Why do APM tools like Datadog require custom span tags for database queries, and how does span sampling affect the accuracy of our performance monitoring data?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Why do APM tools like Datadog require custom span tags for database queries, and how does span sampling affect the accuracy of our performance monitoring data?
1 real search · 1 real-search pass
Datadog APM custom span tags database spans documentation sampling trace metrics head-based sampling tail-based samplingGoogle ↗
OBSERVEDYes / no
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
Datadog APM custom span tags database spans documentation sampling trace metrics head-based sampling tail-based sampling Google ↗
- Trace Sampling Use Cases · docs.datadoghq.com
- Ingestion Sampling with OpenTelemetry · docs.datadoghq.com
- Control trace volume with OpenTelemetry tail-based sampling · datadoghq.com
- Ingestion Mechanisms · docs.datadoghq.com
- datadoghq.com · datadoghq.com