# Prometheus integration
> 原文:[https://docs.gitlab.com/ee/user/project/integrations/prometheus.html](https://docs.gitlab.com/ee/user/project/integrations/prometheus.html)
* [Enabling Prometheus Integration](#enabling-prometheus-integration)
* [Managed Prometheus on Kubernetes](#managed-prometheus-on-kubernetes)
* [Requirements](#requirements)
* [Getting started](#getting-started)
* [About managed Prometheus deployments](#about-managed-prometheus-deployments)
* [Manual configuration of Prometheus](#manual-configuration-of-prometheus)
* [Requirements](#requirements-1)
* [Getting started](#getting-started-1)
* [Configuration in GitLab](#configuration-in-gitlab)
* [Thanos configuration in GitLab](#thanos-configuration-in-gitlab)
* [Precedence with multiple Prometheus configurations](#precedence-with-multiple-prometheus-configurations)
* [Determining the performance impact of a merge](#determining-the-performance-impact-of-a-merge)
# Prometheus integration[](#prometheus-integration "Permalink")
在 GitLab 9.0 中[引入](https://gitlab.com/gitlab-org/gitlab-foss/-/merge_requests/8935) .
GitLab 提供与[Prometheus 的](https://s0prometheus0io.icopy.site)强大集成,可直接在 GitLab 中监视您的应用程序的关键指标. 从 Prometheus 检索每个环境的度量,然后在 GitLab 界面中显示.
[![Environment Dashboard](https://img.kancloud.cn/e0/a5/e0a5f2b56e5f80c22e1f9870e5951e6d_1000x339.png)](img/prometheus_dashboard.png)
有两种方法可以设置 Prometheus 集成,具体取决于应用程序的运行位置:
* 对于在 Kubernetes 上的部署,GitLab 可以自动[部署和管理 Prometheus](#managed-prometheus-on-kubernetes) .
* 对于其他部署目标,只需[指定 Prometheus 服务器](#manual-configuration-of-prometheus) .
启用后,GitLab 将自动从[度量标准库](prometheus_library/index.html)中的已知服务中检测度量[标准](prometheus_library/index.html) . 您还可以[添加自己的指标](../../../operations/metrics/index.html#adding-custom-metrics)并创建[自定义仪表板](../../../operations/metrics/dashboards/index.html) .
## Enabling Prometheus Integration[](#enabling-prometheus-integration "Permalink")
### Managed Prometheus on Kubernetes[](#managed-prometheus-on-kubernetes "Permalink")
在 GitLab 10.5 中[引入](https://gitlab.com/gitlab-org/gitlab-foss/-/issues/28916) .
GitLab 可以在[连接的 Kubernetes 集群](../clusters/index.html)上无缝部署和管理 Prometheus,从而使对应用程序的监视变得容易.
#### Requirements[](#requirements "Permalink")
* A [connected Kubernetes cluster](../clusters/index.html)
#### Getting started[](#getting-started "Permalink")
拥有连接的 Kubernetes 集群后,只需单击即可轻松部署托管的 Prometheus.
1. 转到**操作> Kubernetes**页面以查看已连接的集群
2. 选择您要部署 Prometheus 的集群
3. 单击**安装**按钮以将 Prometheus 部署到群集
[![Managed Prometheus Deploy](https://img.kancloud.cn/fb/4e/fb4ecc4341a59a5d6c44403808d82e9f_860x50.png)](img/prometheus_deploy.png)
#### About managed Prometheus deployments[](#about-managed-prometheus-deployments "Permalink")
使用[官方 Helm 图表](https://github.com/helm/charts/tree/master/stable/prometheus)将 Prometheus 部署到`gitlab-managed-apps`命名空间中. Prometheus 仅可在集群中访问,并且 GitLab 通过[Kubernetes API 进行](https://kubernetes.io/docs/concepts/overview/kubernetes-api/)通信.
Prometheus 服务器将[自动检测和监视](https://s0prometheus0io.icopy.site/docs/prometheus/latest/configuration/configuration/)节点,吊舱和端点. 要配置 Prometheus 监视的资源,只需设置以下[Kubernetes 批注](https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/) :
* `prometheus.io/scrape`为`true`以启用对资源的监视.
* `prometheus.io/port`定义度量标准端点的端口.
* `prometheus.io/path`来定义度量标准端点的路径. 默认为`/metrics` .
CPU 和内存使用情况受到监视,但是需要使用[命名约定](prometheus_library/kubernetes.html#specifying-the-environment)来确定环境. 如果您使用的是[Auto DevOps](../../../topics/autodevops/index.html) ,则会自动处理.
由 GitLab 部署到群集的[NGINX Ingress](../clusters/index.html#installing-applications)会自动添加注释,以进行监视,以提供关键的响应指标:延迟,吞吐量和错误率.
### Manual configuration of Prometheus[](#manual-configuration-of-prometheus "Permalink")
#### Requirements[](#requirements-1 "Permalink")
与 Prometheus 集成需要满足以下条件:
1. GitLab 9.0 或更高版本
2. 必须将 Prometheus 配置为收集[支持的指标之一](prometheus_library/index.html)
3. Each metric must be have a label to indicate the environment
4. GitLab 必须与 Prometheus 服务器具有网络连接
#### Getting started[](#getting-started-1 "Permalink")
安装和配置 Prometheus 来监视应用程序非常简单.
