TKE 1.20.6搭建Kube-Prometheus(prometheus-oprator)

背景：

线上开通了tke1.20.6的集群。嗯腾讯云有个原生的Prometheus的监控，开通了使用了一下。不过我没有怎么玩明白。文档也不全。还是想了下自己手动搭建一个Prometheus-oprator吧！
基本过程基本参照：Kubernetes 1.20.5 安装Prometheus-Oprator。下面讲一下不一样的和需要注意的

过程以及基本注意的：

1.前提重复操作

1.1-1.4操作基本保留都没有问题！

2. 添加 kubeControllerManager kubeScheduler监控

访问了一下Prometheus页面和前几个版本一样依然木有kube-scheduler 和 kube-controller-manager 的监控。但是没有搞明白 为什么kube-apiserver只有两个呢？两个apiserver 169开头的ip方式也有些让我诧异......

先再master节点执行了下netstat命令发现tke原生监控的都是ipv6的地址不是127.0.0.1的，我也就忽略了修改control-manager和scheduler配置文件了！

netstat -ntlp

这里没有修改kube-controller-manager.yaml kube-scheduler.yaml的配置文件，顺便看了一眼/etc/kubernetes/manifests目录，what？还有cilium的包？ tke 1.20.6是不是也是用了cilium?

部署一下control-manager和scheduler的service服务：

cat < kube-controller-manager-scheduler.yml
apiVersion: v1
kind: Service
metadata:
  namespace: kube-system
  name: kube-controller-manager
  labels:
    app.kubernetes.io/name: kube-controller-manager
spec:
  selector:
    component: kube-controller-manager
  type: ClusterIP
  clusterIP: None
  ports:
  - name: https-metrics
    port: 10257
    targetPort: 10257
    protocol: TCP
---
apiVersion: v1
kind: Service
metadata:
  namespace: kube-system
  name: kube-scheduler
  labels:
    app.kubernetes.io/name: kube-scheduler
spec:
  selector:
    component: kube-scheduler
  type: ClusterIP
  clusterIP: None
  ports:
  - name: https-metrics
    port: 10259
    targetPort: 10259
    protocol: TCP
EOF
 kubectl apply -f kube-controller-manager-scheduler.yml

kubectl get svc -n kube-system

开启一下endpoints:

cat < kube-ep.yml
apiVersion: v1
kind: Endpoints
metadata:
  labels:
    k8s-app: kube-controller-manager
  name: kube-controller-manager
  namespace: kube-system
subsets:
- addresses:
  - ip: 10.0.4.25
  - ip: 10.0.4.24
  - ip: 10.0.4.38
  ports:
  - name: https-metrics
    port: 10257
    protocol: TCP
---
apiVersion: v1
kind: Endpoints
metadata:
  labels:
    k8s-app: kube-scheduler
  name: kube-scheduler
  namespace: kube-system
subsets:
- addresses:
  - ip: 10.0.4.25
  - ip: 10.0.4.24
  - ip: 10.0.4.38
  ports:
  - name: https-metrics
    port: 10259
    protocol: TCP
EOF
 kubectl apply -f kube-ep.yml

kubectl get ep -n kube-system

登陆Prometheus验证：

why?control-manager都起来了 kube-schedulerj监控状态都是是down啊？
开始排查一下：
在manifests目录下（这一步一点要仔细看下新版的matchLabels发生了改变）

grep -A2 -B2  selector kubernetes-serviceMonitor*

看一眼kube-system下pod的标签：

kubectl get pods -n kube-system --show-labels

不知道为什么，tke kubernetes基本组件的labels都没有？特意看了一眼我自己搭建的集群，以scheduler为例：

kubectl get pods -n kube-schduler-k8s-master-01 -n kube-system --show-labels

​

特别想知道都喊云原生，标签这些东西能不能保持一下？否则让一般小白用户拍错真的是很难！标签没有我是不是可以手动添加一下?

kubectl label pod  kube-scheduler-ap-shanghai-k8s-master-1 kube-scheduler-ap-shanghai-k8s-master-2 kube-scheduler-ap-shanghai-k8s-master-3 -n kube-system app.kubernetes.io/name=kube-scheduler
kubectl label pod  kube-scheduler-ap-shanghai-k8s-master-1 kube-scheduler-ap-shanghai-k8s-master-2 kube-scheduler-ap-shanghai-k8s-master-3  -n kube-system component=kube-scheduler
kubectl label pod  kube-scheduler-ap-shanghai-k8s-master-1 kube-scheduler-ap-shanghai-k8s-master-2 kube-scheduler-ap-shanghai-k8s-master-3  -n kube-system k8s-app=kube-scheduler

