K8S prometheus operator监控工作原理介绍

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2023-06-18
Kubernetes应用服务质量管理详解
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标签   Kubernetes
目录
  • 1. Prometheus Operator介绍
  • 2. 它如何工作
  • 3. ServiceMonitor
  • 4. helm安装
  • 5. yaml文件安装
  • 5.1 安装
  • 5.2 访问服务
  • 5.3 接入grafana
  • 6. 监控集群外的服务
  • 6.1 exporter安装
  • 6.2 K8S配置
  • 1）官方格式
  • 2) 创建资源
  • 6.3 接入grafana
  • 7 监控集群外的服务-redis
  • 7.1 exporter安装
  • 7.2 K8S配置
  • 7.3 Prometheus检查
  • 7.4 接入grafana
  • 8. 监控集群外的服务-kafka
  • 8.1 安装exporter
  • 8.2 K8S配置
  • 8.3 Prometheus检查
  • 8.4 接入grafana
  • 9. 监控集群外的服务-zookeeper
  • 9.1 安装exporter
  • 9.2 K8S配置
  • 9.3 Prometheus检查
  • 9.4 接入grafana

1. Prometheus Operator介绍

介绍文章：https://www.jb51.net/article/267693.htm

2016年年末，CoreOs引入了Operator 模式，并发布了Prometheus Operator 作为Operator模式的工作示例。Prometheus Operator自动创建和管理Prometheus监控实例。

Prometheus Operator的任务是使得在Kubernetes运行Prometheus仅可能容易，同时保留可配置性以及使Kubernetes配置原生。

Prometheus Operator使我们的生活更容易——部署和维护。




2. 它如何工作

为了理解这个问题，我们首先需要了解Prometheus Operator得工作原理。

Prometheus Operator架构图.

我们成功部署 Prometheus Operator后可以看到一个新的CRDs(Custom Resource Defination):

  • Prometheus，定义一个期望的Prometheus deployment。
  • ServiceMonitor，声明式指定应该如何监控服务组；Operator根据定义自动创建Prometheusscrape配置。
  • Alertmanager，定义期望的Alertmanager deployment。

当服务新版本更新时，将会常见一个新Pod。Prometheus监控k8s API，因此当它检测到这种变化时，它将为这个新服务(pod)创建一组新的配置。

3. ServiceMonitor

Prometheus Operator使用一个CRD，叫做 ServiceMonitor 将配置抽象到目标。

下面是个ServiceMonitor的示例：

apiVersion: monitoring.coreos.com/valpha1
kind: ServiceMonitor
metadata:
  name: frontend
  labels:
    tier: frontend
spec:
  selector:
    matchLabels:
      tier: frontend
  endpoints:
  - port: web            # 指定exporter端口，这里指定的是endpoint的名称
    interval:s        # 刷新间隔时间

这仅仅是定义一组服务应该如何被监控。现在我们需要定义一个包含了该ServiceMonitor的Prometheus实例到其配置：

apiVersion: monitoring.coreos.com/valpha1
kind: Prometheus
metadata:
  name: prometheus-frontend
  labels:
    prometheus: frontend
spec:
  version: v.3.0
  #定义应包括标签为“tier=frontend”的所有ServiceMonitor 到服务器的配置中
  serviceMonitors:
  - selector:
      matchLabels:
        tier: frontend

现在Prometheus将会监控每个带有tier: frontend label的服务。

4. helm安装

先决条件：

  • 部署了Helm

准备好动手操作：

 helm repo add coreos https://s-eu-west-1.amazonaws.com/coreos-charts/stable/
 helm install coreos/prometheus-operator --name prometheus-operator --namespace monitoring

到目前为止，我们已经在我们的集群中安装了Prometheus Operator的TPR。

现在我们来部署Prometheus，Alertmanager和Grafana。

TIP: 当我使用一个庞大的Helm Charts时，我更倾向于创建一个独立的value.yaml文件将包含我所有自定义的变更。这么做使我和同事为后期的变化和修改更容易。

helm install coreos/kube-prometheus --name kube-prometheus   \
       -f my_changes/prometheus.yaml                           \
       -f my_changes/grafana.yaml                              \
       -f my_changes/alertmanager.yaml

