Once enabled, GitLab will automatically detect metrics from known services in the [metric library](#monitoring-cicd-environments). You are also able to [add your own metrics](#adding-additional-metrics-premium) as well.
Prometheus is deployed into the `gitlab-managed-apps` namespace, using the [official Helm chart](https://github.com/helm/charts/tree/master/stable/prometheus). Prometheus is only accessible within the cluster, with GitLab communicating through the [Kubernetes API](https://kubernetes.io/docs/concepts/overview/kubernetes-api/).
The Prometheus server will [automatically detect and monitor](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#kubernetes_sd_config) nodes, pods, and endpoints. To configure a resource to be monitored by Prometheus, simply set the following [Kubernetes annotations](https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/):
CPU and Memory consumption is monitored, but requires [naming conventions](prometheus_library/kubernetes.html#specifying-the-environment) in order to determine the environment. If you are using [Auto DevOps](../../../topics/autodevops/), this is handled automatically.
The [NGINX Ingress](../clusters/index.md#installing-applications) that is deployed by GitLab to clusters, is automatically annotated for monitoring providing key response metrics: latency, throughput, and error rates.
GitLab will automatically scan the Prometheus server for metrics from known servers like Kubernetes and NGINX, and attempt to identify individual environment. The supported metrics and scan process is detailed in our [Prometheus Metrics Library documentation](prometheus_library/index.md).
Custom metrics can be monitored by adding them on the monitoring dashboard page. Once saved, they will be displayed on the environment performance dashboard provided that either:
- A [connected Kubernetes cluster](../clusters/add_remove_clusters.md) with the environment scope of `*` is used and [Prometheus installed on the cluster](#enabling-prometheus-integration)
- **Y-axis label**: Y axis title to display on the dashboard.
- **Unit label**: Query units, for example `req / sec`. Shown next to the value.
Multiple metrics can be displayed on the same chart if the fields **Name**, **Type**, and **Y-axis label** match between metrics. For example, a metric with **Name**`Requests Rate`, **Type**`Business`, and **Y-axis label**`rec / sec` would display on the same chart as a second metric with the same values. A **Legend label** is suggested if this feature used.
GitLab supports a limited set of [CI variables](../../../ci/variables/README.md) in the Prometheus query. This is particularly useful for identifying a specific environment, for example with `CI_ENVIRONMENT_SLUG`. The supported variables are:
1. Variables can be specified using the [Liquid template format](https://help.shopify.com/en/themes/liquid/basics), for example `{{ci_environment_slug}}` ([added](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/20793) in GitLab 12.6).
1. You can also enclose it in quotation marks with curly braces with a leading percent, for example `"%{ci_environment_slug}"`. This method is deprecated though and support will be [removed in the next major release](https://gitlab.com/gitlab-org/gitlab/issues/37990).
> [Introduced](https://gitlab.com/gitlab-org/gitlab/issues/37238) in GitLab 12.7.
You can save a copy of a GitLab defined dashboard that can be customized and adapted to your project. You can decide to save the dashboard new `.yml` file in the project's **default** branch or in a newly created branch with a name of your choosing.
1. Click on the "Duplicate dashboard" in the dashboard dropdown.
1. Input the file name and other information, such as a new commit message, and click on "Duplicate".
If you select your **default** branch, the new dashboard will become immediately available. If you select another branch, this branch should be merged to your **default** branch first.
| `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. |
| `title` | string | yes | Heading for the panel. |
| `y_label` | string | no, but highly encouraged | Y-Axis label for the panel. |
| `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`. |
| `id` | string | no | Used for associating dashboard metrics with database records. Must be unique across dashboard configuration files. Required for [alerting](#setting-up-alerts-for-prometheus-metrics-ultimate) (support not yet enabled, see [relevant issue](https://gitlab.com/gitlab-org/gitlab-foss/issues/60319)). |
| `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. |
| `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](https://prometheus.io/docs/prometheus/latest/querying/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](https://prometheus.io/docs/prometheus/latest/querying/api/) will be utilized. |
| query_range | string | required | For area panel types, you must use a [range query](https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries) |
To add an anomaly chart panel type to a dashboard, add add a panel with *exactly* 3 metrics.
