AWS cost optimization

Find the AWS spend that is not helping your product grow.

SaveAWS reviews cloud cost drivers across compute, databases, storage, data transfer, commitments, and billing structure so teams can reduce waste without slowing engineering.

Review areas

Cost optimization starts with the spend patterns that usually hide waste.

Compute and databases

Review oversized instances, idle environments, database growth, and scheduling opportunities.

Storage and transfer

Check unused storage, snapshots, logs, CDN, cross-region traffic, and data movement patterns.

Commitments and billing

Map Savings Plans, Reserved Instances, credit readiness, and partner billing savings fit.

Who needs it

Useful when AWS spend grows faster than usage, revenue, or visibility.

AI, SaaS, e-commerce, gaming, and data-heavy teams often accumulate cloud waste while shipping quickly. SaveAWS keeps the review practical and tied to actions that finance and engineering can both understand.

AI workloads Inference, GPUs, vector search, data pipelines, and model experiments.
SaaS products Production, staging, databases, observability, and tenant growth.
Commerce and media Seasonal traffic, CDN, object storage, analytics, and delivery costs.

FAQ

Common AWS cost optimization questions.

What does an AWS cost optimization review check first?

SaveAWS usually reviews compute, databases, storage, data transfer, logs, idle resources, oversized services, and Savings Plans or Reserved Instance fit.

Do you need production access for the first review?

No. A first review can start from billing exports, invoices, spend screenshots, or cost context.

AWS spend review

Send your bill and workload context. We will map the first savings opportunities.

Start with cost visibility, then decide whether billing savings, optimization, or credits should come next.

Start cost review