Prometheus页面依然如此：

扎心了！这个时候看到netstat页面：

嗯？ 它默认开启了非安全端口？10251？那我改一下10251试试？（虽然忘了官方从1.17还是哪个版本就默认值开通10259了吧？也不知道tke这里还保留开通这个端口的原因是什么）
重新生成一下scheduler的service endpoint服务：

cat < kube-scheduler.yaml
apiVersion: v1
kind: Service
metadata:
  namespace: kube-system
  name: kube-scheduler
  labels:
    app.kubernetes.io/name: kube-scheduler
spec:
  selector:
    app.kubernetes.io/name: kube-scheduler
  type: ClusterIP
  clusterIP: None
  ports:
  - name: http-metrics
    port: 10251
    targetPort: 10251
    protocol: TCP
---
apiVersion: v1
kind: Endpoints
metadata:
  labels:
    k8s-app: kube-scheduler
  name: kube-scheduler
  namespace: kube-system
subsets:
- addresses:
  - ip: 10.0.4.25
  - ip: 10.0.4.24
  - ip: 10.0.4.38
  ports:
  - name: http-metrics
    port: 10251
    protocol: TCP
---
EOF
kubectl apply -f kube-scheduler.yaml

重新整一下scheduler的serviceMonitorKubeScheduler：

cat < kubernetes-serviceMonitorKubeScheduler.yaml
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  labels:
    app.kubernetes.io/name: kube-scheduler
  name: kube-scheduler
  namespace: monitoring
spec:
  endpoints:
  - bearerTokenFile: /var/run/secrets/kubernetes.io/serviceaccount/token
    interval: 30s
    port: http-metrics
    scheme: http
    tlsConfig:
      insecureSkipVerify: true
  jobLabel: app.kubernetes.io/name
  namespaceSelector:
    matchNames:
    - kube-system
  selector:
    matchLabels:
      app.kubernetes.io/name: kube-scheduler
EOF
kubectl apply -f kubernetes-serviceMonitorKubeScheduler.yaml

算是曲线救国吧....先糊弄过去吧......

3. ECTD的监控

tke的证书跟原生集群的位置名字是不一样的，如下：

root@ap-shanghai-k8s-master-1:/etc/etcd/certs# ls /etc/etcd/certs
etcd-cluster.crt  etcd-node.crt  etcd-node.key
root@ap-shanghai-k8s-master-1:/etc/etcd/certs# kubectl -n monitoring create secret generic etcd-certs --from-file=/etc/etcd/certs/etcd-node.crt --from-file=/etc/etcd/certs/etcd-node.key --from-file=/etc/etcd/certs/etcd-cluster.crt

修改Prometheus-Prometheus.yaml添加secrets

secrets
- etcd-certs

kubectl apply -f prometheus-prometheus.yaml
kubectl exec -it prometheus-k8s-0 /bin/sh -n monitoring
ls /etc/prometheus/secrets/etcd/certs/

cat < kube-ep-etcd.yml
apiVersion: v1
kind: Service
metadata:
  name: etcd-k8s
  namespace: kube-system
  labels:
    k8s-app: etcd
spec:
  type: ClusterIP
  clusterIP: None
  ports:
  - name: etcd
    port: 2379
    protocol: TCP

---
apiVersion: v1
kind: Endpoints
metadata:
  labels:
    k8s-app: etcd
  name: etcd-k8s
  namespace: kube-system
subsets:
- addresses:
  - ip: 10.0.4.25
  - ip: 10.0.4.24
  - ip: 10.0.4.38
  ports:
  - name: etcd
    port: 2379
    protocol: TCP
---
EOF
 kubectl apply -f kube-ep-etcd.yml

cat < prometheus-serviceMonitorEtcd.yaml
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
  name: etcd-k8s
  namespace: monitoring
  labels:
    k8s-app: etcd
spec:
  jobLabel: k8s-app
  endpoints:
  - port: etcd
    interval: 30s
    scheme: https
    tlsConfig:
      caFile: /etc/prometheus/secrets/etcd-certs/etcd-cluster.crt
      certFile: /etc/prometheus/secrets/etcd-certs/etcd-node.crt
      keyFile: /etc/prometheus/secrets/etcd-certs/etcd-node.key
      insecureSkipVerify: true
  selector:
    matchLabels:
      k8s-app: etcd
  namespaceSelector:
    matchNames:
    - kube-system
EOF
 kubectl apply -f prometheus-serviceMonitorEtcd.yaml    

prometheus web验证：

etcd的监控就也算做好了

4. prometheus配置文件修改为正式

1. 添加自动发现配置

网上随便抄 了一个：

cat < prometheus-additional.yaml
- job_name: 'kubernetes-endpoints'
  kubernetes_sd_configs:
  - role: endpoints
  relabel_configs:
  - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scrape]
    action: keep
    regex: true
  - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_scheme]
    action: replace
    target_label: __scheme__
    regex: (https?)
  - source_labels: [__meta_kubernetes_service_annotation_prometheus_io_path]
    action: replace
    target_label: __metrics_path__
    regex: (.+)
  - source_labels: [__address__, __meta_kubernetes_service_annotation_prometheus_io_port]
    action: replace
    target_label: __address__
    regex: ([^:]+)(?::\d+)?;(\d+)
    replacement: $1:$2
  - action: labelmap
    regex: __meta_kubernetes_service_label_(.+)
  - source_labels: [__meta_kubernetes_namespace]
    action: replace
    target_label: kubernetes_namespace
  - source_labels: [__meta_kubernetes_service_name]
    action: replace
    target_label: kubernetes_name
  - source_labels: [__meta_kubernetes_pod_name]
    action: replace
    target_label: kubernetes_pod_name
EOF

