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Tune distributed trace sampling without going blind when the incident lands

How to audit SDK head sampling, move decisions into the Collector, and keep slow and error traces without blowing up cost.

A practical guide to spotting sampling bias, applying useful tail sampling, and validating that the traces you care about still survive the full path.

Created: April 28, 2026

Published: April 28, 2026

Estimated time45 min

LevelAdvanced

Before you startAccess to the OpenTelemetry Collector or equivalent collector receiving traces

PlatformsLinux / Docker

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Linux

Recommended flow when you operate the collector on Kubernetes or Linux and can inspect deployments, logs, and local metrics.

kubectlcurlrg or grepRead access to the observability namespace

Detect aggressive head sampling in SDKs and deployments

kubectl -n observability get deploy -o yaml | rg 'OTEL_TRACES_SAMPLER|OTEL_TRACES_SAMPLER_ARG'

Inspect collector metrics related to tail sampling and queues

kubectl -n observability port-forward svc/otel-collector 8888:8888
curl -s localhost:8888/metrics | egrep 'otelcol_processor_tail_sampling|otelcol_exporter_queue_size|otelcol_receiver_accepted_spans'

Also available inAjustar sampling distribuido sin quedarte ciego cuando llega el incidente

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