Important: This documentation is about an older version. It's relevant only to the release noted, many of the features and functions have been updated or replaced. Please view the current version.

Grafana Cloud Enterprise

Export logs of usage insights


Available in Grafana Enterprise version 7.4 and later, and Grafana Cloud Pro and Advanced.

By exporting usage logs to Loki, you can directly query them and create dashboards of the information that matters to you most, such as dashboard errors, most active organizations, or your top-10 most-used queries. This configuration is done for you in Grafana Cloud, with provisioned dashboards. Read about them in the Grafana Cloud documentation.

Usage insights logs

Usage insights logs are JSON objects that represent certain user activities, such as:

  • A user opens a dashboard.
  • A query is sent to a data source.


A log is created every time a user opens a dashboard or when a query is sent to a data source in the dashboard view. A query that is performed via Explore does not generate a log.


Logs of usage insights contain the following fields, where the fields followed by * are always available, and the others depend on the logged event:

Field nameTypeDescription
eventName*stringType of the event, which can be either data-request or dashboard-view.
folderName*stringName of the dashboard folder.
dashboardName*stringName of the dashboard where the event happened.
dashboardId*numberID of the dashboard where the event happened.
datasourceNamestringName of the data source that was queried.
datasourceTypestringType of the data source that was queried. For example, prometheus, elasticsearch, or loki.
datasourceIdnumberID of the data source that was queried.
panelIdnumberID of the panel of the query.
panelNamestringName of the panel of the query.
errorstringError returned by the query.
durationnumberDuration of the query.
sourcestringSource of the query. For example, dashboard or explore.
orgId*numberID of the user’s organization.
orgName*stringName of the user’s organization.
timestamp*stringThe date and time that the request was made, in Coordinated Universal Time (UTC) in RFC3339 format.
tokenId*numberID of the user’s authentication token.
username*stringName of the Grafana user that made the request.
userId*numberID of the Grafana user that made the request.
totalQueries*numberNumber of queries executed for the data request.
cachedQueries*numberNumber of fetched queries that came from the cache.


To export your logs, enable the usage insights feature and configure an export location in the configuration file:

# Enable the usage insights export feature
enabled = true
# Storage type
storage = loki

The options for storage type are loki and logger (added in Grafana Enterprise 8.2).

If the storage type is set to loki you’ll need to also configure Grafana to export to a Loki ingestion server. To do this, you’ll need Loki installed. Refer to Install Loki for instructions on how to install Loki.

# Set the communication protocol to use with Loki (can be grpc or http)
type = grpc
# Set the address for writing logs to Loki (format must be host:port)
url = localhost:9095
# Defaults to true. If true, it establishes a secure connection to Loki
tls = true
# Set the tenant ID for Loki communication, which is disabled by default.
# The tenant ID is required to interact with Loki running in multi-tenant mode.
tenant_id =

Using logger will print usage insights to your Grafana server log. There is no option for configuring the logger storage type.

Visualize Loki usage insights in Grafana

If you export logs into Loki, you can build Grafana dashboards to understand your Grafana instance usage.

  1. Add Loki as a data source. Refer to Grafana fundamentals tutorial.
  2. Import one of the following dashboards:
  3. Play with usage insights to understand them:
    • In Explore, you can use the query {datasource="gdev-loki",kind="usage_insights"} to retrieve all logs related to your gdev-loki data source.
    • In a dashboard, you can build a table panel with the query topk(10, sum by (error) (count_over_time({kind="usage_insights", datasource="gdev-prometheus"} | json | error != "" [$__interval]))) to display the 10 most common errors your users see using the gdev-prometheus data source.
    • In a dashboard, you can build a graph panel with the queries sum by(host) (count_over_time({kind="usage_insights"} | json | eventName="data-request" | error != "" [$__interval])) and sum by(host) (count_over_time({kind="usage_insights"} | json | eventName="data-request" | error = "" [$__interval])) to show the evolution of the data request count over time. Using by (host) allows you to have more information for each Grafana server you have if you have set up Grafana for high availability.