Optimize your workloads with Amazon Redshift Serverless AI-driven scaling and optimization

The article discusses how Amazon Redshift Serverless utilizes a new AI-driven scaling and optimization feature to automatically scale compute resources based on factors like data volume, query complexity, and expected data scan, to meet desired price-performance targets.

Specifically, the article covers:

• Overview of the AI-driven scaling and optimization feature with a price-performance slider
• Use case 1: Scaling compute based on query complexity for a long-running complex query
• Use case 2: Scaling compute based on data volume for a data ingestion job with increased volume
• Use case 3: Scaling compute for data lake queries scanning large datasets from Amazon S3
• Considerations for choosing the desired price-performance target with the slider
• Monitoring the scaled compute capacity