Definition
Storage costs include GB-month storage, request operations, replication, backups, and supporting infrastructure overhead.
Why it matters
Storage costs can look cheap at list price but become material once requests, replication, and p90 usage are included. If the cost model ignores those pieces, pricing can look safe while still leaking margin.
What storage costs do and do not tell you
Storage costs show the delivery floor for stored data. They do not automatically tell you whether the best answer is to raise price, tighten included usage, or change the packaging around the service.
That is why this page is useful as an input, not as a standalone pricing decision.
Pricing implications
Separate storage and access fees, use tiers to match marginal costs, and include a base fee for fixed overhead. If request patterns or replication behavior change materially by segment, the pricing model should reflect that rather than pretend all storage is equal.
Common components
GB-month, API requests, replication, backup snapshots, metadata, monitoring, and support time.
Measurement tips
Model costs by region and class of storage, and track cache hit rates to reduce expensive retrievals. The point is not only to measure average cost, but to see where the expensive cohorts sit.
Common mistakes
- Using list prices instead of committed rates.
- Ignoring retrieval fees and request overhead.
- Treating all storage classes as interchangeable.
- Updating pricing without rechecking the cost floor first.
How to use it with PricingNest tools
Use the Storage Cost Calculator to model the cost floor. Use Storage Cost Optimization when the better move is to reduce spend before changing price.