Create visualization dashboards

This page describes the process of creating and managing dashboards within your Grafana instance, used for visualizations of logs and metrics from your Google Distributed Cloud (GDC) air-gapped project.

A dashboard provides a dynamic visual representation of your system's performance. It consists of one or more customizable panels, each configured to query and display specific metrics from your GDC components. These panels let you do the following:

Visualize metrics through various graph types.
Define alert thresholds to trigger notifications based on metric values.
Customize display properties such as labels, units, and time ranges.
Set consistent time resolutions for accurate comparisons.

By effectively using Grafana dashboards, you can gain valuable insights into the performance and health of your GDC environment.

Before you begin

To get the permissions that you need to access and view Grafana dashboards, ask your Organization IAM Admin or Project IAM Admin to grant you one of the predefined Grafana Viewer roles.

Additionally, to get the permissions that you need to manage the API objects required to create dashboards, ask your Organization IAM Admin or Project IAM Admin to grant you the associated ConfigMap and Dashboard roles.

Depending on the level of access and permissions you need, you might obtain creator, editor, or viewer roles for these resources in an organization or a project. For more information, see Prepare IAM permissions.

After obtaining the corresponding roles, follow these steps before creating dashboards:

Collect metrics from your workloads.
Set the path of the kubeconfig file as an environment variable:
```
export KUBECONFIG=KUBECONFIG_PATH
```
Replace KUBECONFIG_PATH with the path to the kubeconfig file for the Management API server where you want to create the dashboard.

Identify your Grafana endpoint

The following URL is the endpoint of the Grafana instance of your project:

https://GDC_URL/PROJECT_NAMESPACE/grafana

Replace the following:

GDC_URL: the URL of your organization in GDC.
PROJECT_NAMESPACE: your project namespace.

For example, the Grafana endpoint for the platform-obs project in the org-1 organization is https://org-1/platform-obs/grafana.

Create a custom dashboard

Follow these steps to create a Grafana dashboard and customize your settings:

Open your Grafana endpoint to display the user interface.
From the navigation menu, click Add.
From the drop-down menu, click Dashboard. Grafana creates an empty dashboard.
On the empty dashboard, add all the panels you want.
In the Data source menu of each panel, select the data source that you want for the panel, including metrics (prometheus), audit logs (auditloki), and operational logs (oploki).

For multi-zone universes, Grafana has zone-labeled data sources that you can use to create dashboard visualizations with metrics and logs from multiple zones. These data sources are named with the format DATA_SOURCE-ZONE_ID, where:
- DATA_SOURCE can take one of the following values:
  - Prometheus (prometheus or metrics) to display metrics.
  - Audit logs (auditloki) to display audit logs.
  - Operational logs (oploki) to display operational logs.
- ZONE_ID is the ID of the zone from which you want to display data in the dashboard.
Additionally, to create a visualization dashboard for cross-zone resources, the data source name is --Mixed--. This data source lets you add multiple queries per zone and have cross-zone data visualizations in a single dashboard. You can use this feature to make behaviour comparisons between, for example, a single metric or log query across multiple zones of your universe.
Customize your details and edit your panels to supply your queries or make other updates.

Tip: When customizing your dashboard, implement best practices for your use case to facilitate the visualization and interpretation of observability data from your components. For example, establish acceptance thresholds, display useful signals, add labels to graphs, and choose a consistent time resolution.
From the menu bar, click Dashboard settings to open the Settings page.
From the navigation menu, select JSON Model.
Copy the JSON model of the dashboard and paste it in a plain-text file for future use.

Create a `ConfigMap` object

Follow these steps to create a ConfigMap object containing the JSON model of the dashboard:

Open a terminal window.
Create a ConfigMap object. In the data section of your ConfigMap object, paste the JSON model that you previously copied:
```
apiVersion: v1
kind: ConfigMap
metadata:
  namespace: PROJECT_NAMESPACE
  name: CONFIGMAP_NAME
data:
  JSON_FILE_NAME.json: |
    {
    JSON_MODEL
    }
```
Replace the following:
- PROJECT_NAMESPACE: your project namespace.
- CONFIGMAP_NAME: the name you want to give to your ConfigMap object.
- JSON_FILE_NAME: the name you want to give to the file for the JSON model of the dashboard.
- JSON_MODEL: the JSON model of your custom dashboard.
For an example of what this object must look like, see a ConfigMap example.

Apply the ConfigMap object to the Management API server:

kubectl --kubeconfig ${KUBECONFIG} apply -f CONFIGMAP_NAME.yaml

A `ConfigMap` example

The following YAML file shows an example of the ConfigMap object of a dashboard in the platform-obs namespace:

  apiVersion: v1
  kind: ConfigMap
  metadata:
    namespace: platform-obs
    name: my-project-dashboard-configmap
  data:
    my-project-dashboard.json: |
      {
      "annotations": {
        "list": [
          {
            "builtIn": 1,
            "datasource": "--",
            "enable": true,
            "hide": true,
            "iconColor": "rgba(0, 211, 255, 1)",
            "name": "Annotations & Alerts",
            "type": "dashboard"
          }
        ]
      },
      "editable": true,
      "graphTooltip": 0,
      "id": null,
      "links": [],
      "panels": [],
      "schemaVersion": 27,
      "style": "dark",
      "tags": [],
      "templating": {
        "list": []
      },
      "time": {
        "from": "now-6h",
        "to": "now"
      },
      "timepicker": {},
      "timezone": "",
      "title": "Sample dashboard",
      "uid": null,
      "version": 0
      }

Create a `Dashboard` custom resource

Follow these steps to create a Dashboard custom resource and import your custom dashboard to the Grafana instance of your project:

Open a terminal window.
Create a Dashboard custom resource and configure the file with the name you gave to the ConfigMap object:
```
apiVersion: observability.gdc.goog/v1
kind: Dashboard
metadata:
  namespace: PROJECT_NAMESPACE
  name: DASHBOARD_NAME
spec:
  configMapRef:
    name: CONFIGMAP_NAME
    namespace: PROJECT_NAMESPACE
    key: JSON_FILE_NAME.json
  foldername: Default
```
Replace the following:
- PROJECT_NAMESPACE: your project namespace.
- DASHBOARD_NAME: the name you want to give to your Dashboard custom resource.
- CONFIGMAP_NAME: the name you gave to the ConfigMap object.
- JSON_FILE_NAME: the name you gave to the file that contains the JSON model of the dashboard in the ConfigMap object.
Note: To organize dashboards in folders, specify the foldername in the spec section of the Dashboard resource. Omitting this field defaults to the Default folder. Folders are automatically created if they don't exist.

Apply the Dashboard custom resource to the Management API server:

kubectl --kubeconfig ${KUBECONFIG} apply -f DASHBOARD_NAME.yaml

The system monitors changes to both the Dashboard custom resource and the associated ConfigMap object. To update or delete a dashboard, modify these resources. Any modifications trigger an update to Grafana. You can't save any updates performed directly in the Grafana user interface.

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