What happens to my serverless architecture cost estimation when my database goes from low usage to handling thousands of concurrent user queries?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What happens to my serverless architecture cost estimation when my database goes from low usage to handling thousands of concurrent user queries?
1 real search · 1 real-search pass
serverless database pricing concurrency scaling requests compute capacity AWS Aurora Serverless DynamoDB on-demand official documentationGoogle ↗
OBSERVEDOther / navigational
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 (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
serverless database pricing concurrency scaling requests compute capacity AWS Aurora Serverless DynamoDB on-demand official documentation Google ↗
- Scalability · docs.aws.amazon.com
- How Aurora serverless works · docs.aws.amazon.com
- How Aurora serverless works · docs.aws.amazon.com
- Amazon DynamoDB Pricing | NoSQL Key-Value Database · aws.amazon.com
- Amazon DynamoDB pricing for on-demand capacity – Serverless Distributed NoSQL Database · aws.eu