My team at my new entry-level job wants me to audit our Datadog analytics cost management setup to find unused logs and metrics we can drop.
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
My team at my new entry-level job wants me to audit our Datadog analytics cost management setup to find unused logs and metrics we can drop.
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.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
site:docs.datadoghq.com logs analytics usage volume log patterns exclusion filters Datadog cost management Google ↗
site:docs.datadoghq.com metrics summary custom metrics usage attribution cardinality Datadog Google ↗
- Log Optimizer · docs.datadoghq.com
- Log Analytics · docs.datadoghq.com
- Indexes · docs.datadoghq.com
- Best Practices for Custom Metrics Governance · docs.datadoghq.com
- Metrics Summary · docs.datadoghq.com
- Custom Metrics Billing · docs.datadoghq.com
- Generate Metrics from Ingested Logs · docs.datadoghq.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
site:docs.datadoghq.com logs analytics usage volume log patterns exclusion filters Datadog cost management OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
site:docs.datadoghq.com metrics summary custom metrics usage attribution cardinality Datadog OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |