Thread

1. joshdavham · 1791078994 · focus · HN ↗

   It’s incredible that in 2026, AWS and GCP are only just now introducing this. It’s possibly one of the most obviously needed features for a cloud provider.

   Also, does anyone know why it’s taken this long? I suspect it’s a technical reason. While one could be cynical, I doubt it’s an intentional business/product decision. Hard spending caps are both excellent product differentiators and could possibly save these providers money as they don’t have to forgive their users when they accidentally over-use a service.

   1. simonw · 1791079818 · focus · HN ↗

      It's definitely technically difficult. You can't easily estimate how much an operation is going to cost before you kick off that operation, which means as soon as you get close to the limit you are at risk of tripping it.

      Consider something like a "select * from bigtable" SQL query that might process a trillion rows. Hard to know that's going to cost $100 until after you have run it.

      1. joshdavham · 1791085473 · focus · HN ↗

         > You can't easily estimate how much an operation is going to cost before you kick off that operation

         I recently had a debate with a colleague on this topic but concerning estimating the costs of AI agent work. For example, if you prompt an AI to refactor your codebase, the final cost can't be estimated perfectly, but I'm sure it can at least be estimated with some amount of precision! Like simply knowing that it will cost < $100 is actually great information even if the final work only ends up costing $5.

         I think there actually might be a business opportunity (or at least the opportunity to build something cool here) if anyone wants to work in the AI cost estimation space. It's not exactly an idea I want to pursue, but just thought I'd put it out there. AI cost estimation (even with wide confidence bands) would be very useful to a lot of people.

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