Prometheus监控tomact
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64
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0
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K8S,linux

742 字
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22 分钟

[root@node1 ~]# ls

anaconda-ks.cfg      calico.tar.gz         node-exporter.tar.gz     prometheus-cfg.yaml

busybox-1-28.tar.gz  grafana_8.4.5.tar.gz  prometheus-2-2-1.tar.gz

[root@node1 ~]# ctr -n k8s.io images import grafana_8.4.5.tar.gz node1\node2导入grafana的镜像文件

unpacking docker.io/grafana/grafana:8.4.5 (sha256:b862eb2a74c35f1dedea901ec93f8303f8ea6f1125b5005ff719912ae31267b8)…done

[root@node1 ~]#

[root@node2 ~]# ctr -n k8s.io images import grafana_8.4.5.tar.gz
unpacking docker.io/grafana/grafana:8.4.5 (sha256:b862eb2a74c35f1dedea901ec93f8303f8ea6f1125b5005ff719912ae31267b8)...done
[root@node2 ~]#
[root@master1 prometheus-k8s]# vim grafana.yaml		编辑grafana配置文件
 17     spec:
 18       nodeName: node1		添加节点名称为node1和node2
 19       nodeName: node2
 apiVersion: apps/v1
kind: Deployment
metadata:
  name: monitoring-grafana
  namespace: kube-system
spec:
  replicas: 1
  selector:
    matchLabels:
      task: monitoring
      k8s-app: grafana
  template:
    metadata:
      labels:
        task: monitoring
        k8s-app: grafana
    spec:
      nodeName: xianchaonode1
      containers:
      - name: grafana
        image: grafana/grafana:8.4.5
        imagePullPolicy: IfNotPresent
        ports:
        - containerPort: 3000
          protocol: TCP
        volumeMounts:
        - mountPath: /etc/ssl/certs
          name: ca-certificates
          readOnly: true
        - mountPath: /var
          name: grafana-storage
        - mountPath: /var/lib/grafana/
          name: lib
        env:
        - name: INFLUXDB_HOST
          value: monitoring-influxdb
        - name: GF_SERVER_HTTP_PORT
          value: "3000"
          # The following env variables are required to make Grafana accessible via
          # the kubernetes api-server proxy. On production clusters, we recommend
          # removing these env variables, setup auth for grafana, and expose the grafana
          # service using a LoadBalancer or a public IP.
        - name: GF_AUTH_BASIC_ENABLED
          value: "false"
        - name: GF_AUTH_ANONYMOUS_ENABLED
          value: "true"
        - name: GF_AUTH_ANONYMOUS_ORG_ROLE
          value: Admin
        - name: GF_SERVER_ROOT_URL
          # If you're only using the API Server proxy, set this value instead:
          # value: /api/v1/namespaces/kube-system/services/monitoring-grafana/proxy
          value: /
      volumes:
      - name: ca-certificates
        hostPath:
          path: /etc/ssl/certs
      - name: grafana-storage
        emptyDir: {}
      - name: lib
        hostPath:
         path: /var/lib/grafana/
         type: DirectoryOrCreate
---
apiVersion: v1
kind: Service
metadata:
  labels:
    # For use as a Cluster add-on (https://github.com/kubernetes/kubernetes/tree/master/cluster/addons)
    # If you are NOT using this as an addon, you should comment out this line.
    kubernetes.io/cluster-service: 'true'
    kubernetes.io/name: monitoring-grafana
  name: monitoring-grafana
  namespace: kube-system
spec:
  # In a production setup, we recommend accessing Grafana through an external Loadbalancer
  # or through a public IP.
  # type: LoadBalancer
  # You could also use NodePort to expose the service at a randomly-generated port
  # type: NodePort
  ports:
  - port: 80
    targetPort: 3000
  selector:
    k8s-app: grafana
  type: NodePort
[root@node1 ~]# mkdir -p /var/lib/grafana		在node1、node2节点创建grafana的目录
[root@node1 ~]#
[root@node1 ~]# chmod 777 /var/lib/grafana	给grafana添加777权限
[root@node1 ~]#
[root@node2 ~]#  mkdir -p /var/lib/grafana	
[root@node2 ~]#
[root@node2 ~]#
[root@node2 ~]# chmod 777 /var/lib/grafana
[root@node2 ~]#
[root@master1 prometheus-k8s]# kubectl apply -f grafana.yaml		应用grafana的配置文件
deployment.apps/monitoring-grafana created
service/monitoring-grafana created
[root@master1 prometheus-k8s]# kubectl get pods -n kube-system | grep monitor		查看grafana的pod信息
monitoring-grafana-5b6798596c-lw25h        1/1     Running   0              22s
[root@master1 prometheus-k8s]#
[root@master1 prometheus-k8s]# kubectl get svc -n kube-system | grep grafana
monitoring-grafana   NodePort    10.107.63.241   <none>        80:32424/TCP             4m37s
[root@master1 prometheus-k8s]#

