AWS Marketplace cost forecasting for engineering teams

The moment arrives when an engineering team commits to an AWS Marketplace product — a security tool, an AMI, an analytics layer — and only discovers the real monthly cost after the first invoice. By then they're embedded in it, and switching is painful. The complaint about Antivirus for Amazon S3 pricing 'for larger S3 buckets' is a perfect example: the cost scales with usage in ways that weren't obvious at signup, and nobody modeled it before committing.

This gap persists because AWS Marketplace vendors have every incentive to obscure total cost — their pricing pages show per-unit rates, not what a realistic workload at realistic scale will actually cost month over month. AWS itself doesn't surface this either; their cost explorer breaks down spend by service, not by Marketplace subscription behavior layered on top of underlying infrastructure cost. So a team running a GPU-enabled AMI pays both for the AMI license and the EC2 instance underneath it, and those two meters tick at different rates, tracked in different places.

What's actually missing is a model that combines Marketplace contract pricing with the underlying infrastructure it runs on, then projects forward based on observed workload growth. The complaints about Lightsail being 'more expensive than DigitalOcean' and TensorFlow AMIs scaling in cost with utilization suggest users are doing this math manually in spreadsheets — after the fact, not before.

This is a recurring business need because every new product evaluation, every infrastructure scaling decision, and every budget cycle forces the same calculation again. Finance teams can't approve Marketplace spend they can't forecast, and engineering teams don't have the time to reverse-engineer vendor pricing tiers by hand each quarter.

What to build

Connect to an AWS account via read-only IAM role, pull active Marketplace subscriptions alongside their underlying EC2/S3/ECS resource consumption, and output a 90-day cost projection broken down by subscription line — with a toggle to model what happens if workload doubles.

Where to start

Start with teams running Adobe or security-category Marketplace products where the license cost is high and the underlying S3 or EC2 cost compounds it — these are the users who complained most loudly and can immediately verify whether the projection matches their bill.

The hard part

Getting accurate combined cost modeling requires mapping each Marketplace product to its specific underlying resource dependencies, which isn't standardized — some AMIs bundle compute, some charge separately, and you'd need to build and maintain a product-by-product mapping schema that breaks every time a vendor changes their pricing page.

How it makes money

Monthly subscription based on number of active Marketplace subscriptions being tracked, starting around $99/month for up to 10 subscriptions, scaling to $499/month for enterprise accounts with cost anomaly alerts included.