Real ChatGPT answer · index seedb56rZ0tPCtYcompleteB2B software · developer toolsinformational

What metrics should I be looking at first inside Datadog APM to understand if my database is slowing down my users?

ChatGPTgpt-61 query10/31/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
What metrics should I be looking at first inside Datadog APM to understand if my database is slowing down my users?
1 real search · 1 real-search pass
site:docs.datadoghq.com tracing database monitoring APM spans latency resource database query metrics connection poolGoogle ↗
OBSERVEDReason

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)
Short factOther / navigationalComparisonConsequenceReason100%DefinitionInstructionYes / no

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
site:docs.datadoghq.com tracing database monitoring APM spans latency resource database query metrics connection pool Google ↗
  1. Getting Started with Database Monitoring · docs.datadoghq.com
  2. Correlate Database Monitoring and Traces · docs.datadoghq.com
  3. Service Page · docs.datadoghq.com
  4. Exploring Query Metrics · docs.datadoghq.com
  5. Database Monitoring Data Collected · docs.datadoghq.com
  6. APM and Database Monitoring correlation · docs.datadoghq.com

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
site:docs.datadoghq.com tracing database monitoring APM spans latency resource database query metrics connection pool
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1