gitlab-org--gitlab-foss/doc/operations/metrics/dashboards/yaml.md

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Dashboard YAML properties

Dashboards have several components:

• Templating variables.
• Panel groups, which consist of panels.
• Panels, which support one or more metrics.

The following tables outline the details of expected properties.

Dashboard (top-level) properties

Property	Type	Required	Description
dashboard	string	yes	Heading for the dashboard. Only one dashboard should be defined per file.
panel_groups	array	yes	The panel groups which should be on the dashboard.
templating	hash	no	Top level key under which templating related options can be added.
links	array	no	Add links to display on the dashboard.

Templating (templating) properties

Property	Type	Required	Description
variables	hash	yes	Variables can be defined here.

Read the documentation on templating.

Links (links) properties

Property	Type	Required	Description
url	string	yes	The address of the link.
title	string	no	Display title for the link.
type	string	no	Type of the link. Specifies the link type, can be: grafana

Read the documentation on links.

Panel group (panel_groups) properties

Property	Type	Required	Description
group	string	required	Heading for the panel group.
priority	number	optional, defaults to order in file	Order to appear on the dashboard. Higher number means higher priority, which will be higher on the page. Numbers do not need to be consecutive.
panels	array	required	The panels which should be in the panel group.

Panels in a panel group are laid out in rows consisting of two panels per row. An exception to this rule are single panels on a row: these panels will take the full width of their containing row.

Panel (panels) properties

Property	Type	Required	Description
type	enum	no, defaults to area-chart	Specifies the chart type to use, can be: area-chart, line-chart or anomaly-chart.
title	string	yes	Heading for the panel.
y_label	string	no, but highly encouraged	Y-Axis label for the panel.
y_axis	string	no	Y-Axis configuration for the panel.
max_value	number	no	Denominator value used for calculating percentile based results
weight	number	no, defaults to order in file	Order to appear within the grouping. Lower number means higher priority, which will be higher on the page. Numbers do not need to be consecutive.
metrics	array	yes	The metrics which should be displayed in the panel. Any number of metrics can be displayed when type is area-chart or line-chart, whereas only 3 can be displayed when type is anomaly-chart.
links	array	no	Add links to display on the chart's context menu.

Axis (panels[].y_axis) properties

Property	Type	Required	Description
name	string	no, but highly encouraged	Y-Axis label for the panel. Replaces y_label if set.
format	string	no, defaults to engineering	Unit format used. See the full list of units.
precision	number	no, defaults to 2	Number of decimal places to display in the number.

Metrics (metrics) properties

Property	Type	Required	Description
id	string	no	Used for associating dashboard metrics with database records. Must be unique across dashboard configuration files. Required for alerting (support not yet enabled, see relevant issue).
unit	string	yes	Defines the unit of the query's return data.
label	string	no, but highly encouraged	Defines the legend-label for the query. Should be unique within the panel's metrics. Can contain time series labels as interpolated variables.
query	string	yes if query_range is not defined	Defines the Prometheus query to be used to populate the chart/panel. If defined, the query endpoint of the Prometheus API will be utilized.
query_range	string	yes if query is not defined	Defines the Prometheus query to be used to populate the chart/panel. If defined, the query_range endpoint of the Prometheus API will be utilized.
step	number	no, value is calculated if not defined	Defines query resolution step width in float number of seconds. Metrics on the same panel should use the same step value.

Dynamic labels

Dynamic labels are useful when multiple time series are returned from a Prometheus query.

When a static label is used and a query returns multiple time series, then all the legend items will be labeled the same, which makes identifying each time series difficult:

metrics:
  - id: my_metric_id
    query_range: 'http_requests_total'
    label: "Time Series"
    unit: "count"

This may render a legend like this:

For labels to be more explicit, using variables that reflect time series labels is a good practice. The variables will be replaced by the values of the time series labels when the legend is rendered:

metrics:
  - id: my_metric_id
    query_range: 'http_requests_total'
    label: "Instance: {{instance}}, method: {{method}}"
    unit: "count"

The resulting rendered legend will look like this:

There is also a shorthand value for dynamic dashboard labels that make use of only one time series label:

metrics:
  - id: my_metric_id
    query_range: 'http_requests_total'
    label: "Method"
    unit: "count"

This works by lowercasing the value of label and, if there are more words separated by spaces, replacing those spaces with an underscore (_). The transformed value is then checked against the labels of the time series returned by the Prometheus query. If a time series label is found that is equal to the transformed value, then the label value will be used and rendered in the legend like this: