Add a tutorial on creating a simple Grafana dashboard

docs/monitoring/08-02-create-and-configure-grafana-dashboard.md

@@ -0,0 +1,82 @@
+---
+title: Create a Grafana dashboard
+type: Tutorials
+---
+
+This tutorial shows how to create and configure a basic Grafana dashboard of a [Gauge](https://grafana.com/docs/features/panels/singlestat/#gauge) type. The dashboard shows how the values of the `cpu_temperature_celsius` metric change in time, representing the current processor temperature ranging from 60 to 90 degrees Celsius. The dashboard shows explicitly when the CPU temperature exceeds the pre-defined threshold of 75 degrees Celsius.
+
+## Prerequisites
+
+This tutorial is a follow-up of the [**Observe application metrics**](#tutorials-observe-application-metrics) tutorial that uses the `monitoring-custom-metrics` example. This example deploys the `sample-metrics-8081` service which exposes the `cpu_temperature_celsius` metric. That configuration is required to complete this tutorial.
+
+## Steps
+
+Follow these sections to create the Gauge dashboard type for the `cpu_temperature_celsius` metric.
+
+### Create the dashboard
+
+1. Navigate to Grafana. It is available under the `https://grafana.{DOMAIN}` address, where `{DOMAIN}` is the domain of your Kyma cluster, such as `https://grafana.34.63.57.190.xip.io` or `https://grafana.example.com/`. To access it from the Console UI, click **Stats & Metrics** on the left navigation menu.
+
+![Stats and Metrics](./assets/stats-and-metrics.png)
+
+2. Click the **+** icon on the left sidebar and select **Dashboard** from the **Create** menu.
+
+![Create a dashboard](./assets/create-dashboard.png)
+
+3. Select **Add Query**.
+
+![Add Query](./assets/add-query.png)
+
+4. Select Prometheus data source from the **Queries to** drop-down list and pick the `cpu_temperature_celsius` metric.
+
+![New dashboard](./assets/new-dashboard.png)
+
+5. Toggle the **Instant** query to be able to retrieve the latest metric value on demand.
+
+![Instant option](./assets/instant.png)
+
+6. Switch to the **Visualization** section and select the **Gauge** dashboard type.
+
+![Gauge dashboard type](./assets/gauge-dashboard-type.png)
+
+7. Click the disk icon in the top right corner of the page to save the changes. Provide a name for the dashboard.
+
+![Save the dashboard](./assets/save-dashboard.png)
+
+### Configure the dashboard
+
+To edit the dashboard settings, go to the **Panel Title** options and select **Edit**.
+
+![Edit the dashboard](./assets/edit-dashboard.png)
+
+1. Back in the **Visualization** section, set up the measuring unit to Celsius degrees to reflect the metric data type.
+
+![Temperature](./assets/temperature-celsius.png)
+
+2. Set the minimum metric value to `60` and the maximum value to `90` to reflect the `cpu_temperature_celsius` metric value range. Enable the **Show labels** option to display this range on the dashboard.
+
+![Minimum and maximum values](./assets/min-max-values.png)
+
+3. Set a red color threshold to `75` for the dashboard to turn red once the CPU temperature reaches and exceeds this value.
+
+![Threshold](./assets/threshold.png)
+
+4. Go to the **General** section and give a title to the dashboard.
+
+![Panel title](./assets/panel-title.png)
+
+5. Click the disk icon in the top right corner of the page to save the changes. Add an optional note to describe the changes made.
+
+![Note](./assets/save-note.png)
+
+### Verify the dashboard
+
+Refresh the browser to see how the dashboard changes according to the current value of the `cpu_temperature_celsius` metric.
+
+- It turns green if the current metric value ranges from 60 to 74 degrees Celsius:
+
+![Green dashboard](./assets/green-dashboard.png)
+
+- It turns red if the current metric value ranges from 75 to 90 degrees Celsius:
+
+![Red dashboard](./assets/red-dashboard.png)

milv.config.yaml

@@ -1,4 +1,4 @@
-white-list-external: ["localhost", "kyma.local", "CLUSTER_NAME.kyma.cluster.cx", "$yourClusterDomain", "svc.cluster.local:8081", "https://goreportcard.com", "orders.com", "azure.microsoft.com", "$KYMA_RELEASE_VERSION", "$DOMAIN", "$LATEST", "http://xip.io"]
+white-list-external: ["localhost", "kyma.local", "https://grafana.{DOMAIN", "CLUSTER_NAME.kyma.cluster.cx", "$yourClusterDomain", "svc.cluster.local:8081", "https://goreportcard.com", "orders.com", "azure.microsoft.com", "$KYMA_RELEASE_VERSION", "$DOMAIN", "$LATEST", "http://xip.io"]
 black-list: ["/vendor/", "/testdata/"]
 black-list-internal: ["./kyma/docs/"]
 timeout: 60
@@ -17,9 +17,6 @@ files:
   - path: "./kyma/components/helm-broker/docs/proposals/addon-git-support.md"
     config:
       white-list-external: ["https://github.com/kyma-project/addons/blob/master/addons/index.yaml", "https://gitlab.com/kyma-project/addons/blob/master/addons/index.yaml", "https://bitbucket.org/kyma-project/addons/src/master/addons/index.yaml"]
-  - path: "./kyma/docs/monitoring/02-01-monitoring.md"
-    config:
-      white-list-external: ["https://grafana.{DOMAIN"]
   - path: "./kyma/resources/core/charts/monitoring/charts/alertmanager/README.md"
     config:
       white-list-external: ["https://alert.victorops.com/integrations/generic/20131114/alert"]
@@ -65,3 +62,6 @@ files:
   - path: "./kyma/tests/perf/README.md"
     config:
       white-list-external: ["https://grafana.perf.kyma-project.io/d/ReuNR5Aik/kyma-performance-test-results?orgId=1"]
+  - path: "./kyma/docs/monitoring/08-02-create-and-configure-grafana-dashboard.md"
+    config:
+      white-list-external: ["https://grafana.example.com/"]