An e-commerce company uses a relational database. The workload is usually low but occasionally surges to millions of read requests during flash sales. The company wants a managed, cost-efficient solution that automatically scales compute and memory capacity without pre-provisioning read replicas or instances. Which AWS option meets these requirements?
Amazon RDS Multi-AZ deployment with provisioned instances
Amazon DynamoDB with on-demand capacity mode
Amazon Aurora Serverless
Self-managed database on Amazon EC2 with Reserved Instances
Amazon Aurora Serverless automatically adjusts capacity in fine-grained Aurora Capacity Units (ACUs) to match real-time demand for relational workloads, and you pay only for the resources consumed. This eliminates the need to size for peak load or manage read replicas manually. A Multi-AZ RDS deployment with provisioned instances and a self-managed database on Amazon EC2 both require provisioning for peak traffic, which is less cost-efficient and entails manual scaling. DynamoDB on-demand also scales automatically, but it is a NoSQL key-value service and therefore not a direct fit for an existing relational workload.
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