检查一切是否运行正常

 kubectl -n monitoring get po
NAME                                                   READY     STATUS    RESTARTS   AGE
alertmanager-kube-prometheus-                         2/2       Running   0          1h
kube-prometheus-exporter-kube-state-dbb4f7c9-tr6rp   2/2       Running   0          1h
kube-prometheus-exporter-node-bqcj                    1/1       Running   0          1h
kube-prometheus-exporter-node-jmcq                    1/1       Running   0          1h
kube-prometheus-exporter-node-qnzsn/1       Running   0          1h
kube-prometheus-exporter-node-vwn8                    1/1       Running   0          1h
kube-prometheus-exporter-node-x                    1/1       Running   0          1h
kube-prometheus-exporter-node-zc                    1/1       Running   0          1h
kube-prometheus-grafana-c96ffc77-tjl6g               2/2       Running   0          1h
prometheus-kube-prometheus-                           2/2       Running   0          1h
prometheus-operator--5vb5q                   1/1       Running   0          1h

访问下Prometheus UI看一下Targets页面：

 kubectl -n monitoring port-forward prometheus-kube-prometheus- 9090
Forwarding from.0.0.1:9090 -> 9090

浏览器展示如下：

5. yaml文件安装

此安装方法本人亲测有效，用到的yaml文件都打包好了。解压之后直接kubectl apply即可用。会自动监控当前集群的所有node节点和pod。只需更改yaml文件中需要用到的镜像。我这里都推到了公司公网harbor仓库。部分镜像已经打成tar包。直接docker load -i即可用。

