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7 changes: 4 additions & 3 deletions modules/manage/partials/monitor-health.adoc
Original file line number Diff line number Diff line change
Expand Up @@ -137,11 +137,12 @@ rate(redpanda_kafka_request_latency_seconds_count{redpanda_request="produce"}[5m

==== Internal RPC latency

To monitor Redpanda internal RPC latency, use the xref:reference:public-metrics-reference.adoc#redpanda_rpc_request_latency_seconds[`redpanda_rpc_request_latency_seconds`] histogram. For example, create a query for the 99th percentile latency:
To monitor Redpanda internal RPC latency, use the xref:reference:public-metrics-reference.adoc#redpanda_rpc_request_latency_seconds[`redpanda_rpc_request_latency_seconds`] histogram with
the `redpanda_server="internal"` label. For example, create a query for the 99th percentile latency:

[,promql]
----
histogram_quantile(0.99, (sum(rate(redpanda_rpc_request_latency_seconds_bucket[5m])) by (le, provider, region, instance, namespace, pod, redpanda_server)))
histogram_quantile(0.99, (sum(rate(redpanda_rpc_request_latency_seconds_bucket{redpanda_server="internal"}[5m])) by (le, provider, region, instance, namespace, pod)))
----

You can monitor the rate of internal RPC requests with xref:reference:public-metrics-reference.adoc#redpanda_rpc_request_latency_seconds[`redpanda_rpc_request_latency_seconds`] histogram's count:
Expand Down Expand Up @@ -263,4 +264,4 @@ rate(redpanda_rest_proxy_request_errors_total[5m])

=== Data transforms

See xref:develop:data-transforms/monitor.adoc[].
See xref:develop:data-transforms/monitor.adoc[].