Question

A company runs a production DynamoDB table backing an internal reporting application. Usage is highly predictable during business hours (9 AM to 6 PM, Monday to Friday) with steady, well-understood read and write rates, and near-zero traffic outside those windows. The table is currently configured with on-demand capacity mode, and the finance team reports that DynamoDB costs are significantly higher than expected. The solutions architect must reduce cost while maintaining performance during business hours and avoiding throttling. Which approach best meets these requirements?

Accepted Answer

Switch the table to provisioned capacity mode and configure application auto scaling with scheduled scaling actions to raise capacity before business hours and lower it afterward.

Answer

Keep on-demand mode but enable DynamoDB Accelerator (DAX) to cache reads and reduce the number of billed read request units.

Answer

Switch to provisioned capacity mode with target-tracking auto scaling only, leaving capacity to react automatically to observed traffic.

Answer

Migrate the table data to Amazon S3 during off-hours and reload it into a new DynamoDB table each morning to avoid paying for idle capacity.