The first metric represents the current state, and the second and third metrics represent the upper and lower limit respectively:
```yaml
dashboard: 'Dashboard Title'
panel_groups:
- group: 'Group Title'
panels:
- type: anomaly-chart
title: "Chart Title"
y_label: "Y-Axis"
metrics:
- id: anomaly_requests_normal
query_range: 'http_requests_total'
label: "# of Requests"
unit: "count"
metrics:
- id: anomaly_requests_upper_limit
query_range: 10000
label: "Max # of requests"
unit: "count"
metrics:
- id: anomaly_requests_lower_limit
query_range: 2000
label: "Min # of requests"
unit: "count"
```
Note the following properties:
| Property | Type | Required | Description |
| ------ | ------ | ------ | ------ |
| type | string | required | Must be `anomaly-chart` for anomaly panel types |
| query_range | yes | required | For anomaly panel types, you must use a [range query](https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries) in every metric. |
To add a column panel type to a dashboard, look at the following sample dashboard file:
```yaml
dashboard: 'Dashboard Title'
panel_groups:
- group: 'Group title'
panels:
- title: "Column"
type: "column"
metrics:
- id: 1024_memory
query: 'avg(sum(container_memory_usage_bytes{container_name!="POD",pod_name=~"^%{ci_environment_slug}-([^c].*|c([^a]|a([^n]|n([^a]|a([^r]|r[^y])))).*|)-(.*)",namespace="%{kube_namespace}"}) by (job)) without (job) / count(avg(container_memory_usage_bytes{container_name!="POD",pod_name=~"^%{ci_environment_slug}-([^c].*|c([^a]|a([^n]|n([^a]|a([^r]|r[^y])))).*|)-(.*)",namespace="%{kube_namespace}"}) without (job)) /1024/1024'
unit: MB
label: "Memory Usage"
```
Note the following properties:
| Property | Type | Required | Description |
| ------ | ------ | ------ | ------ |
| type | string | yes | Type of panel to be rendered. For column panel types, set to `column` |
| query_range | yes | yes | For column panel types, you must use a [range query](https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries) |
| `type` | string | yes | Type of panel to be rendered. For stacked column panel types, set to `stacked-column` |
| `query_range` | yes | yes | For stacked column panel types, you must use a [range query](https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries) |
| type | string | yes | Type of panel to be rendered. For single stat panel types, set to `single-stat` |
| query | string | yes | For single stat panel types, you must use an [instant query](https://prometheus.io/docs/prometheus/latest/querying/api/#instant-queries) |
![single stat panel type](img/prometheus_dashboard_single_stat_panel_type.png)
> [Introduced](https://gitlab.com/gitlab-org/gitlab/issues/30581) in GitLab 12.5.
To add a heatmap panel type to a dashboard, look at the following sample dashboard file:
```yaml
dashboard: 'Dashboard Title'
panel_groups:
- group: 'Group Title'
panels:
- title: "Heatmap"
type: "heatmap"
metrics:
- id: 10
query: 'sum(rate(nginx_upstream_responses_total{upstream=~"%{kube_namespace}-%{ci_environment_slug}-.*"}[60m])) by (status_code)'
unit: req/sec
label: "Status code"
```
Note the following properties:
| Property | Type | Required | Description |
| ------ | ------ | ------ | ------ |
| type | string | yes | Type of panel to be rendered. For heatmap panel types, set to `heatmap` |
| query_range | yes | yes | For area panel types, you must use a [range query](https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries) |
From each of the panels in the dashboard, you can access the context menu by clicking the **{ellipsis_v}** **More actions** dropdown box above the upper right corner of the panel to take actions related to the chart's data.
![Context Menu](img/panel_context_menu_v12_8.png)
The options are:
- [View logs](#view-pod-logs-ultimate)
- [Download CSV](#downloading-data-as-csv)
- [Generate link to chart](#embedding-gitlab-managed-kubernetes-metrics)
> [Introduced](https://gitlab.com/gitlab-org/gitlab/issues/122013) in GitLab 12.8.
If you have [Kubernetes Pod Logs](../clusters/kubernetes_pod_logs.md) enabled, you can navigate from the charts in the dashboard to view Pod Logs by clicking on the context menu in the upper-right corner.
If you use the **Timeline zoom** function at the bottom of the chart, logs will narrow down to the time range you selected.