注意：cat <后replacement: $1:$2 会变成replacement: : 记得自己手动更改一下！

kubectl create secret generic additional-configs --from-file=prometheus-additional.yaml -n monitoring

2. 增加存储 保留时间 etcd secret

cat < prometheus-prometheus.yaml
apiVersion: monitoring.coreos.com/v1
kind: Prometheus
metadata:
  labels:
    app.kubernetes.io/component: prometheus
    app.kubernetes.io/name: prometheus
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version: 2.28.1
    prometheus: k8s
  name: k8s
  namespace: monitoring
spec:
  alerting:
    alertmanagers:
    - apiVersion: v2
      name: alertmanager-main
      namespace: monitoring
      port: web
  enableFeatures: []
  externalLabels: {}
  image: quay.io/prometheus/prometheus:v2.28.1
  nodeSelector:
    kubernetes.io/os: linux
  podMetadata:
    labels:
      app.kubernetes.io/component: prometheus
      app.kubernetes.io/name: prometheus
      app.kubernetes.io/part-of: kube-prometheus
      app.kubernetes.io/version: 2.28.1
  podMonitorNamespaceSelector: {}
  podMonitorSelector: {}
  probeNamespaceSelector: {}
  probeSelector: {}
  replicas: 2
  resources:
    requests:
      memory: 400Mi
  secrets:
  - etcd-certs
  ruleNamespaceSelector: {}
  ruleSelector:
    matchLabels:
      prometheus: k8s
      role: alert-rules
  securityContext:
    fsGroup: 2000
    runAsNonRoot: true
    runAsUser: 1000
  additionalScrapeConfigs:
     name: additional-configs
     key: prometheus-additional.yaml
  serviceAccountName: prometheus-k8s
  retention: 60d
  serviceMonitorNamespaceSelector: {}
  serviceMonitorSelector: {}
  version: 2.28.1
  storage:
    volumeClaimTemplate:
      spec:
        storageClassName: cbs
        resources:
          requests:
            storage: 50Gi
EOF
 kubectl apply -f prometheus-prometheus.yaml

3. clusterrole还的说一下

kubectl logs -f prometheus-k8s-0 prometheus -n monitoring

依然是clusterrole的问题：

cat < prometheus-prometheus.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  labels:
    app.kubernetes.io/component: prometheus
    app.kubernetes.io/name: prometheus
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version: 2.28.1
  name: prometheus-k8s
rules:
- apiGroups:
  - ""
  resources:
  - nodes
  - services
  - endpoints
  - pods
  - nodes/proxy         
  - nodes/metrics
  verbs:
  - get
  - list
  - watch
- apiGroups:
  - ""
  resources:
  - configmaps
  - nodes/metrics
  verbs:
  - get
- nonResourceURLs:
  - /metrics
  verbs:
  - get
EOF
kubectl apply -f prometheus-prometheus.yaml

5. grafana添加持久化存储

注：其实grafana我都可以不安装的我想用Kubernetes 1.20.5 安装Prometheus-Oprator中搭建的grafana做汇总。而且两个集群是在一个vpc的！总比搭建一个thanos好多了...至于thanos我还要有时间了研究一下。这两个集群规模现在都是十几台这样压力应该还是不大的！

cat < grafana-pv.yaml
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: grafana
  namespace: monitoring
spec:
  storageClassName: cbs
  accessModes:
  - ReadWriteOnce
  resources:
    requests:
      storage: 20Gi
EOF
 kubectl apply -f grafana-pv.yaml

修改manifests目录下grafana-deployment.yaml存储
      volumes:
      - name: grafana-storage
        persistentVolumeClaim:
          claimName: grafana

kubectl apply -f grafana-deployment.yaml

其他部分基本就同Kubernetes 1.20.5 安装Prometheus-Oprator了总算是跑了起来！
嗯 tke集群的domain 默认就是cluster.local所以这个地方是不用修改的！

6. 另外一个集群的grafana添加本集群的Prometheus

使用Kubernetes 1.20.5 安装Prometheus-Oprator中的grafana添加本Prometheus集群的数据源：

测试通过ok！
注：当然了本来内网是通的 我可以不将Prometheus等服务对外的，可以直接修改prometheus-k8s的service？试一下！


验证一下：

kubectl get svc -n monitoring

打开grafana-configration-data sources 修改Prometheus-1配置url，等待验证通过保存：

save保存一下修改后的DataSource！

打开grafana默认kubernetes模板DataSource选项发现有两个数据源了。可以切换并查看相关的监控图表！

看一下tke的kube-system监控：

个人搭建的kubeadm 1.21+cilium集群：

至于监控报警就都跟Kubernetes 1.20.5 安装Prometheus-Oprator一样了。我这里就只是简单的想让grafana添加两个数据源...thanos有时间了再体验一下了！