1. [Install Prometheus](https://s0prometheus0io.icopy.site/docs/prometheus/latest/installation/)
2. 设置[受支持的监视目标之一](prometheus_library/index.html)
3. 配置 Prometheus 服务器以[收集其指标](https://s0prometheus0io.icopy.site/docs/prometheus/latest/configuration/configuration/)
#### Configuration in GitLab[](#configuration-in-gitlab "Permalink")
GitLab 中 Prometheus 集成的实际配置非常简单. 您只需要与您要集成的 Prometheus 服务器的域名或 IP 地址. 如果 Prometheus 资源由 Google 的身份识别代理(IAP)保护,则可以传递其他信息,例如客户端 ID 和服务帐户凭据,GitLab 可以使用这些信息来访问资源. 有关从服务帐户进行身份验证的更多信息,请参见 Google 的" [从服务帐户](https://cloud.google.com/iap/docs/authentication-howto#authenticating_from_a_service_account)进行[身份验证"](https://cloud.google.com/iap/docs/authentication-howto#authenticating_from_a_service_account)文档.
1. 导航至位于的" [集成"页面](overview.html#accessing-integrations) **设置>集成** .
2. 单击**Prometheus**服务.
3. 对于**API URL** ,请提供服务器的域名或 IP 地址,例如`http://prometheus.example.com/`或`http://192.0.2.1/` .
4. (可选)在**Google IAP Audience Client ID 中** ,提供受 Google IAP 保护的 Prometheus OAuth Client 的 Client ID.
5. (可选)在**Google IAP 服务帐户 JSON 中** ,提供被授权访问 Prometheus 资源的服务帐户凭据文件的内容.
6. Click **保存更改**.
[![Configure Prometheus Service](https://img.kancloud.cn/19/fe/19fe69c7d62ca87b70f82b0a04bd3913_681x512.png)](img/prometheus_manual_configuration_v13_2.png)
#### Thanos configuration in GitLab[](#thanos-configuration-in-gitlab "Permalink")
您可以使用 GitLab 将[Thanos](https://thanos.io/)配置为 Prometheus 的替代品. 您将需要与之集成的 Thanos 服务器的域名或 IP 地址.
1. 导航到" [集成"页面](overview.html#accessing-integrations) .
2. 单击**Prometheus**服务.
3. 提供服务器的域名或 IP 地址,例如`http://thanos.example.com/`或`http://192.0.2.1/` .
4. Click **保存更改**.
### Precedence with multiple Prometheus configurations[](#precedence-with-multiple-prometheus-configurations "Permalink")
尽管可以同时启用 Prometheus 的[手动配置](#manual-configuration-of-prometheus)和[自动配置](#managed-prometheus-on-kubernetes) ,但仅使用其中之一:
* 如果您已[在 Kubernetes 上](#managed-prometheus-on-kubernetes)启用了[Prometheus 手动配置](#manual-configuration-of-prometheus)和[托管的 Prometheus](#managed-prometheus-on-kubernetes) ,则手动配置优先,并用于从[仪表板](../../../operations/metrics/dashboards/index.html#defining-custom-dashboards-per-project)和[自定义指标](../../../operations/metrics/index.html#adding-custom-metrics)运行查询.
* 如果您已在**不同**级别(项目,组,实例)的 Kubernetes 集群上安装了托管的 Prometheus 应用程序,则集群的优先级中将描述[优先级的顺序](../../instance/clusters/index.html#cluster-precedence) .
* If you have managed Prometheus applications installed on multiple Kubernetes clusters at the **same** level, the Prometheus application of a cluster with a matching [environment scope](../../../ci/environments/index.html#scoping-environments-with-specs) is used.
## Determining the performance impact of a merge[](#determining-the-performance-impact-of-a-merge "Permalink")
版本历史
* 在 GitLab 9.2 中[引入](https://gitlab.com/gitlab-org/gitlab-foss/-/merge_requests/10408) .
* GitLab 9.3 添加了 30 分钟平均值的[数字比较](https://gitlab.com/gitlab-org/gitlab-foss/-/issues/27439) .
开发人员可以在合并请求工作流程中查看其更改对性能的影响.
**Note:** Requires [Kubernetes](prometheus_library/kubernetes.html) metrics.
将源分支部署到环境后,将出现迷你图和平均内存消耗的数值比较. 在迷你图上,圆点指示部署当前更改的时间,前后最多显示 30 分钟的性能数据. 比较结果显示了部署前后 30 分钟平均值之间的差异. 部署每个提交后,将更新此信息.
合并并重新部署目标分支后,指标将切换为显示此修订版已部署到的新环境.
性能数据将在 Prometheus 服务器上持久保存的时间内可用.
[![Merge Request with Performance Impact](https://img.kancloud.cn/9d/78/9d785deb208266d79726e22cd247fbb7_1940x664.png)](img/merge_request_performance.png)
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