# Monitoring Kubernetes > 原文：[https://docs.gitlab.com/ee/user/project/integrations/prometheus_library/kubernetes.html](https://docs.gitlab.com/ee/user/project/integrations/prometheus_library/kubernetes.html) * [Requirements](#requirements) * [Metrics supported](#metrics-supported) * [Configuring Prometheus to monitor for Kubernetes metrics](#configuring-prometheus-to-monitor-for-kubernetes-metrics) * [Specifying the Environment](#specifying-the-environment) * [Displaying Canary metrics](#displaying-canary-metrics-premium) * [Canary metrics supported](#canary-metrics-supported) # Monitoring Kubernetes[](#monitoring-kubernetes "Permalink") 在 GitLab 9.0 中[引入](https://gitlab.com/gitlab-org/gitlab-foss/-/merge_requests/8935) . GitLab 支持自动检测和监视 Kubernetes 指标. ## Requirements[](#requirements "Permalink") 必须启用[Prometheus](../prometheus.html)和[Kubernetes](../kubernetes.html)集成服务. ## Metrics supported[](#metrics-supported "Permalink") * 平均内存使用量（MB）： ``` 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 ``` * 平均 CPU 使用率（％）： ``` avg(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^%{ci_environment_slug}-([^c].*|c([^a]|a([^n]|n([^a]|a([^r]|r[^y])))).*|)-(.*)",namespace="%{kube_namespace}"}[15m])) by (job)) without (job) / count(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^%{ci_environment_slug}-([^c].*|c([^a]|a([^n]|n([^a]|a([^r]|r[^y])))).*|)-(.*)",namespace="%{kube_namespace}"}[15m])) by (pod_name)) ``` ## Configuring Prometheus to monitor for Kubernetes metrics[](#configuring-prometheus-to-monitor-for-kubernetes-metrics "Permalink") 为了收集 Kubernetes 指标，需要将 Prometheus 部署到集群中并进行正确配置. GitLab 支持两种方法： * GitLab [与 Kubernetes 集成](../../clusters/index.html) ，并且可以[将 Prometheus 部署到连接的集群中](../prometheus.html#managed-prometheus-on-kubernetes) . 它被自动配置为收集 Kubernetes 指标. * 要配置自己的 Prometheus 服务器，可以遵循[Prometheus 文档](https://s0prometheus0io.icopy.site/docs/introduction/overview/) . ## Specifying the Environment[](#specifying-the-environment "Permalink") 为了隔离并仅显示给定环境的相关 CPU 和内存指标，GitLab 需要一种方法来检测其正在运行的容器. 由于这些指标是在容器级别跟踪的，因此传统的 Kubernetes 标签不可用. 相反， [Deployment](https://kubernetes.io/docs/concepts/workloads/controllers/deployment/)或[DaemonSet](https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/)名称应以[CI_ENVIRONMENT_SLUG 开头](../../../../ci/variables/README.html#predefined-environment-variables) . 如果需要，可以在其后跟一个`-`和其他内容. 例如， `review-homepage-5620p5`的部署名称将与`review/homepage`环境匹配. ## Displaying Canary metrics[](#displaying-canary-metrics-premium "Permalink") 在[GitLab 10.2 中](https://gitlab.com/gitlab-org/gitlab-foss/-/merge_requests/15201)引入. GitLab 还收集了针对[Canary 部署的](../../canary_deployments.html) Kubernetes 指标，从而可以轻松比较当前部署的版本和 Canary. 这些度量标准期望[Deployment](https://kubernetes.io/docs/concepts/workloads/controllers/deployment/)或[DaemonSet](https://kubernetes.io/docs/concepts/workloads/controllers/daemonset/)名称以`$CI_ENVIRONMENT_SLUG-canary`开头，以隔离 canary 度量标准. ### Canary metrics supported[](#canary-metrics-supported "Permalink") * 平均内存使用量（MB） ``` avg(sum(container_memory_usage_bytes{container_name!="POD",pod_name=~"^%{ci_environment_slug}-canary-(.*)",namespace="%{kube_namespace}"}) by (job)) without (job) / count(avg(container_memory_usage_bytes{container_name!="POD",pod_name=~"^%{ci_environment_slug}-canary-(.*)",namespace="%{kube_namespace}"}) without (job)) /1024/1024 ``` * 平均 CPU 使用率（％） ``` avg(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^%{ci_environment_slug}-canary-(.*)",namespace="%{kube_namespace}"}[15m])) by (job)) without (job) / count(sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name=~"^%{ci_environment_slug}-canary-(.*)",namespace="%{kube_namespace}"}[15m])) by (pod_name)) ```