kube-state.tar.gz
webhook-dingtalk.tar.gz
prometheus-adapter.tar.gz

5.1 安装

#软件包集成了node Exporter alertmanager grafana prometheus ingress 所有服务的配置，只需解压到KS master中。
[root@lecode-ks-master monitor]# ll
total
-rw-r--r-- root root     875 Mar 11  2022 alertmanager-alertmanager.yaml
-rw-r--r-- root root     515 Mar 11  2022 alertmanager-podDisruptionBudget.yaml
-rw-r--r-- root root    4337 Mar 11  2022 alertmanager-prometheusRule.yaml
-rw-r--r-- root root    1483 Mar 14  2022 alertmanager-secret.yaml
-rw-r--r-- root root     301 Mar 11  2022 alertmanager-serviceAccount.yaml
-rw-r--r-- root root     540 Mar 11  2022 alertmanager-serviceMonitor.yaml
-rw-r--r-- root root     614 Mar 11  2022 alertmanager-service.yaml
drwxr-x--- root root    4096 Oct 25 13:49 backsvc #这里是grafana的service配置。nodeport模式。用于外部访问。选择使用
-rw-r--r-- root root     278 Mar 11  2022 blackbox-exporter-clusterRoleBinding.yaml
-rw-r--r-- root root     287 Mar 11  2022 blackbox-exporter-clusterRole.yaml
-rw-r--r-- root root    1392 Mar 11  2022 blackbox-exporter-configuration.yaml
-rw-r--r-- root root    3081 Mar 11  2022 blackbox-exporter-deployment.yaml
-rw-r--r-- root root      96 Mar 11  2022 blackbox-exporter-serviceAccount.yaml
-rw-r--r-- root root     680 Mar 11  2022 blackbox-exporter-serviceMonitor.yaml
-rw-r--r-- root root     540 Mar 11  2022 blackbox-exporter-service.yaml
-rw-r--r-- root root    2521 Oct 25 13:36 dingtalk-dep.yaml
-rw-r--r-- root root     721 Mar 11  2022 grafana-dashboardDatasources.yaml
-rw-r--r-- root root 1448347 Mar 11  2022 grafana-dashboardDefinitions.yaml
-rw-r--r-- root root     625 Mar 11  2022 grafana-dashboardSources.yaml
-rw-r--r-- root root    8098 Mar 11  2022 grafana-deployment.yaml
-rw-r--r-- root root      86 Mar 11  2022 grafana-serviceAccount.yaml
-rw-r--r-- root root     398 Mar 11  2022 grafana-serviceMonitor.yaml
-rw-r--r-- root root     468 Mar 30  2022 grafana-service.yaml
drwxr-xr-x root root    4096 Oct 25 13:32 ingress #这里ingress资源也是可以直接用，可以把Prometheus和grafana服务暴露在外部。
-rw-r--r-- root root    2639 Mar 14  2022 kube-prometheus-prometheusRule.yaml
-rw-r--r-- root root    3380 Mar 14  2022 kube-prometheus-prometheusRule.yamlbak
-rw-r--r-- root root   63531 Mar 11  2022 kubernetes-prometheusRule.yaml
-rw-r--r-- root root    6912 Mar 11  2022 kubernetes-serviceMonitorApiserver.yaml
-rw-r--r-- root root     425 Mar 11  2022 kubernetes-serviceMonitorCoreDNS.yaml
-rw-r--r-- root root    6431 Mar 11  2022 kubernetes-serviceMonitorKubeControllerManager.yaml
-rw-r--r-- root root    7629 Mar 11  2022 kubernetes-serviceMonitorKubelet.yaml
-rw-r--r-- root root     530 Mar 11  2022 kubernetes-serviceMonitorKubeScheduler.yaml
-rw-r--r-- root root     464 Mar 11  2022 kube-state-metrics-clusterRoleBinding.yaml
-rw-r--r-- root root    1712 Mar 11  2022 kube-state-metrics-clusterRole.yaml
-rw-r--r-- root root    2934 Oct 25 13:40 kube-state-metrics-deployment.yaml
-rw-r--r-- root root    3082 Mar 11  2022 kube-state-metrics-prometheusRule.yaml
-rw-r--r-- root root     280 Mar 11  2022 kube-state-metrics-serviceAccount.yaml
-rw-r--r-- root root    1011 Mar 11  2022 kube-state-metrics-serviceMonitor.yaml
-rw-r--r-- root root     580 Mar 11  2022 kube-state-metrics-service.yaml
-rw-r--r-- root root     444 Mar 11  2022 node-exporter-clusterRoleBinding.yaml
-rw-r--r-- root root     461 Mar 11  2022 node-exporter-clusterRole.yaml
-rw-r--r-- root root    3047 Mar 11  2022 node-exporter-daemonset.yaml
-rw-r--r-- root root   14356 Apr 11  2022 node-exporter-prometheusRule.yaml
-rw-r--r-- root root     270 Mar 11  2022 node-exporter-serviceAccount.yaml
-rw-r--r-- root root     850 Mar 11  2022 node-exporter-serviceMonitor.yaml
-rw-r--r-- root root     492 Mar 11  2022 node-exporter-service.yaml
-rw-r--r-- root root     482 Mar 11  2022 prometheus-adapter-apiService.yaml
-rw-r--r-- root root     576 Mar 11  2022 prometheus-adapter-clusterRoleAggregatedMetricsReader.yaml
-rw-r--r-- root root     494 Mar 11  2022 prometheus-adapter-clusterRoleBindingDelegator.yaml
