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2025/1/8 4:22:32 来源：https://blog.csdn.net/binqian/article/details/144175539  浏览:  次   关键词：免费申请qq账号_谷歌推广开户_用手机制作自己的网站_上海seo怎么优化
免费申请qq账号_谷歌推广开户_用手机制作自己的网站_上海seo怎么优化

数据采集组件

kube-state-metrics介绍

       kube-state-metrics 是一个用于从 Kubernetes API进行交互来收集数据，并将这些状态信息存储在本地存储中，导出各种对象的状态指标的工具。它暴露的指标包括各种 Kubernetes 对象的状态信息，如 Pod、Node、Namespace、Deployment、ReplicaSet 等。它可以给Prometheus 提供数据，用于监控k8s集群。（默认kube-state-metrics服务不在Kubernetes集群中）,go语言编写.

    kube-state-metrics 能提供的信息包括：

 kube_pod_info: 提供关于 Pod 的基本信息。
kube_pod_start_time: Pod 的启动时间。
kube_pod_completion_time: Pod 的完成时间（如果有）。
kube_pod_status_phase: Pod 当前所处的生命周期阶段（Pending, Running, Succeeded, Failed 等）。
kube_pod_status_ready: 表示 Pod 是否准备就绪。
kube_pod_status_scheduled: Pod 调度状态。
kube_pod_container_info: Pod 中容器的基本信息。
kube_pod_container_status_waiting: 描述容器是否处于等待状态及其原因。

kube-state-metrics安装

   版本对应关系

下载地址： GitHub - kubernetes/kube-state-metrics: Add-on agent to generate and expose cluster-level metrics.

  我自己安装的时v2.10.1，因为k8s是1.27.5版本

 下载相应yaml和镜像

     下载相应的源码[Release v2.10.1 / 2023-10-09 · kubernetes/kube-state-metrics · GitHub]【https://download.csdn.net/download/binqian/90066879】， 在 源码/kube-state-metrics/examples/standard/ 文件夹中有安装需要的yaml文件。

   下面是我自己在官方上改的一个yaml，就改了镜像地址和添加了下载私库镜像的验证信息，其他没变

apiVersion: v1
automountServiceAccountToken: false
kind: ServiceAccount
metadata:labels:app.kubernetes.io/component: exporterapp.kubernetes.io/name: kube-state-metricsapp.kubernetes.io/version: 2.10.1name: kube-state-metricsnamespace: kube-system
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:labels:app.kubernetes.io/component: exporterapp.kubernetes.io/name: kube-state-metricsapp.kubernetes.io/version: 2.10.1name: kube-state-metrics
rules:
- apiGroups:- ""resources:- configmaps- secrets- nodes- pods- services- serviceaccounts- resourcequotas- replicationcontrollers- limitranges- persistentvolumeclaims- persistentvolumes- namespaces- endpointsverbs:- list- watch
- apiGroups:- appsresources:- statefulsets- daemonsets- deployments- replicasetsverbs:- list- watch
- apiGroups:- batchresources:- cronjobs- jobsverbs:- list- watch
- apiGroups:- autoscalingresources:- horizontalpodautoscalersverbs:- list- watch
- apiGroups:- authentication.k8s.ioresources:- tokenreviewsverbs:- create
- apiGroups:- authorization.k8s.ioresources:- subjectaccessreviewsverbs:- create
- apiGroups:- policyresources:- poddisruptionbudgetsverbs:- list- watch
- apiGroups:- certificates.k8s.ioresources:- certificatesigningrequestsverbs:- list- watch
- apiGroups:- discovery.k8s.ioresources:- endpointslicesverbs:- list- watch
- apiGroups:- storage.k8s.ioresources:- storageclasses- volumeattachmentsverbs:- list- watch
- apiGroups:- admissionregistration.k8s.ioresources:- mutatingwebhookconfigurations- validatingwebhookconfigurationsverbs:- list- watch
- apiGroups:- networking.k8s.ioresources:- networkpolicies- ingressclasses- ingressesverbs:- list- watch
- apiGroups:- coordination.k8s.ioresources:- leasesverbs:- list- watch
- apiGroups:- rbac.authorization.k8s.ioresources:- clusterrolebindings- clusterroles- rolebindings- rolesverbs:- list- watch
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:labels:app.kubernetes.io/component: exporterapp.kubernetes.io/name: kube-state-metricsapp.kubernetes.io/version: 2.10.1name: kube-state-metrics
roleRef:apiGroup: rbac.authorization.k8s.iokind: ClusterRolename: kube-state-metrics
subjects:
- kind: ServiceAccountname: kube-state-metricsnamespace: kube-system
---
apiVersion: v1
kind: Service
metadata:labels:app.kubernetes.io/component: exporterapp.kubernetes.io/name: kube-state-metricsapp.kubernetes.io/version: 2.10.1name: kube-state-metricsnamespace: kube-system
spec:clusterIP: Noneports:- name: http-metricsport: 8080targetPort: http-metrics- name: telemetryport: 8081targetPort: telemetryselector:app.kubernetes.io/name: kube-state-metrics
---apiVersion: apps/v1
kind: Deployment
metadata:labels:app.kubernetes.io/component: exporterapp.kubernetes.io/name: kube-state-metricsapp.kubernetes.io/version: 2.10.1name: kube-state-metricsnamespace: kube-system
spec:replicas: 1selector:matchLabels:app.kubernetes.io/name: kube-state-metricstemplate:metadata:labels:app.kubernetes.io/component: exporterapp.kubernetes.io/name: kube-state-metricsapp.kubernetes.io/version: 2.10.1spec:imagePullSecrets:   [这个自己后面添加的，用户下载私库中的镜像验证的]- name: harborregcred   [这个自己后面添加的，用户下载私库中的镜像验证的]automountServiceAccountToken: truecontainers:- image: xx.xx.xx.22:444/base/kube-state-metrics:v2.10.1[改成自己的镜像地址]livenessProbe:httpGet:path: /healthzport: 8080initialDelaySeconds: 5timeoutSeconds: 5name: kube-state-metricsports:- containerPort: 8080name: http-metrics- containerPort: 8081name: telemetryreadinessProbe:httpGet:path: /port: 8081initialDelaySeconds: 5timeoutSeconds: 5securityContext:allowPrivilegeEscalation: falsecapabilities:drop:- ALLreadOnlyRootFilesystem: truerunAsNonRoot: truerunAsUser: 65534seccompProfile:type: RuntimeDefaultnodeSelector:kubernetes.io/os: linuxserviceAccountName: kube-state-metrics

