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Resilience in Amazon Redshift - Amazon Redshift

Resilience in Amazon Redshift

The AWS global infrastructure is built around AWS Regions and Availability Zones (AZs). AWS Regions provide multiple, physically separated and isolated Availability Zones that are connected with low latency, high throughput, and highly redundant networking. With Availability Zones, you can design and operate applications and databases that automatically fail over between Availability Zones without interruption. Availability Zones are more highly available, fault tolerant, and scalable than traditional single data center infrastructures or multiple data center infrastructures.

Almost all AWS Regions have multiple Availability Zones and data centers. You can deploy your applications across multiple Availability Zones in the same Region for fault tolerance and low latency.

To move a cluster to another Availability Zone without any loss of data or changes to your applications, you can set up relocation for your cluster. With relocation, you can continue operations when there is an interruption of service on your cluster with minimal impact. When cluster relocation is turned on, Amazon Redshift might choose to relocate clusters in some situations. For more information on relocation in Amazon Redshift, see Relocating a cluster.

In failure scenarios where an unexpected event happens in an Availability Zone, you can set up a multiple Availability Zones (Multi-AZ) deployment to ensure that your Amazon Redshift data warehouse can continue operating. Amazon Redshift deploys equal compute resources in two Availability Zones that can be accessed through a single endpoint. In the event of an entire Availability Zone failure, the remaining compute resources in the second Availability Zone will be available to continue processing workloads. For more information on Multi-AZ deployments, see Multi-AZ deployment.

For more information on AWS Regions and Availability Zones, see AWS global infrastructure. For more information on using Amazon Redshift for disaster recovery, see Implement disaster recovery with Amazon Redshift.

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