Documentation OnCall Manage Insight logs and metrics

Insight Logs and Metrics

Metrics

Grafana OnCall Metrics represents certain parameters, such as:

• A total count of alert groups for each integration in every state (firing, acknowledged, resolved, silenced). It is a gauge, and its name has the suffix alert_groups_total
• Response time on alert groups for each integration (mean time between the start and first action of all alert groups for the last 7 days in selected period). It is a histogram, and its name has the suffix alert_groups_response_time with the histogram suffixes such as _bucket, _sum and _count
• A total count of alert groups users were notified of for each user. It is a counter, and its name has the suffix user_was_notified_of_alert_groups_total

You can find more information about metrics types in the Prometheus documentation.

To retrieve Prometheus metrics use PromQL. If you are not familiar with PromQL, check this documentation.

For Grafana Cloud customers

OnCall application metrics are collected in preinstalled grafanacloud_usage datasource and are available for every cloud instance.

Metrics have prefix grafanacloud_oncall_instance, e.g. grafanacloud_oncall_instance_alert_groups_total, grafanacloud_oncall_instance_alert_groups_response_time_seconds_bucket and grafanacloud_oncall_instance_user_was_notified_of_alert_groups_total.

For open source customers

To collect OnCall application metrics you need to set up Prometheus and add it to your Grafana instance as a datasource. You can find more information about Prometheus setup in the OSS documentation

Metrics will have the prefix oncall, e.g. oncall_alert_groups_total, oncall_alert_groups_response_time_seconds_bucket and oncall_user_was_notified_of_alert_groups_total.

Your metrics may also have additional labels, such as pod, instance, container, depending on your Prometheus setup.

Metrics: Alert groups total

This metric has the following labels:

Query example:

Get the number of alert groups in “firing” state in integration “Grafana Alerting” in Grafana stack “test_stack”:

promql Copy

grafanacloud_oncall_instance_alert_groups_total{slug="test_stack", integration="Grafana Alerting", state="firing"}

Metrics: Alert groups response time

This metric has the following labels:

Query example:

Get the number of alert groups with response time more than 10 minutes (600 seconds) in integration “Grafana Alerting” in Grafana stack “test_stack”:

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grafanacloud_oncall_instance_alert_groups_response_time_seconds_bucket{slug="test_stack", integration="Grafana Alerting", le="600"}

Metrics: Alert groups user was notified of

This metric has the following labels:

Query example:

Get the number of alert groups user with username “alex” was notified of in Grafana stack “test_stack”:

promql Copy

grafanacloud_oncall_instance_user_was_notified_of_alert_groups_total{slug="test_stack", username="alex"}

Dashboard

You can find the “OnCall Insights” dashboard in the list of your dashboards in the folder General, it has the tag oncall. In the datasource dropdown select your Prometheus datasource (for Cloud customers it’s grafanacloud_usage). You can filter data by your Grafana instances, teams and integrations.

To re-import OnCall metrics dashboard go to Administration -> Plugins page, find OnCall in the plugins list, open Dashboards tab at the OnCall plugin settings page and click “Re-import” near “OnCall Metrics”. After that you can find the “OnCall Metrics” dashboard in your dashboards list.

Be aware: if you have made changes to the dashboard, they will be lost after re-importing or after the plugin update. To save your changes go to the “OnCall Metrics” dashboard settings, click “Save as” and save a copy of the dashboard.

You can also view Insights from Grafana OnCall.

To view Insights, complete the following steps.

1. Open Grafana OnCall.
2. Click the Insights sub-section in the navigation menu.

Logs

Note: Grafana OnCall insight logs are available in Grafana Cloud only. We’re in the process of rolling out Insight Logs to all customers, if you don’t see insight logs in your Grafana Cloud stack, please reach out to support.

Grafana OnCall Insights Logs represents certain activities, such as when:

• A user creates, updates, or deletes a resource.
• A Maintenance mode is started or finished for an integration.
• A user configures a ChatOps integration.

This configuration is done for you in Grafana Cloud with Usage Insights Loki data source. You can use this query to retrieve all logs related to your OnCall instance.

logql Copy

{instance_type="oncall"} | logfmt | __error__=``

Resource logs

Logs are created each time a user modifies any resource in Grafana OnCall.

These logs will have action_type=resource field and can be retrieved with following query:

logql Copy

{instance_type="oncall"} | logfmt | __error__=`` | action_type = `resource`

Format

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

resource types are: integration_heartbeat, escalation_chain, integration, outgoing_webhook, escalation_policy, public_api_token, schedule_export_token,user_schedule_export_token, oncall_shift, web_schedule, ical_schedule, calendar_schedule, shift_swap_request, organization, user, webhook.

Maintenance logs

Logs are created every time when a maintenance mode is started or finished for an integration.

These logs will have action_type=maintenace field and can be retrieved with following query:

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{instance_type="oncall"} | logfmt | __error__=`` | action_type = `maintenance`

Format

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

ChatOps logs

Logs are created when user modifies ChatOps settings.

These log lines will have action_type=chat_ops field and can be retrieved with following query:

logql Copy

{instance_type="oncall"} | logfmt | __error__=`` | action_type = `chat_ops`

Format

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

chatops action names: workspace_connected, workspace_disconnected, channel_connected, channel_disconnected, user_linked, used_unlinked, default_channel_changed.

Examples

Here is some examples of practical queries to Grafana OnCall insight logs. LogQL is used to retrieve them. If you aren’t familiar with LogQL, refer to LogQL: Log query language.

Resource IDs are used a lot in insight logs. You can find them in web ui (example for integration):

1. Open Grafana OnCall.
2. Navigate to resource.
3. The URL looks like https://<YOUR_STACK_SLUG>/a/grafana-oncall-app/integrations/C5VXMIFKKP67K.
4. Integration ID is C5VXMIFKKP67K.

Alternatively you can find the resource ID using the Grafana OnCall API or browser dev tools.

Actions performed by user:

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{instance_type="oncall"} | logfmt | __error__=`` | action_type = `resource` and author="<username>"

Actions performed with all schedules:

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{instance_type="oncall"} | logfmt | __error__=`` | action_type = `resource` and (resource_type=`web_schedule` or resource_type=`calendar_schedule` or resource_type=`ical_schedule`)

Changes of escalation policies for escalation chain:

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{instance_type="oncall"} | logfmt | __error__=`` | action_type = `resource` and resource_type=`escalation_policy` and escalation_chain_id=`<ESCALATION_CHAIN_ID>`

Maintenance events for integration:

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{instance_type="oncall"} | logfmt | __error__=`` | action_type = `maintenance` and resource_id=`CSA67IQW2NMVL`

Actions performed with slack chatops integration:

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{instance_type="oncall"} | logfmt | __error__=`` | action_type = `chat_ops` and chat_ops_type=`slack`