Real ChatGPT answer · index seeddZ2w8upYheUcompleteB2B software · data and analytics platformsinformational

What is the easiest way to audit which teams are generating the most log data in Datadog so we can enforce better retention policies

ChatGPTgpt-62 queries10/31/2026
Download run

Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
What is the easiest way to audit which teams are generating the most log data in Datadog so we can enforce better retention policies
2 real searches · 1 real-search pass
Datadog documentation log management usage attribution logs by team tags indexed logs ingested bytes dashboardGoogle ↗
OBSERVED
Datadog documentation log retention indexes exclusion filters log volume metrics bytes ingestedGoogle ↗
OBSERVED

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
Datadog documentation log management usage attribution logs by team tags indexed logs ingested bytes dashboard Google ↗
Datadog documentation log retention indexes exclusion filters log volume metrics bytes ingested Google ↗
  1. Best Practices for Log Management · docs.datadoghq.com
  2. Generate Metrics from Ingested Logs · docs.datadoghq.com
  3. Usage Details · docs.datadoghq.com
  4. Indexes · docs.datadoghq.com

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Datadog documentation log management usage attribution logs by team tags indexed logs ingested bytes dashboard
OBSERVED
Google ↗
AI Mode ↗
————1x
of 1
Datadog documentation log retention indexes exclusion filters log volume metrics bytes ingested
OBSERVED
Google ↗
AI Mode ↗
————1x
of 1