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. These enhanced autonomics features are available at no additional cost for Amazon Redshift customers.
This feature is available in all AWS Regions that support Amazon Redshift. To learn more, see the Amazon Redshift Management Guide.
Categories: general:products/amazon-redshift,marketing:marchitecture/analytics
Source: Amazon Web Services
Latest Posts
- Amazon Connect expands agentic speech-to-speech voice experiences to the London (Europe) region and adds three new voices
- Amazon Connect voice AI agents now supports 13 new languages
- Simplified permissions for Amazon S3 Tables and Iceberg materialized views
- New admin control for AI‑generated code previews in Microsoft 365 Copilot Pages [MC1254560]
