Amazon Redshift now supports autonomics for multi-cluster environments

Amazon Redshift Autonomics for Multi-Cluster Environments

Amazon Redshift now supports autonomics—automatic optimization features—for multi-cluster environments. Database administrators managing distributed Amazon Redshift workloads can now benefit from autonomics that work intelligently across multiple warehouses, eliminating manual performance tuning across consumer clusters.

This launch extends Amazon Redshift's autonomics capabilities, including Automatic Table Optimization (ATO), Automatic Table Sorting (ATS), Auto Vacuum, and Auto Analyze, to consider query patterns from all consumer clusters when managing table layouts and maintenance operations. Organizations where multiple business units access shared data can benefit from holistic optimization that considers all workload patterns, reducing manual optimization processes.

This launch also includes a denylist feature, allowing you to exclude specific endpoints or AWS accounts from influencing optimization decisions—particularly useful for cross-organizational data sharing scenarios.

What to do

• Review the Amazon Redshift Management Guide for more information.

Source: AWS release notes

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