> [Introduced](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/6590) in [GitLab Ultimate](https://about.gitlab.com/pricing/) 11.2 for [custom metrics](#adding-additional-metrics-premium), and 11.3 for [library metrics](prometheus_library/metrics.md).
For managed Prometheus instances using auto configuration, alerts for metrics [can be configured](#adding-additional-metrics-premium) directly in the performance dashboard.
For manually configured Prometheus servers, a notify endpoint is provided to use with Prometheus webhooks. If you have manual configuration enabled, an **Alerts** section is added to **Settings > Integrations > Prometheus**. This contains the *URL* and *Authorization Key*. The **Reset Key** button will invalidate the key and generate a new one.
![Prometheus service configuration of Alerts](img/prometheus_service_alerts.png)
To send GitLab alert notifications, copy the *URL* and *Authorization Key* into the [`webhook_configs`](https://prometheus.io/docs/alerting/configuration/#webhook_config) section of your Prometheus Alertmanager configuration:
In order for GitLab to associate your alerts with an [environment](../../../ci/environments.md), you need to configure a `gitlab_environment_name` label on the alerts you set up in Prometheus. The value of this should match the name of your Environment in GitLab.
>- [Introduced](https://gitlab.com/gitlab-org/gitlab/issues/4925) in [GitLab Ultimate](https://about.gitlab.com/pricing/) 11.11.
>- [From GitLab Ultimate 12.5](https://gitlab.com/gitlab-org/gitlab/issues/13401), when GitLab receives a recovery alert, it will automatically close the associated issue.
Once enabled, an issue will be opened automatically when an alert is triggered which contains values extracted from [alert's payload](https://prometheus.io/docs/alerting/configuration/#webhook_config
):
- Issue author: `GitLab Alert Bot`
- Issue title: Extract from `annotations/title`, `annotations/summary` or `labels/alertname`
- Alert `Summary`: A list of properties
-`starts_at`: Alert start time via `startsAt`
-`full_query`: Alert query extracted from `generatorURL`
- Optional list of attached annotations extracted from `annotations/*`
When GitLab receives a **Recovery Alert**, it will automatically close the associated issue. This action will be recorded as a system message on the issue indicated that it was closed automatically by the GitLab Alert bot.
To further customize the issue, you can add labels, mentions, or any other supported [quick action](../quick_actions.md) in the selected issue template, which will apply to all incidents. To limit quick actions or other information to only specific types of alerts, use the `annotations/gitlab_incident_markdown` field.
Since [version 12.2](https://gitlab.com/gitlab-org/gitlab-foss/issues/63373), GitLab will tag each incident issue with the `incident` label automatically. If the label does not yet exist, it will be created automatically as well.
If the metric exceeds the threshold of the alert for over 5 minutes, an email will be sent to all [Maintainers and Owners](../../permissions.md#project-members-permissions) of the project.
It is possible to display metrics charts within [GitLab Flavored Markdown](../../markdown.md#gitlab-flavored-markdown-gfm). The maximum number of embeds allowed in a GitLab Flavored Markdown field is 100.
It is also possible to embed either the default dashboard metrics or individual metrics in issue templates. For charts to render side-by-side, links to the entire metrics dashboard or individual metrics should be separated by either a comma or a space.
It is possible to embed live [Grafana](https://docs.gitlab.com/omnibus/settings/grafana.html) charts in issues, as a [direct linked rendered image](https://grafana.com/docs/grafana/latest/reference/share_panel/#direct-link-rendered-image).
Copy the link and add an image tag as [inline HTML](../../markdown.md#inline-html) in your Markdown. You may tweak the query parameters as required. For instance, removing the `&from=` and `&to=` parameters will give you a live chart. Here is example markup for a live chart from GitLab's public dashboard:
Each project can support integration with one Grafana instance. This configuration allows a user to copy a link to a panel in Grafana, then paste it into a GitLab Markdown field. The chart will be rendered in the GitLab chart format.
1. In Grafana, click on a panel's title, then click **Share** to open the panel's sharing dialog to the **Link** tab.
1. If your Prometheus queries use Grafana's custom template variables, ensure that "Template variables" and "Current time range" options are toggled to **On**. Of Grafana global template variables, only `$__interval`, `$__from`, and `$__to` are currently supported.
- You may need to re-add the GitLab predefined common metrics. This can be done by running the [import common metrics rake task](../../../administration/raketasks/maintenance.md#import-common-metrics).