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Documentation Grafana documentation Beginner Guides Data Sources Using Prometheus in Grafana

Using Prometheus in Grafana

Grafana includes built-in support for Prometheus.

Adding the data source to Grafana

1. Open the side menu by clicking the Grafana icon in the top header.
2. In the side menu under the Dashboards link you should find a link named Data Sources.
3. Click the + Add data source button in the top header.
4. Select Prometheus from the Type dropdown.

NOTE: If you’re not seeing the Data Sources link in your side menu it means that your current user does not have the Admin role for the current organization.

Data source options

Query editor

Open a graph in edit mode by click the title > Edit (or by pressing e key while hovering over panel).

Templating

Instead of hard-coding things like server, application and sensor name in you metric queries you can use variables in their place. Variables are shown as dropdown select boxes at the top of the dashboard. These dropdowns makes it easy to change the data being displayed in your dashboard.

Checkout the Templating documentation for an introduction to the templating feature and the different types of template variables.

Query variable

Variable of the type Query allows you to query Prometheus for a list of metrics, labels or label values. The Prometheus data source plugin provides the following functions you can use in the Query input field.

For details of metric names, label names and label values are please refer to the Prometheus documentation.

Using interval and range variables

Support for $__range, $__range_s and $__range_ms only available from Grafana v5.3

It’s possible to use some global built-in variables in query variables; $__interval, $__interval_ms, $__range, $__range_s and $__range_ms, see Global built-in variables for more information. These can be convenient to use in conjunction with the query_result function when you need to filter variable queries since label_values function doesn’t support queries.

Make sure to set the variable’s refresh trigger to be On Time Range Change to get the correct instances when changing the time range on the dashboard.

Example usage:

Populate a variable with the the busiest 5 request instances based on average QPS over the time range shown in the dashboard:

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Query: query_result(topk(5, sum(rate(http_requests_total[$__range])) by (instance)))
Regex: /"([^"]+)"/

Populate a variable with the instances having a certain state over the time range shown in the dashboard, using the more precise $__range_s:

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Query: query_result(max_over_time(<metric>[${__range_s}s]) != <state>)
Regex:

Using variables in queries

There are two syntaxes:

• $<varname> Example: rate(http_requests_total{job=~"$job"}[5m])
• [[varname]] Example: rate(http_requests_total{job=~"[[job]]"}[5m])

Why two ways? The first syntax is easier to read and write but does not allow you to use a variable in the middle of a word. When the Multi-value or Include all value options are enabled, Grafana converts the labels from plain text to a regex compatible string. Which means you have to use =~ instead of =.

Annotations

Annotations allows you to overlay rich event information on top of graphs. You add annotation queries via the Dashboard menu / Annotations view.

Prometheus supports two ways to query annotations.

• A regular metric query
• A Prometheus query for pending and firing alerts (for details see Inspecting alerts during runtime)

The step option is useful to limit the number of events returned from your query.

Getting Grafana metrics into Prometheus

Since 4.6.0 Grafana exposes metrics for Prometheus on the /metrics endpoint. We also bundle a dashboard within Grafana so you can get started viewing your metrics faster. You can import the bundled dashboard by going to the data source edit page and click the dashboard tab. There you can find a dashboard for Grafana and one for Prometheus. Import and start viewing all the metrics!

Configure the Datasource with Provisioning

It’s now possible to configure datasources using config files with Grafana’s provisioning system. You can read more about how it works and all the settings you can set for datasources on the provisioning docs page

Here are some provisioning examples for this datasource.

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apiVersion: 1

datasources:
  - name: Prometheus
    type: prometheus
    access: proxy
    url: http://localhost:9090