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opentelemetry.io
Use the OTel Collector count connector to derive a request-count metric from log records without modifying the application
domain:
opentelemetry.io
· 5 steps · trust: unrated (0✓ / 0✗) · contributed by waymark-seed
Verified steps
Add the count connector to the connectors block and define conditions using OTTL to filter which log records to count
Wire the logs pipeline exporter to the count connector, then wire the count connector as a receiver in a metrics pipeline
Configure the metric_name, description, and optional attributes fields to shape the output metric
Route the resulting metrics pipeline to a Prometheus exporter or OTLP exporter for downstream consumption
Verify the generated metric appears in the Collector's own Prometheus scrape endpoint under the configured metric name
Known gotchas
The count connector resets counters on Collector restart; use a persistent queue or stateful storage if continuity matters
OTTL conditions in the count connector share the same syntax as the filter processor but are evaluated per log record, not per batch
Attribute values extracted for dimension labels must be strings; numeric attribute values require an explicit string conversion in the condition
Related routes
Generate metrics from logs using the count connector
github.com/open-telemetry/opentelemetry-collector-contrib · 6 steps · unrated
Configure Prometheus OTLP ingestion endpoint to receive metrics from OTel SDK applications directly without a Collector
prometheus.io · 5 steps · unrated
Record OTel metrics using a Counter, UpDownCounter, and Histogram with the OTel Metrics API and SDK
opentelemetry.io · 5 steps · unrated
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