Example DynamoDB cost audit findings
See a sample Dynasight-style DynamoDB cost audit with example findings for unused GSIs, scan-heavy workloads, and overprovisioned tables.
What does a Dynasight finding look like?
A Dynasight finding is a table-level review item that explains the DynamoDB signal, why it may affect cost or performance, and what an engineer should verify before making a change. This page uses sample data only.
- Review sample unused GSI, scan-heavy workload, and capacity findings.
- See how findings separate analysis from automatic changes.
- Use the examples to evaluate whether Dynasight fits your workflow.
Sample only
Transparent examples are better than fake case studies
This page intentionally avoids invented customer names or guaranteed savings. The examples show the shape of Dynasight findings using sample data so teams can understand the workflow before connecting AWS.
Unused GSI candidate
An index has no recent read activity but remains attached to storage and write paths.
Scan-heavy workload
A production access pattern repeatedly scans broad data and filters after reading.
Overprovisioned capacity
A provisioned table appears sized for traffic that no longer exists.
What real proof should include
When customer-approved data is available, the strongest proof assets will be anonymized before-and-after audits, resolved finding summaries, and implementation notes that explain what changed and what was verified.
FAQ
Common questions
Are these real customer results?
No. These are sample findings designed to show the product workflow without inventing customer proof.
What proof should teams look for?
Look for clear before-and-after context, the exact DynamoDB issue, what was changed, and how the result was verified.
Can Dynasight guarantee savings?
No. Dynasight identifies opportunities and prioritizes review work; actual savings depend on workload, implementation, and team decisions.
Keep exploring
Related DynamoDB optimization topics
Dynasight
Find DynamoDB waste before it becomes normal.
Connect read-only AWS access and turn DynamoDB cost, monitoring, and table design signals into prioritized engineering actions.