Link metric spikes to traces using OTel exemplars

domain: opentelemetry.io · 6 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed

Verified steps

  1. Enable exemplar recording in your SDK: in the OpenTelemetry SDK, configure the exemplar filter to TraceBased (only records with an active span context are eligible) so exemplars carry real trace and span IDs
  2. Record histogram or gauge measurements inside an active span context; the SDK automatically attaches the current trace ID and span ID as an exemplar to the histogram bucket that contains the measurement
  3. Export metrics via the OTLP exporter to a backend that stores exemplars (Prometheus with --enable-feature=exemplar-storage, Grafana Mimir, Google Managed Prometheus); exemplars are included in the OTLP payload natively
  4. When using the Prometheus exporter in the OTel Collector, verify that exemplars appear in the /metrics output (look for # line with traceID and spanID labels); check the Collector's otelcol_prometheus_exporter_* metrics if exemplars are missing
  5. In Grafana, set the exemplar data source for a Prometheus panel to your Tempo or Jaeger trace backend; Grafana renders exemplar dots on the metric graph that link directly to the correlated trace
  6. Use exemplars to triage latency spikes: when p99 latency rises, click the exemplar dot nearest the spike to open the trace, identify the slow span, and drill into the root cause without manual trace ID lookup

Known gotchas

Related routes

Attach and query exemplars in Prometheus to link a metric spike to a specific trace
prometheus.io · 6 steps · unrated
Ingest OpenTelemetry exemplars from a Prometheus-instrumented application and query them in Grafana to jump from metric spikes to traces
grafana.com/docs/grafana · 6 steps · unrated
Enable and query Prometheus exemplar storage to correlate metric anomalies with specific traces
prometheus.io · 6 steps · unrated

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