RHIDP-5421 - Document which plugins in RHDH have metrics

Author: Gerry-Forde

artifacts/rhdh-plugins-reference/keycloak/keycloak-plugin-admin.adoc

@@ -150,7 +150,7 @@ The Keycloak backend plugin supports link:https://opentelemetry.io/[OpenTelemetr
 === Available Counters
 
 .Keycloak metrics
-[cols="50%,50%", frame="all", options="header"]
+[cols="60%,40%", frame="all", options="header"]
 |===
 |Metric Name
 |Description
@@ -164,13 +164,22 @@ All counters include the `taskInstanceId` label, which uniquely identifies each
 
 Users can enter queries in the Prometheus UI or Grafana to explore and manipulate metric data. 
 
-In the following example, the Prometheus Query Language (PromQL) expression returns the number of backend failures associated with a `taskInstanceId`:
+.Examples 
+In the following examples, a Prometheus Query Language (PromQL) expression returns the number of backend failures.
 
+.Example to get the number of backend failures associated with a `taskInstanceId` 
 [source,subs="+attributes,+quotes"]
 ----
 backend_keycloak_fetch_data_batch_failure_count_total{taskInstanceId="df040f82-2e80-44bd-83b0-06a984ca05ba"} 1
 ----
 
+.Example to get the number of backend failures during the last hour
+
+[source,subs="+attributes,+quotes"]
+----
+increase(backend_keycloak_fetch_data_batch_failure_count_total[1h])
+----
+
 [NOTE]
 ====
 PromQL supports arithmetic operations, comparison operators, logical/set operations, aggregation, and various functions. Users can combine these features to analyze time-series data effectively.