一、实验环境：

三台机器，server 180(master)、server 183、server 184（node1、node2）

[root@master1 ~]# kubectl create ns monitor-sa 创建监控命名空间monitor-sa
namespace/monitor-sa created
[root@master1 \node1\node2~]# ctr -n k8s.io images import node-exporter.tar.gz	#master1 \node1\node2将容器镜像导入到 Kubernetes 使用的容器运行时环境中
unpacking docker.io/prom/node-exporter:v0.965eabe03865ab1595705f4f847009)...done
[root@master1 ~]#
[root@master1 ~]# mkdir prometheus-k8s		#master1创建普罗米修斯目录
[root@master1 ~]#
[root@master1 prometheus-k8s]# cd
[root@master1 ~]# ls
anaconda-ks.cfg  calico.yaml   node_exporter-1.5.0.linux-amd64.tar.gz  node-export.yaml
calico.tar.gz    kubeadm.yaml  node-exporter.tar.gz                    prometheus-k8s
[root@master1 ~]# cd prometheus-k8s/
[root@master1 prometheus-k8s]# cp /root/node-export.yaml .		上传节点的配置文件到prometheus-k8s目录下
[root@master1 prometheus-k8s]# ls
node-export.yaml
[root@master1 prometheus-k8s]# kubectl apply -f node-export.yaml		应用节点的配置文件
daemonset.apps/node-exporter created
[root@master1 prometheus-k8s]# kubectl get pods -n monitor-sa	查看监控命名空间的pod信息
NAME                  READY   STATUS    RESTARTS   AGE
node-exporter-g49bj   1/1     Running   0          22s
node-exporter-hffgm   1/1     Running   0          22s
node-exporter-xflj5   1/1     Running   0          22s
[root@master1 prometheus-k8s]#
[root@master1 prometheus-k8s]# kubectl get pods -n monitor-sa -o wide		查看监控命名空间的pod详细信息
NAME                  READY   STATUS    RESTARTS   AGE   IP              NODE      NOMINATED NODE   READINESS GATES
node-exporter-g49bj   1/1     Running   0          44s   192.168.7.180   master1   <none>           <none>
node-exporter-hffgm   1/1     Running   0          44s   192.168.7.183   node1     <none>           <none>
node-exporter-xflj5   1/1     Running   0          44s   192.168.7.184   node2     <none>           <none>
[root@master1 prometheus-k8s]#
[root@master1 prometheus-k8s]# netstat -tunlp | grep :9100		查看node节点端口号
tcp6       0      0 :::9100                 :::*                    LISTEN      25942/node_exporter		如果有25942 代表node节点起来了
[root@master1 prometheus-k8s]# curl http://192.168.7.180:9100/metircs	字符界面访问node节点的度量值
<html>
                        <head><title>Node Exporter</title></head>
                        <body>
                        <h1>Node Exporter</h1>
                        <p><a href="/metrics">Metrics</a></p>
                        </body>
                        </html>[root@master1 prometheus-k8s]#
[root@master1 prometheus-k8s]# kubectl create serviceaccount monitor -n monitor-sa		在监控空间创建sa（服务）的账号
serviceaccount/monitor created
[root@master1 prometheus-k8s]# kubectl create clusterrolebinding monitor-clusterrolebindi                                                                              ng -n monitor-sa --clusterrole=cluster-admin --serviceaccount=monitor-sa:monitor
clusterrolebinding.rbac.authorization.k8s.io/monitor-clusterrolebinding created		将监控命名空间的sa账号通过clusterrolebinding绑定到集群角色中
[root@master1 prometheus-k8s]#
[root@node1 ~]# mkdir /data		在Node1\node2节点创建数据存储目录/data
[root@node1 ~]# chmod 777 /data		将data目录添加777权限
[root@node1 ~]#
[root@node2 ~]# mkdir /data		
[root@node2 ~]#  chmod 777 /data
[root@node2 ~]#

