Point stream monitoring to microsite

spring-cloud-dataflow-docs/src/main/asciidoc/streams-monitoring.adoc

@@ -1,62 +1,5 @@
 [[streams-monitoring]]
 = Stream Monitoring
 
-This section describes how to monitor the applications that were deployed as part of a Stream.
-The setup for each platform is different but the general architecture is the same across the platforms.
-
-The Data Flow 2.x metrics architecture is designed around the https://micrometer.io/[Micrometer library] which is a Vendor-neutral application metrics facade.
-It provides a simple facade over the instrumentation clients for the most popular monitoring systems.
-See the https://micrometer.io/docs[Micrometer documentation] for the list of supported monitoring systems.
-Starting with Spring Boot 2.0, Micrometer is the instrumentation library https://docs.spring.io/spring-integration/docs/current/reference/html/system-management-chapter.html#micrometer-integration[powering the delivery of application metrics from Spring Boot].
-Spring Integration provides https://docs.spring.io/spring-integration/docs/current/reference/html/system-management-chapter.html#micrometer-integration[additional integration] to expose metrics around message rates and errors which is critical to the monitoring of deployed Streams.
-
-All Spring Cloud Stream App Starters are configured to support two of the most popular monitoring systems, Prometheus and InfluxDB.
-You can declaratively select which monitoring system to use.
-If you are not using Prometheus or InfluxDB, you can customise the App starters to use a different monitoring system as well as include your preferred micrometer monitoring system library in your own custom applications.
-To help you get started monitoring Streams, Data Flow provides https://grafana.com/[Grafana Dashboards] you can install and customize for your needs.  Support for monitoring Tasks is on the roadmap.
-
-The general architecture of how applications are monitored is shown below.
-
-.The Spring Cloud Data Flow Monitoring Architecture
-image::{dataflow-asciidoc}/images/micrometer-arch.png[Micrometer Monitoring Architecture, scaledwidth="80%"]
-
-.Each Spring Cloud Stream application sends send metrics to a monitoring system, often a Time Series Database (TSDB).
-.Connect Grafana to the selected monitoring system and install the provided Grafana dashboards that visualize different aspects of the running stream applications..
-.The Data Flow UI provides buttons to open the Grafana dashboard for each stream.
-
-To allow aggregating metrics per application type, per instance or per stream the Spring <<applications,Cloud Stream Application Starters>> are configured to use the following Micrometer tags:
-
-[width="100%",frame="topbot",options="header"]
-|===
-|Tag Name| Description
-
-|stream.name
-|Name of the Stream that contains the applications sending the metrics
-
-|application.name
-|Name or label of the application reporting the metrics
-
-|application.type
-|The type (Sourcer, Processor or SInk) of the application reporting the metrics.
-
-|application.guid
-|Unique instance identifier of the application instance reporting the metrics
-
-|application.index
-|application instance id (when available)
-
-|===
-
-If the Data Flow server is started with the `spring.cloud.dataflow.grafana-info.url` property pointing to your Grafana URL, then the Grafana feature is enabled and Data Flow UI will provide you with Grafana-buttons that can open particular dashboard for given stream, application or application instance. Following screenshot illustrates these buttons:
-
-image::{dataflow-asciidoc}/images/grafana-scdf-ui-buttons-streams.png[Data Flow UI Grafana Buttons - Streams, scaledwidth="70%"]
-
-image::{dataflow-asciidoc}/images/grafana-scdf-ui-buttons-apps.png[Data Flow UI Grafana Buttons - Applications, scaledwidth="70%"]
-
-As setting up Prometheus and InfluxDB is different depending on the platform you are running on, we provide instructions for each platform.
-In Spring Cloud Data Flow 2.x, local server and Kubernetes instructions have been provided.
-
-include::streams-monitoring-local.adoc[]
-include::streams-monitoring-kubernetes.adoc[]
-
+Please see the link:https://dataflow.spring.io/docs/feature-guides/streams/monitoring/[Stream Monitoring] Guide of the microsite for more information on how to monitor the applications that were deployed as part of a Stream.