Amazon Redshift Adds Option to Allocate Extra Compute for Automatic Optimizations

Amazon Web Services has introduced a new option in Amazon Redshift that allows customers to allocate additional compute resources specifically for automatic optimizations, known as autonomics. The feature enables Redshift to run background optimization tasks, such as statistics updates, sort key improvements, and other performance enhancements, without competing with active query workloads. The goal is to help customers maintain consistent query performance while continuing to benefit from automated tuning. Redshift workloads can allocate additional resources to enable autonomics, eliminating the need for manually scheduled optimizations such as ATO, ATS, Auto Vacuum and  Auto Analyze.

As analytics environments grow in size and complexity, many organizations rely on automation to reduce the operational burden of performance management. While Redshift has long provided automatic optimizations, those processes can still consume resources that might otherwise be used for queries during peak periods. By allowing dedicated compute allocation for optimizations, AWS is giving customers more control over how and when performance improvements are applied. For data engineers and platform teams, the update supports more predictable analytics performance while preserving the benefits of a managed, self-optimizing data warehouse. The feature is available in all AWS regions where Amazon Redshift is supported.

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Posted by AWS Editors on 02/10/2026