组件说明：
1.MetricServer：是kubernetes集群资源使用情况的聚合器，收集数据给kubernetes集群内使用，如kubectl，hpa，scheduler等
2.prometheusOperator:是一个系统监测和警报工具箱，用来存储监控数据。
3.NodeExporter：用于各Node的关键度量指标状态数据
4.KubeStateMetrics:收集kubernetes集群内资源对象数据，制定告警规则
5.Prometheus:采集pull方式收集apiserver,scheduler,controller-manager,kubelet组件数据，通过Http协议传输
6.Grafana:是可视化数据统计和监控平台。
[root@k8s-master01 ~]# mkdir prometheus [root@k8s-master01 ~]# cd prometheus/ [root@k8s-master01 prometheus]#
Git下项目
[root@k8s-master01 prometheus]# git clone https://github.com/coreos/kube-prometheus.git 正克隆到 'kube-prometheus'... remote: Enumerating objects: 12120, done. remote: Counting objects: 100% (871/871), done. remote: Compressing objects: 100% (319/319), done. remote: Total 12120 (delta 515), reused 731 (delta 461), pack-reused 11249 接收对象中: 100% (12120/12120), 6.13 MiB | 3.02 MiB/s, done. 处理 delta 中: 100% (7480/7480), done.
到yaml文件的模板目录
[root@k8s-master01 prometheus]# cd kube-prometheus/manifests/
[root@k8s-master01 manifests]#
修改 grafana-service.yaml 文件，使用 nodepode 方式访问 grafana：
apiVersion: v1
kind: Service
metadata:
labels:
app.kubernetes.io/component: grafana
app.kubernetes.io/name: grafana
app.kubernetes.io/part-of: kube-prometheus
app.kubernetes.io/version: 7.5.4
name: grafana
namespace: monitoring
spec:
#增加NodePort访问方式
type: NodePort
ports:
- name: http
port: 3000
targetPort: http
#增加端口
nodePort: 30100
selector:
app.kubernetes.io/component: grafana
app.kubernetes.io/name: grafana
app.kubernetes.io/part-of: kube-prometheus
修改prometheus-service.yaml
apiVersion: v1
kind: Service
metadata:
labels:
app.kubernetes.io/component: prometheus
app.kubernetes.io/name: prometheus
app.kubernetes.io/part-of: kube-prometheus
app.kubernetes.io/version: 2.26.0
prometheus: k8s
name: prometheus-k8s
namespace: monitoring
spec:
type: NodePort
ports:
- name: web
port: 9090
targetPort: web
nodePort: 30200
selector:
app: prometheus
app.kubernetes.io/component: prometheus
app.kubernetes.io/name: prometheus
app.kubernetes.io/part-of: kube-prometheus
prometheus: k8s
sessionAffinity: ClientIP
修改alertmanager-service.yaml
apiVersion: v1
kind: Service
metadata:
labels:
alertmanager: main
app.kubernetes.io/component: alert-router
app.kubernetes.io/name: alertmanager
app.kubernetes.io/part-of: kube-prometheus
app.kubernetes.io/version: 0.21.0
name: alertmanager-main
namespace: monitoring
spec:
type: NodePort
ports:
- name: web
port: 9093
targetPort: web
nodePort: 30300
selector:
alertmanager: main
app: alertmanager
app.kubernetes.io/component: alert-router
app.kubernetes.io/name: alertmanager
app.kubernetes.io/part-of: kube-prometheus
sessionAffinity: ClientIP
[root@k8s-master01 manifests]# kubectl apply -f ../manifests/
多执行2遍可能有依赖
[root@k8s-master01 manifests]# kubectl get pod -n monitoring NAME READY STATUS RESTARTS AGE alertmanager-main-0 2/2 Running 0 5m59s alertmanager-main-1 2/2 Running 0 5m43s alertmanager-main-2 2/2 Running 0 5m20s grafana-7dc5f8f9f6-prwwk 1/1 Running 0 6m2s kube-state-metrics-5cbd67455c-ppqbx 4/4 Running 0 5m39s node-exporter-6s9dz 2/2 Running 0 5m57s node-exporter-jgmsz 2/2 Running 0 5m57s node-exporter-swhz5 2/2 Running 0 5m57s prometheus-adapter-668748ddbd-qmtdc 1/1 Running 0 5m53s prometheus-k8s-0 3/3 Running 1 5m48s prometheus-k8s-1 3/3 Running 1 5m48s prometheus-operator-7447bf4dcb-xsb4b 1/1 Running 0 6m17s [root@k8s-master01 manifests]#
top查看下状态
[root@k8s-master01 manifests]# kubectl top node NAME CPU(cores) CPU% MEMORY(bytes) MEMORY% k8s-master01 818m 20% 1741Mi 22% k8s-node01 180m 4% 1174Mi 15% k8s-node02 175m 4% 1196Mi 15%
访问 prometheus
prometheus 对应的 nodeport 端口为 30200，访问http://MasterIP:30200
通过访问http://MasterIP:30200/target可以看到 prometheus 已经成功连接上了 k8s 的 apiserver
访问 grafana
grafana 的端口号是 30100，浏览器访问http://MasterIP:30100用户名密码默认 admin/admin
添加数据源 grafana 默认已经添加了 Prometheus 数据源，grafana 支持多种时序数据源，每种数据源都有各自的查询编辑器
test测试一下
导入一些模板
然后去Home下查下数据
