[DOCS] Adds Metrics AD configurations to OOTB jobs

docs/en/stack/ml/anomaly-detection/index.asciidoc

@@ -42,6 +42,8 @@ include::ootb-ml-jobs-logs-ui.asciidoc[leveloffset=+2]
 
 include::ootb-ml-jobs-metricbeat.asciidoc[leveloffset=+2]
 
+include::ootb-ml-jobs-metrics-ui.asciidoc[leveloffset=+2]
+
 include::ootb-ml-jobs-nginx.asciidoc[leveloffset=+2]
 
 include::ootb-ml-jobs-siem.asciidoc[leveloffset=+2]

docs/en/stack/ml/anomaly-detection/ootb-ml-jobs-metrics-ui.asciidoc

@@ -0,0 +1,68 @@
+[role="xpack"]
+[[ootb-ml-jobs-metrics-ui]]
+= Metrics {anomaly-detect} configurations
+++++
+<titleabbrev>Metrics</titleabbrev>
+++++
+
+// tag::metrics-jobs[]
+These {anomaly-jobs} can be created in the
+{kibana-ref}/xpack-infra.html[Metrics app] in {kib}. When you create one of 
+these jobs, you need to select a field that splits the data to establish 
+separate baselines for the job. This is called a partion field. Each value of 
+the partition field is modeled individually which enables more independent 
+anomaly scoring.
+
+When you select partition field for a job, take into account field cardinality; 
+the number of different values that the field contains. If the partition field 
+has more than 1000 distinct values per job, you are advised that there might be 
+high memory usage.
+
+The jobs below detect anomalous memory and network behavior on hosts and 
+Kubernetes pods. For more details, see the {dfeed} and job definitions in the 
+`metrics_ui_*` folders in https://github.com/elastic/kibana/tree/{branch}/x-pack/plugins/ml/server/models/data_recognizer/modules[GitHub].
+
+
+hosts_memory_usage::
+
+* For memory usage via the Metrics UI.
+* Models system memory usage.
+* Detects unusual increases in memory usage across hosts.
+
+
+hosts_network_in::
+
+* For network traffic via the Metrics UI.
+* Models inbound network traffic.
+* Detects unusually high inbound traffic across hosts.
+
+
+hosts_network_out::
+
+* For network traffic via the Metrics UI. 
+* Models outbound network traffic.
+* Detects unusually high outbound traffic across hosts.
+
+
+k8s_memory_usage::
+
+* For memory usage via the Metrics UI.
+* Models system memory usage.
+* Detects unusual increases in memory usage across Kubernetes pods.
+
+
+k8s_network_in::
+
+* For network traffic via the Metrics UI. 
+* Models inbound network traffic.
+* Detects unusually high inbound traffic across Kubernetes pods.
+
+
+k8s_network_out::
+
+* For network traffic via the Metrics UI. 
+* Models outbound network traffic.
+* Detects unusually high outbound traffic across Kubernetes pods.
+
+
+// end::metrics-jobs[]

docs/en/stack/ml/anomaly-detection/ootb-ml-jobs.asciidoc

@@ -15,6 +15,7 @@ the {anomaly-jobs} that are ready to use via {kib}.
 * <<ootb-ml-jobs-auditbeat>>
 * <<ootb-ml-jobs-logs-ui>>
 * <<ootb-ml-jobs-metricbeat>>
+* <<ootb-ml-jobs-metrics-ui>>
 * <<ootb-ml-jobs-nginx>>
 * <<ootb-ml-jobs-siem>>
 * <<ootb-ml-jobs-uptime>>