下载相应的镜像，镜像怎么下载只能自己想办法。

registry.k8s.io/kube-state-metrics/kube-state-metrics:v2.10.1

安装

kubectl apply -f   kube-state-metrics:v2.10.1

然后把kube-state-metrics:v2.10.1 的service通过ingress或者通过nodeport暴露出，提供给监控工具，我选择的是Prometheus。我选择的是ingress 方式，通过http://xxxx:port 结果如下，说明代理成功了。

http://xx.xx.xx.22:9099/metrics  获取详细监控信息

http://xx.xx.xx.22:9099/healthz  返回ok 说明kube-state-metrics实例健康

监控组件

  Prometheus数据源

     此工具负责调用kube-state-metrics 接口，采集数据存放在自己的时序数据库TSDB中

      由于Prometheus没有安装在k8s集群里面，而是在外边，它是通过调用kube-state-metrics暴露的服务来采集k8s集群信息的，以便进行监控。具体怎么安装【CSDN】。

     下面就是怎么配置，我是手动安装了 Prometheus，配置文件于 /etc/prometheus/prometheus.yml 

# my global config
global:scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.# scrape_timeout is set to the global default (10s).# Alertmanager configuration
alerting:alertmanagers:- static_configs:- targets:# - alertmanager:9093# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:# - "first_rules.yml"# - "second_rules.yml"# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.- job_name: "prometheus"# metrics_path defaults to '/metrics'# scheme defaults to 'http'.static_configs:- targets: ["localhost:9090"]- job_name: 'kube-state-metrics'  #添加这个配置static_configs:- targets: ['xx.xx.xx.22:9099']

然后重启Prometheus.

访问:Prometheus ，可以看到已经采集到k8s集群的信息了。

 

Grafana 安装及配置

   Grafana是一个展示工具，它从Prometheus获取到监控数据，进行可视化展示。

安装

yum install -y https://dl.grafana.com/enterprise/release/grafana-enterprise-10.0.1-1.x86_64.rpm
 

安装ok。图片是相关的依赖

启动服务

#设置服务开机自启动
systemctl enable grafana-server.service

#启动服务
systemctl start grafana-server.service

#查看服务状态
systemctl status grafana-server.service

关闭看服务：
systemctl stop grafana-server.service

说明启动ok了。 

  默认登录端口:3000 

http://xx.xx.xx.124:3000/login

  • 默认的登录用户名/密码：admin/admin

登录之后默认页面；

Grafana设置中文

      在默认情况下，Grafana使用英文作为其用户界面语言。Grafana提供了设置中文的选项，

在 grafana默认配置 grafana安装目录/conf/defaults.ini 中，将default_language = en-US改为 zh-Hans即可，linux安装默认目录：/usr/share/grafana/conf/defaults.ini

#default_language = en-US
default_language = zh-Hans
重启

Grafana的使用参考文章: https://zhuanlan.zhihu.com/p/613505002?utm_id=0

Prometheus数据源

配置展示模版

官方模版地址：Grafana dashboards | Grafana Labs

下载模版要先注册一个grafana账号，然后下载自己要的模版

进入刚才的kube-state-metrics-v2模版，修改自己的配置

 

- job_name: k8s-kube-state-metrics-YourDefinedK8sClusterName(自定义的k8s集群名字)
honor_timestamps: true
metrics_path: /metrics
scheme: http
static_configs:- targets: ['IP:PORT']
metric_relabel_configs:
- target_label: clusterreplacement: YourDefinedK8sClusterName(自定义的k8s集群名字，我的)修改如下- job_name: k8s-kube-state-metrics-kubernetes
honor_timestamps: true
metrics_path: /metrics
scheme: http
static_configs:- targets: ['xx.xx.xx.22:9099'] #k8s-kube-state-metrics的接口url
metric_relabel_configs:
- target_label: clusterreplacement: kubernetes

 修改之后重启: prometheus。

 导入下载的模版

 

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浏览器导入上面的json文件，然后操作如下图： 

 

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