master节点上传Prometheus-cfgl普罗米修斯存储卷（主要用来存放配置文件）的配置文件

[root@master1 /]# cd
[root@master1 ~]# cd prometheus-k8s/
[root@master1 prometheus-k8s]# cp /root/prometheus-cfg.yaml .
[root@master1 prometheus-k8s]# ls
node-export.yaml  prometheus-cfg.yaml
[root@master1 prometheus-k8s]#
[root@master1 prometheus-k8s]# kubectl apply -f prometheus-cfg.yaml		应用普罗米修斯存储卷的配置文件（主要用来存放配置文件）
configmap/prometheus-config created
[root@master1 prometheus-k8s]# kubectl get cm -n monitor-sa		查看监控命名空间，用来获取监控命名空间下的ConfigMap资源
NAME                DATA   AGE
kube-root-ca.crt    1      53m
prometheus-config   1      20s
[root@master1 prometheus-k8s]#

Node1\node2上传prometheus-2.2.1.tar（普罗米修斯的镜像文件）

[root@node1 ~]# ls
anaconda-ks.cfg      calico.tar.gz         prometheus-2-2-1.tar.gz
busybox-1-28.tar.gz  node-exporter.tar.gz  prometheus-cfg.yaml
[root@node1 ~]# ctr -n k8s.io images import prometheus-2-2-1.tar.gz		node1\node2节点导入普罗米修斯的镜像文件
unpacking docker.io/prom/prometheus:v2.2.1 (sha256:9b21b0369c9816ebd0bb41237def3de7e28c36cdc7a3e35e877c6475ef982d4a)...done
[root@node1 ~]#
[root@node1 ~]#
[root@node2 ~]# ctr -n k8s.io images import prometheus-2-2-1.tar.gz
unpacking docker.io/prom/prometheus:v2.2.1 (sha256:9b21b0369c9816ebd0bb41237def3de7e28c36cdc7a3e35e877c6475ef982d4a)...done
[root@node2 ~]#
[root@master1 ~]# ls
anaconda-ks.cfg  node_exporter-1.5.0.linux-amd64.tar.gz  prometheus-deploy.yaml
calico.tar.gz    node-exporter.tar.gz                    prometheus-k8s
calico.yaml      node-export.yaml
kubeadm.yaml     prometheus-cfg.yaml
[root@master1 ~]# cd prometheus-k8s/
[root@master1 prometheus-k8s]# cp /root/prometheus-deploy.yaml .	将Prometheus的配置部署文件放到prometheus-k8s目录下
[root@master1 prometheus-k8s]#
[root@master1 prometheus-k8s]# vim prometheus-deploy.yaml		编辑普罗米修斯无状态的配置文件
25     spec:
 26       nodeName: node1	添加node1\node2节点信息（有多少节点添加多少个节点名称，需注意对齐）
 27       nodeName: node2
[root@master1 prometheus-k8s]# kubectl apply -f prometheus-deploy.yaml		应用普罗米修斯无状态的配置文件
deployment.apps/prometheus-server created
[root@master1 prometheus-k8s]# kubectl get pods -n monitor-sa		查看监控命名空间的pod信息
NAME                                 READY   STATUS    RESTARTS   AGE
node-exporter-g49bj                  1/1     Running   0          56m
node-exporter-hffgm                  1/1     Running   0          56m
node-exporter-xflj5                  1/1     Running   0          56m
prometheus-server-6fc5b6f457-sp48r 看这个  1/1     Running   0          16s
[root@master1 prometheus-k8s]#
[root@master1 prometheus-k8s]# vim prometheus-svc.yaml	创建普罗米修斯服务的配置文件
apiVersion: v1	api版本为1
kind: Service	类型：服务
metadata:	元数据
  name: prometheus	名称为：普罗米修斯
  namespace: monitor-sa	命名空间：监控monitor-sa
  labels:		卷标的名称为：普罗米修斯
    app: prometheus		
spec:
  type: NodePort		类型为：nodeport
  ports:
    - port: 9090		源端口：9090
      targetPort: 9090	目标端口：9090
      protocol: TCP	协议：tcp协议
  selector:			调度器
    app: prometheus	使用：普罗米修斯
    component: server	组成部分为：服务器
~
[root@master1 prometheus-k8s]#
[root@master1 prometheus-k8s]# kubectl apply -f prometheus-svc.yaml		应用普罗米修斯svc服务的配置文件
service/prometheus created
[root@master1 prometheus-k8s]# kubectl get svc -n monitor-sa		监控命名空间的svc服务
NAME         TYPE       CLUSTER-IP       EXTERNAL-IP   PORT(S)          AGE
prometheus   NodePort   10.110.208.180   <none>        9090:31087/TCP   15s
[root@master1 prometheus-k8s]#
[root@master1 prometheus-k8s]# kubectl get pods -n kube-system -o wide
NAME                                       READY   STATUS    RESTARTS      AGE   IP              NODE      NOMINATED NODE   READINESS GATES
calico-kube-controllers-7dc5458bc6-5jztl   1/1     Running   2 (89m ago)   11d   10.244.137.72   master1   <none>           <none>
calico-node-clzfg                          1/1     Running   2 (89m ago)   11d   192.168.7.183   node1     <none>           <none>
calico-node-kbqjt                          1/1     Running   2 (89m ago)   11d   192.168.7.180   master1   <none>           <none>
calico-node-ng6b2                          1/1     Running   2 (89m ago)   11d   192.168.7.184   node2     <none>           <none>
coredns-7c445c467-kff9r                    1/1     Running   2 (89m ago)   11d   10.244.137.71   master1   <none>           <none>
coredns-7c445c467-mmcg7                    1/1     Running   2 (89m ago)   11d   10.244.137.73   master1   <none>           <none>
etcd-master1                               1/1     Running   2 (89m ago)   11d   192.168.7.180   master1   <none>           <none>
kube-apiserver-master1                     1/1     Running   2 (89m ago)   11d   192.168.7.180   master1   <none>           <none>
kube-controller-manager-master1            1/1     Running   2 (89m ago)   11d   192.168.7.180   master1   <none>           <none>
kube-proxy-6kdb8                           1/1     Running   2 (89m ago)   11d   192.168.7.180   master1   <none>           <none>
kube-proxy-gq9js                           1/1     Running   2 (89m ago)   11d   192.168.7.184   node2     <none>           <none>
kube-proxy-vjm2p                           1/1     Running   2 (89m ago)   11d   192.168.7.183   node1     <none>           <none>
kube-scheduler-master1                     1/1     Running   2 (89m ago)   11d   192.168.7.180   master1   <none>           <none>
[root@master1 prometheus-k8s]#
[root@master1 prometheus-k8s]#

node1\node2上传grafana8.45.tar

二、在master1节点上安装docker

[root@master1 ~]# yum install -y yum-utils device-mapper-persistent-data lvm2		【安装docker插件】
Rocky Linux 9 - BaseOS                                               1.0 kB/s | 4.1 kB     00:04
Rocky Linux 9 - BaseOS                                               141 kB/s | 2.5 MB     00:17
Rocky Linux 9 - AppStream                                            706  B/s | 4.5 kB     00:06
[root@master1 ~]# yum config-manager --add-repo=https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo		【下载阿里云的docker数据源】
Adding repo from: https://mirrors.aliyun.com/docker-ce/linux/centos/docker-ce.repo
[root@master1 ~]#
[root@master1 ~]# dnf -y install docker-ce	【安装docker】
Docker CE Stable - x86_64                                            1.8 kB/s | 3.5 kB     00:01
Dependencies resolved.
[root@master1 ~]# systemctl enable --now docker	【启动docker并设置开机启动】
Created symlink /etc/systemd/system/multi-user.target.wants/docker.service → /usr/lib/systemd/system/docker.service.
[root@master1 ~]# vim /etc/docker/daemon.json	【创建docker镜像源的配置文件】
{
    "registry-mirrors":[
        "https://mirror.baidubce.com",
        "https://9cpn8tt6.mirror.aliyuncs.com",
        "https://registry.docker-cn.com",
        "https://dockerproxy.com",
        "https://mirror.baidubce.com",
        "https://docker.m.daocloud.io",
        "https://docker.nju.edu.cn",
        "https://docker.1panel.live",
        "https://hub.rat.dev",
        "https://mirror-gcr.onrender.com",
        "https://docker.mirrors.sjtug.sjtu.edu.cn",
        "https://docker.mirrors.ustc.edu.cn",
        "https://reg-mirror.qiniu.com",
        "https://registry.docker-cn.com"
    ]
}
[root@master1 ~]# systemctl restart docker		【重启docker】
[root@master1 ~]#

kube-state-metrics_1_9_0.tar 上传至node1\node2节点上

[root@node1 ~]# ctr -n k8s.io images import kube-state-metrics_1_9_0.tar.gz		node1、node2导入kube-state-metrics的镜像
unpacking quay.io/coreos/kube-state-metrics:v1.9.0 (sha256:bf40aa1452dcefe34680c595995af1f4a72b7a480b3597fe863a3a5c4e8dde42)...done
[root@node1 ~]#
[root@node2 ~]# ctr -n k8s.io images import kube-state-metrics_1_9_0.tar.gz		node1、node2导入kube-state-metrics的镜像
unpacking quay.io/coreos/kube-state-metrics:v1.9.0 (sha256:bf40aa1452dcefe34680c595995af1f4a72b7a480b3597fe863a3a5c4e8dde42)...done
[root@node2 ~]#
[root@master1 prometheus-k8s]# ls
grafana.yaml                  node-export.yaml     prometheus-deploy.yaml
kube-state-metrics-rbac.yaml  prometheus-cfg.yaml  prometheus-svc.yaml
[root@master1 prometheus-k8s]#
[root@master1 prometheus-k8s]# kubectl apply -f kube-state-metrics-rbac.yaml		#应用kube-state-metrics-rbac配置文件
#kube-state-metrics-rbac 配置文件的目的：创建sa，并对sa进行授权
serviceaccount/kube-state-metrics created
clusterrole.rbac.authorization.k8s.io/kube-state-metrics created
clusterrolebinding.rbac.authorization.k8s.io/kube-state-metrics created

[root@master1 prometheus-k8s]# ls
grafana.yaml  kube-state-metrics-deploy.yaml 看这个  kube-state-metrics-rbac.yaml  node-export.yaml  prometheus-cfg.yaml  prometheus-deploy.yaml  prometheus-svc.yaml
[root@master1 prometheus-k8s]# 
[root@master1 prometheus-k8s]# kubectl apply -f kube-state-metrics-deploy.yaml		应用kube-state-metrics无状态的配置文件
deployment.apps/kube-state-metrics created
[root@master1 prometheus-k8s]#
[root@master1 prometheus-k8s]# kubectl get pods -n kube-system -l app=kube-state-metrics查看kube-state-metrics pod信息                                                                       NAME                                  READY   STATUS    RESTARTS   AGE
kube-state-metrics-66b85747b7-f6c95   1/1     Running   0          2m22s
[root@master1 prometheus-k8s]#
[root@master1 prometheus-k8s]# kubectl apply -f kube-state-metrics-svc.yaml  应用kube-state-metrics服务的配置文件
service/kube-state-metrics created
[root@master1 prometheus-k8s]#
[root@master1 prometheus-k8s]# kubectl get pods -n kube-system -l app=kube-state-metrics	查看kube-state-metrics的pod
NAME                                  READY   STATUS    RESTARTS   AGE
kube-state-metrics-66b85747b7-kxnn4   1/1     Running   0          8m54s  
[root@master1 prometheus-k8s]# kubectl get svc -n kube-system -l app=kube-state-met                                                                             rics		查看kube-state-metrics的服务
NAME                 TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)    AGE
kube-state-metrics   ClusterIP   10.110.158.228   <none>        8080/TCP   74s
[root@master1 prometheus-k8s]#

Prometheus和grafana配置完成

二、上传tomcat镜像文件到/root目录下

[root@master1 ~]# ls
anaconda-ks.cfg  kube-state-metrics-rbac.yaml            prometheus-deploy.yaml
calico.tar.gz    node_exporter-1.5.0.linux-amd64.tar.gz  prometheus-k8s
calico.yaml      node-exporter.tar.gz                    tomcat_image  看这个
grafana.yaml     node-export.yaml                        tomcat-service.yaml
kubeadm.yaml     prometheus-cfg.yaml                     tomcat.tar
[root@master1 ~]# ctr -n k8s.io images import tomcat.tar		【导入tomcat的镜像文件】
unpacking docker.io/library/tomcat:8.5-jdk8-corretto (sha256:e6adebed2b21806e00be62aaec12d666fcfc5dfc8fd6ad42182da57c5a2bdc91)...done
[root@master1 ~]# cd tomcat_image/【进入tomcat的镜像目录】

三、导入Dockefile文件及创建Dockerfile文件

创建tomact_image目录、将Dockerfile文件上传至tomact_image目录下

[root@master1 tomcat_image]# vim Dockerfile		【创建Dockerfile文件】

docker使用dockerfile创建tomcat_prometheus的镜像

[root@master1 tomcat_image]# docker build -t=tomcat_prometheus:v1 .		【docker使用dockerfile创建tomcat_prometheus的镜像】
[+] Building 59.1s (1/2)                                                             docker:default
 => [internal] load build definition from Dockerfile                                           0.0s
 => => transferring dockerfile: 395B                                                           0.0s
 => [internal] load metadata for docker.io/library/tomcat:8.5-jdk8-corretto                   59.1s
[root@master1 tomcat_image]# cd
[root@master1 ~]# docker images		【查看docker镜像】
REPOSITORY          TAG       IMAGE ID       CREATED          SIZE
tomcat_prometheus   v1        78cb0081dde3   50 seconds ago   382MB
[root@master1 ~]# docker save -o p_t.tar tomcat_prometheus:v1		【将tomcat_prometheus镜像保存到本地】

