Stop Over-Provisioning DynamoDB Capacity You Don't Use
RCUs and WCUs provisioned for peak load sit idle most of the time, and unused GSIs and wrong table classes quietly add to the bill. Sedai analyzes your DynamoDB environment and surfaces the right optimizations to act on.
DynamoDB Capacity Is Easy to Set, Hard to Right-Size.
DynamoDB's managed model removes significant operational burden — but capacity planning still requires ongoing attention. RCU and WCU settings get made for peak load and rarely revisited as usage evolves. Table-level decisions that affect cost — storage class, GSI retention, billing mode — don't optimize themselves.
Capacity units get set for peak and drift from reality over time.
Traffic patterns shift, application usage changes, and the original estimates stop reflecting actual behavior — but revising them requires analysis that competes with higher-visibility engineering work.
GSIs accumulate long after applications stop querying them.
An index created for a feature that was later retired continues generating storage and write costs indefinitely. Auditing GSI usage across a large table inventory is rarely done on a regular cadence.
Billing mode and storage class decisions rarely get revisited.
A table in Provisioned mode might be cheaper in On-Demand as access patterns become spikier. A Standard table might qualify for Standard-IA. These are tractable optimizations — but only if someone is continuously analyzing the data.
How We Help
Provisioned Capacity Rightsizing
Sedai analyzes historical read and write capacity consumption to identify over-provisioned tables and recommends RCU and WCU adjustments that eliminate waste without compromising performance.
Unused Index Detection
Sedai monitors GSI access patterns and flags indexes with no sustained query activity, surfacing deletion candidates before they continue accumulating storage and throughput costs indefinitely.
Table Class Optimization
Sedai analyzes table access frequency to identify candidates for Standard-IA, recommending the switch where the cost structure better matches actual usage patterns.