How can I figure out which Datadog metrics are costing us the most money so I can turn off the useless ones today?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can I figure out which Datadog metrics are costing us the most money so I can turn off the useless ones today?
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
Datadog official documentation Metrics Summary custom metrics usage attribution cardinality metric configuration billing Google ↗
Datadog official documentation custom metrics billing indexed custom metrics tag cardinality usage details Google ↗
- Best Practices for Custom Metrics Governance · docs.datadoghq.com
- Custom Metrics Billing · docs.datadoghq.com
- Custom Metrics · docs.datadoghq.com
- Custom Metrics Billing · docs.datadoghq.com
- Metric Name Pricing for Custom Metrics · docs.datadoghq.com
- Metrics Experience Changes for Metric Name Pricing · docs.datadoghq.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Datadog official documentation Metrics Summary custom metrics usage attribution cardinality metric configuration billing OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Datadog official documentation custom metrics billing indexed custom metrics tag cardinality usage details OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |