Amazon DocumentDB Serverless now provides up to 35% higher throughput
Amazon DocumentDB Serverless increases throughput by up to 35% with platform version 4, allowing controlled upgrades for existing clusters.
Amazon DocumentDB Serverless now supports platform version 4, which delivers up to 35% higher throughput compared to previous versions. This update enhances performance for serverless clusters by improving scaling capabilities and operational efficiency. The platform version is managed automatically at the cluster level, ensuring consistent benefits across all deployments. New clusters launch directly on version 4, while existing clusters on version 3 can be upgraded through a pending maintenance action.
Existing DocumentDB Serverless clusters running on platform version 3 can be upgraded to version 4 using the serverless-platform-version-update action. This update provides flexibility, allowing administrators to apply changes immediately or schedule them during maintenance windows. The upgrade process is irreversible, meaning clusters cannot revert to version 3 after transitioning to version 4. This ensures long-term stability and performance improvements for production workloads.
The platform version of a DocumentDB Serverless cluster can be verified in the AWS Management Console or via the ServerlessV2PlatformVersion field in the DescribeDBClusters API response. This transparency helps users confirm their cluster’s current version and track upgrades. AWS documentation provides guidance on monitoring and managing platform versions to maintain optimal performance. The upgrade process is designed to minimize disruption while delivering measurable throughput gains.
Amazon DocumentDB Serverless scaling capacity documentation outlines the performance benefits of platform version 4, including reduced latency and improved resource utilization. Users are encouraged to review the upgrade steps and compatibility requirements before applying changes. AWS emphasizes the importance of testing upgrades in non-production environments to validate performance impacts. Additional resources are available to assist with cluster management and version tracking.