Comparing Heroku Enterprise and AWS ECS with Fargate, which one gives us better cost control and autoscaling responsiveness for fluctuating web traffic?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Comparing Heroku Enterprise and AWS ECS with Fargate, which one gives us better cost control and autoscaling responsiveness for fluctuating web traffic?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Heroku Enterprise pricing dynos autoscaling autoscaling responsiveness documentation 2026 Google ↗
AWS ECS Fargate service auto scaling target tracking step scaling cooldown documentation Fargate pricing per vCPU memory 2026 Google ↗
- Autoscaling · devcenter.heroku.com
- Dynos Scaling: Scale App Containers Post-Deployment · heroku.com
- Amazon ECS announces faster service auto scaling · aws.amazon.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Heroku Enterprise pricing dynos autoscaling autoscaling responsiveness documentation 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
AWS ECS Fargate service auto scaling target tracking step scaling cooldown documentation Fargate pricing per vCPU memory 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |