fix(doc): Correct title levels in monitoring documentation
diff --git a/docs/modules/ROOT/pages/observability/monitoring.adoc b/docs/modules/ROOT/pages/observability/monitoring.adoc
index 1746231..af8ef92 100644
--- a/docs/modules/ROOT/pages/observability/monitoring.adoc
+++ b/docs/modules/ROOT/pages/observability/monitoring.adoc
@@ -124,7 +124,7 @@
* The https://github.com/eclipse/microprofile-metrics/blob/master/spec/src/main/asciidoc/app-programming-model.adoc#annotations[MicroProfile Metrics annotations], in external dependencies
-=== Discovery
+== Discovery
The Prometheus trait automatically configures the resources necessary for the Prometheus Operator to reconcile, so that the managed Prometheus instance can scrape the integration _metrics_ endpoint.
@@ -147,7 +147,7 @@
In case your integration metrics are not discovered, you may want to rely on https://github.com/coreos/prometheus-operator/blob/v0.38.0/Documentation/troubleshooting.md#troubleshooting-servicemonitor-changes[Troubleshooting `ServiceMonitor` changes].
-=== Alerting
+== Alerting
The Prometheus Operator declares the `AlertManager` resource that can be used to configure _Alertmanager_ instances, along with `Prometheus` instances.
@@ -173,7 +173,7 @@
More information can be found in the Prometheus Operator https://github.com/coreos/prometheus-operator/blob/v0.38.0/Documentation/user-guides/alerting.md[Alerting] user guide. You can also find more details in https://docs.openshift.com/container-platform/4.4/monitoring/monitoring-your-own-services.html#creating-alerting-rules_monitoring-your-own-services[Creating alerting rules] from the OpenShift documentation.
-=== Autoscaling
+== Autoscaling
Integration metrics can be exported for horizontal pod autoscaling (HPA), using the https://github.com/DirectXMan12/k8s-prometheus-adapter[custom metrics Prometheus adapter].
If you have an OpenShift cluster, you can follow https://docs.openshift.com/container-platform/4.4/monitoring/exposing-custom-application-metrics-for-autoscaling.html[Exposing custom application metrics for autoscaling] to set it up.
