes the following steps: The following diagram illustrates the architecture for cross-Region migration within the same AWS account. Cross-Region snapshot functionality can also be useful for setting up disaster recovery for your Amazon Redshift cluster. For more information, refer to Amazon Redshift snapshots. When a snapshot is copied to another Region, it can also act as a standalone, which means that even if only the latest snapshot is copied to the target Region, the restored Amazon Redshift cluster still has all the data. The copy time is relative to the amount of data that has changed since the last snapshot. Snapshots are incremental by nature and track changes to the cluster since the previous snapshot.
This can help with your planning process.Īfter you copy the snapshots to the target Region, you can restore the latest snapshot to create a new Amazon Redshift cluster. Before the migration, it’s a good idea to estimate how much time it takes to copy over snapshots to the target Region by testing with similar or larger size datasets in your staging environments. The time taken to copy over the snapshots depends on the size of the snapshot. You should plan for the maintenance window to be during a period of low or no write activity to minimize downtime.
Copying from one redshift cluster to another manual#
The idea is to take multiple manual snapshots of your Amazon Redshift cluster before the cutover deadline to ensure minimal data loss and to migrate the cluster to another Region within the defined maintenance window. This solution uses the cross-Region snapshot feature of Amazon Redshift to perform inter-Region migration. This post provides a step-by-step approach to migrate your Amazon Redshift cluster to another Region using the snapshot functionality. Some of the common reasons include provisioning their clusters geographically closer to their user base to improve latency, for cost-optimization purposes by deploying their clusters in a Region where the pricing is lower, or for migrating clusters to a Region where the rest of their deployments are.
Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS designed hardware and machine learning (ML) to deliver the best price-performance at any scale.Ĭustomers have reached out to us with a need to migrate their Amazon Redshift clusters from one AWS Region to another. Amazon Redshift is a fast, fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools.
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