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Cluster operations - Amazon Redshift
Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions, see Getting Started with Amazon Web Services in China (PDF).

Amazon Redshift will no longer support the use of Python UDFs after June 30, 2026. We will start enforcing it in phases. For more information on the details of Python end of life and migration options, see the blog post that was published on June 30, 2025.

Cluster operations

After you create a cluster, you can perform cluster operations to optimize performance, control costs, and ensure high availability. Cluster operations allow you to resize, pause, resume, or even recreate clusters as your data warehousing needs evolve.

Common use cases include scaling compute capacity for peak workloads, pausing clusters during inactive periods to reduce costs, and recreating clusters with different configurations or in different Availability Zones for disaster recovery. The following sections cover the details of performing various cluster operations to effectively manage your Amazon Redshift environment.