Amazon Redshift Serverless is a pay-per-use serverless data warehousing service that eliminates the need for manual cluster provisioning and management.
The key innovation of Redshift Serverless is its ability to automatically scale compute up or down based on your workload demands, maintaining optimal performance and cost-efficiency without manual intervention.
Redshift Serverless now has a default 128 RPUs, capable of analyzing petabytes of data and can be scaled up to 10 times the base capacity.
In this post, we explore the new higher base capacity of 1024 RPUs in Redshift Serverless, which doubles the previous maximum of 512 RPUs.
The need for 1024 RPUs is driven by the increasing integration of data warehouses with data lakes and other distributed data sources, that add to the overall computational burden.
The 1024 RPU configuration delivers the necessary performance to meet demanding service level agreements (SLAs) and provide timely data availability for downstream business intelligence and decision-making processes.
The 1024 RPU configuration can significantly improve query completion times, queries performing faster, resulting in faster connections ending.
Redshift Serverless offers a price-performance target that balances performance and cost to meet your organization’s unique data warehousing needs.
Organizations should evaluate their current data warehousing needs and consider running a proof of concept with the 1024 RPU configuration.
If appropriately applied, Redshift Serverless could unlock new levels of performance and cost-efficiency in data warehousing operations for businesses.