Update Monitoring documentation

docs/deployment/configuration/monitoring.rst

@@ -85,15 +85,55 @@ Use Published Dashboards to Monitor Flyte Deployment
 
 Flyte Backend is written in Golang and exposes stats using Prometheus. The stats are labeled with workflow, task, project & domain, wherever appropriate.
 
-The dashboards are divided into two types:
+Both ``flyteadmin`` and ``flytepropeller`` are instrumented to expose metrics. To visualize these metrics, Flyte provides three Grafana dashboards, each with a different focus:
 
 - **User-facing dashboards**: Dashboards that can be used to triage/investigate/observe performance and characteristics of workflows and tasks.
-  The user-facing dashboard is published under Grafana marketplace ID `13980 <https://grafana.com/grafana/dashboards/13980>`__.
+  The user-facing dashboard is published under ID `13980 <https://grafana.com/grafana/dashboards/13980>`__ in the Grafana marketplace.
 
-- **System Dashboards**: Dashboards that are useful for the system maintainer to maintain their Flyte deployments. These are further divided into:
-        - DataPlane/FlytePropeller dashboards published @ `13979 <https://grafana.com/grafana/dashboards/13979>`__
-        - ControlPlane/Flyteadmin dashboards published @ `13981 <https://grafana.com/grafana/dashboards/13981>`__
+- **System Dashboards**: Dashboards that are useful for the system maintainer to investigate the status and performance of their Flyte deployments. These are further divided into:
+        - `DataPlane/FlytePropeller <https://grafana.com/grafana/dashboards/13979>`__: execution engine status and performance.
+        - `ControlPlane/Flyteadmin <https://grafana.com/grafana/dashboards/13981>`__: API-level monitoring.
+
+The corresponding JSON files for each dashboard are also located at ``deployment/stats/prometheus``.
+
+.. note::
+
+    The dashboards are basic dashboards and do not include all the metrics exposed by Flyte.
+    Feel free to use the scripts provided `here <https://github.com/flyteorg/flyte/tree/master/stats>`__ to improve and -hopefully- contribute the improved dashboards.
+
+How to use the dashboards
+~~~~~~~~~~~~~~~~~~~~~~~~~
+
+1. We recommend installing and configuring the Prometheus operator as described in `their docs <https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/user-guides/getting-started.md>`__.
+This is especially true if you plan to use the Service Monitors provided by the `flyte-core <https://github.com/flyteorg/flyte/blob/master/charts/flyte-core/templates/propeller/service-monitor.yaml>`__ Helm chart.
+
+2. Enable the Prometheus instance to use Service Monitors in the namespace where Flyte is running, configuring the following keys in the ``prometheus`` resource:
+
+.. code-block:: yaml
+
+   spec:
+    serviceMonitorSelector: {}
+    serviceMonitorNamespaceSelector: {}
+
+.. note::
+
+   The above example configuration lets Prometheus use any ``ServiceMonitor`` in any namespace in the cluster. Adjust the configuration to reduce the scope if needed.
+
+3. Once you have installed and configured the Prometheus operator, enable the Service Monitors in the Helm chart by configuring the following keys in your ``values`` file:
+
+.. code-block:: yaml
+
+   flyteadmin:
+     serviceMonitor:
+       enabled: true
+
+   flytepropeller:
+     serviceMonitor:
+       enabled: true
+
+.. note::
+
+   By default, the ``ServiceMonitor`` is configured with a ``scrapeTimeout`` of 30s and and ``interval`` of 60s. You can customize these values if needed.
+
+With the above configuration in place you should be able to import the dashboards in your Grafana instance.
 
-The above mentioned are basic dashboards and do no include all the metrics exposed by Flyte.
-Please help us improve the dashboards by contributing to them 🙏.
-Refer to the build scripts `here <https://github.com/flyteorg/flyte/tree/master/stats>`__.