A company runs an application on AWS that uses an Amazon Aurora DB cluster. During peak hours when many users read data, monitoring shows write-query performance degradation. The company wants to increase scalability to handle peak demand cost-effectively. Which solution meets these requirements most cost-effectively?

Creating an Aurora read replica is the most cost-effective solution because Aurora read replicas share the same underlying storage volume as the primary instance. This allows for rapid provisioning and data consistency without the overhead of data replication, and they are specifically designed to offload read traffic from the primary instance, improving write performance. Updating the application to direct read-only queries to the replica endpoint and write queries to the cluster endpoint effectively distributes the load. Creating a second Aurora DB cluster with a copy job is less efficient and more complex for real-time read scaling, as data synchronization would be challenging and costly. An Amazon Dynamo