四、在master1上，将tomcat_prometheus镜像保存文件远程复制到node1\ode2的root目录下

[root@master1 ~]# scp p_t.tar 192.168.7.183:/root					【将tomcat_prometheus镜像保存文件远程复制到183/184root目录下】
The authenticity of host '192.168.7.183 (192.168.7.183)' can't be established.
ED25519 key fingerprint is SHA256:zB5i7494g345upt8+lDCavhMxfvjaDe/X3Z+e+xK74g.
This host key is known by the following other names/addresses:
    ~/.ssh/known_hosts:10: node1
Are you sure you want to continue connecting (yes/no/[fingerprint])? yes
Warning: Permanently added '192.168.7.183' (ED25519) to the list of known hosts.
p_t.tar                                                           100%  372MB 194.1MB/s   00:01
[root@master1 ~]# scp p_t.tar 192.168.7.184:/root	【将tomcat_prometheus镜像保存文件远程复制到183/184root目录下】
The authenticity of host '192.168.7.184 (192.168.7.184)' can't be established.
ED25519 key fingerprint is SHA256:khjoIzZZsh71bZ1a4vW4wvxh7a0TKmu6CCNY9Go6rWI.
This host key is known by the following other names/addresses:
    ~/.ssh/known_hosts:13: node2
Are you sure you want to continue connecting (yes/no/[fingerprint])? yes
Warning: Permanently added '192.168.7.184' (ED25519) to the list of known hosts.
p_t.tar                                                           100%  372MB 218.3MB/s   00:01
[root@master1 ~]#

五、node1\node2(7.183、7.184虚拟机)导入运行p_t.tar镜像

[root@node1 ~]# ls
anaconda-ks.cfg      grafana_8.4.5.tar.gz             prometheus-2-2-1.tar.gz
busybox-1-28.tar.gz  kube-state-metrics_1_9_0.tar.gz  prometheus-cfg.yaml
calico.tar.gz        node-exporter.tar.gz             p_t.tar  上传后，ls看这个
[root@node1 ~]# ctr -n k8s.io images import p_t.tar		导入运行p_t.tar镜像
unpacking docker.io/library/tomcat_prometheus:v1 (sha256:9e2677360aa41254308ec07157a4a57d513ff7989dac211072e9cc5f07cd9c83)...done
[root@node1 ~]#
[root@node2 ~]# ls
anaconda-ks.cfg      grafana_8.4.5.tar.gz             prometheus-2-2-1.tar.gz
busybox-1-28.tar.gz  kube-state-metrics_1_9_0.tar.gz  prometheus-cfg.yaml
calico.tar.gz        node-exporter.tar.gz             p_t.tar  上传后，ls看这个
[root@node2 ~]# ctr -n k8s.io images import p_t.tar
unpacking docker.io/library/tomcat_prometheus:v1 (sha256:9e2677360aa41254308ec07157a4a57d513ff7989dac211072e9cc5f07cd9c83)...done
[root@node2 ~]#

六、master1上创建无状态配置文件

[root@master1 ~]# vim deploy.yaml	【创建无状态服务的配置文件】	无状态服务的作用是将应用发布到网络上，为别人访问自己
apiVersion: apps/v1	【api的版本v1】
kind: Deployment		【类型：无状态部署服务】
metadata:			【源数据】
  name: tomcat-deployment		【名称为：tomcat-deployment】
  namespace: default		【名称空间为：（默认）】
spec:				【定义资源对象】
  selector:			【调度器】
    matchLabels:		【关联卷标】
      app: tomcat		【名称为：tomcat】
  replicas: 2			【副本数为2】# tells deployment to run 2 pods matching the template
  template:			【模板】# create pods using pod definition in this template
    metadata:		【源数据】
      labels:			【卷标】
        app: tomcat	【名称为：tomcat】
      annotations:	【注释】	
        prometheus.io/scrape: 'true'		【用于指示prometheus对相关目标进行指标抓取】
    spec:			【定义资源对象】
      containers:		【容器】
      - name: tomcat	【名称是：tomcat】
        image: tomcat_prometheus:v1		【竟像是：tomcat_prometheus:v1】
        ports:		【端口】
        - containerPort: 8080	【容器端口号：8080】
        securityContext:		【安全上下文】
          privileged: true		【开启授权】
[root@master1 ~]# kubectl apply -f deploy.yaml		
deployment.apps/tomcat-deployment created

七、网络上测试访问，监控是否搭建好，是否能监控tomcat

Prometheus 监控tomact
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