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Amazon Aurora serverless now scales faster to support agentic AI and other bursty workloads

Amazon Aurora serverless now reaches up to 12 ACUs within a second during scale-up events and scales down to zero after workload completion, ideal for agentic AI applications with bursty activity patterns

Amazon Aurora serverless now delivers higher initial capacity during scale-up events, reaching up to 12 ACUs within a second and continuing to scale up to 256 ACUs as your workload grows. When the workload finishes, Aurora serverless automatically scales down to zero. This makes it especially well-suited for agentic AI applications, which typically have bursts of activity, long idle windows, and unpredictable traffic patterns. Aurora serverless handles all of it automatically, scaling capacity with your agents, so you only pay for what you use. This enhancement is enabled by default on all Aurora serverless clusters running on platform version 3 or 4, with no configuration changes required. Existing clusters on platform versions 1 and 2 can upgrade directly to the latest platform version 4 to benefit from these improvements.

Read the original AWS announcement

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