-rw-r--r-- root root     471 Mar 11  2022 prometheus-adapter-clusterRoleBinding.yaml
-rw-r--r-- root root     378 Mar 11  2022 prometheus-adapter-clusterRoleServerResources.yaml
-rw-r--r-- root root     409 Mar 11  2022 prometheus-adapter-clusterRole.yaml
-rw-r--r-- root root    2204 Mar 11  2022 prometheus-adapter-configMap.yaml
-rw-r--r-- root root    2530 Oct 25 13:39 prometheus-adapter-deployment.yaml
-rw-r--r-- root root     506 Mar 11  2022 prometheus-adapter-podDisruptionBudget.yaml
-rw-r--r-- root root     515 Mar 11  2022 prometheus-adapter-roleBindingAuthReader.yaml
-rw-r--r-- root root     287 Mar 11  2022 prometheus-adapter-serviceAccount.yaml
-rw-r--r-- root root     677 Mar 11  2022 prometheus-adapter-serviceMonitor.yaml
-rw-r--r-- root root     501 Mar 11  2022 prometheus-adapter-service.yaml
-rw-r--r-- root root     447 Mar 11  2022 prometheus-clusterRoleBinding.yaml
-rw-r--r-- root root     394 Mar 11  2022 prometheus-clusterRole.yaml
-rw-r--r-- root root    5000 Mar 11  2022 prometheus-operator-prometheusRule.yaml
-rw-r--r-- root root     715 Mar 11  2022 prometheus-operator-serviceMonitor.yaml
-rw-r--r-- root root     499 Mar 11  2022 prometheus-podDisruptionBudget.yaml
-rw-r--r-- root root   14021 Mar 11  2022 prometheus-prometheusRule.yaml
-rw-r--r-- root root    1184 Mar 11  2022 prometheus-prometheus.yaml
-rw-r--r-- root root     471 Mar 11  2022 prometheus-roleBindingConfig.yaml
-rw-r--r-- root root    1547 Mar 11  2022 prometheus-roleBindingSpecificNamespaces.yaml
-rw-r--r-- root root     366 Mar 11  2022 prometheus-roleConfig.yaml
-rw-r--r-- root root    2047 Mar 11  2022 prometheus-roleSpecificNamespaces.yaml
-rw-r--r-- root root     271 Mar 11  2022 prometheus-serviceAccount.yaml
-rw-r--r-- root root     531 Mar 11  2022 prometheus-serviceMonitor.yaml
-rw-r--r-- root root     558 Mar 11  2022 prometheus-service.yaml
drw-r--r-- root root    4096 Oct 24 12:31 setup
#先apply setup目录中的yaml文件。然后apply一级目录下的yaml文件。backsvc中的grafana的service资源清单。根据情况调整为nodeport或ClusterIP。KS集群会自动在每台K8S节点部署node-exporter并收集数据。登录grafana后初始账号密码为admin admin。添加dashboard即可监控K8S集群
[root@lecode-ks-master monitor]# cd setup/
[root@lecode-ks-master setup]#   kubectl apply -f .
[root@lecode-ks-master setup]# cd ..
[root@lecode-ks-master monitor]# kubectl apply -f .
[root@lecode-ks-master monitor]# kubectl get po -n monitoring 
NAME                                   READY   STATUS    RESTARTS   AGE
alertmanager-main-                    2/2     Running   0          74m
alertmanager-main-                    2/2     Running   0          74m
alertmanager-main-                    2/2     Running   0          74m
blackbox-exporter-fb5bb4-d9m7m     3/3     Running   0          74m
grafana-d8465-x7x9z               1/1     Running   0          74m
kube-state-metrics-d89897b-hlqxj    3/3     Running   0          57m
node-exporter-vqxg                    2/2     Running   0          74m
node-exporter-dxh6                    2/2     Running   0          74m
node-exporter-j5xk                    2/2     Running   0          74m
node-exporter-ftrmn/2     Running   0          74m
node-exporter-qszkn/2     Running   0          74m
node-exporter-wjkgj/2     Running   0          74m
prometheus-adapter-dd78c75c6-h2jf7    1/1     Running   0          58m
prometheus-adapter-dd78c75c6-qpwzv    1/1     Running   0          58m
prometheus-ks-0                       2/2     Running   0          74m
prometheus-ks-1                       2/2     Running   0          74m
prometheus-operator-d9b475d9-mmzgs   2/2     Running   0          80m
webhook-dingtalk-ffc94b49-z9z6l       1/1     Running   0          61m
[root@lecode-ks-master backsvc]# kubectl get svc -n monitoring 
NAME                    TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)                      AGE
alertmanager-main       NodePort.98.35.93     <none>        9093:30093/TCP               72m
alertmanager-operated   ClusterIP   None            <none>/TCP,9094/TCP,9094/UDP   72m
blackbox-exporter       ClusterIP.109.10.110   <none>        9115/TCP,19115/TCP           72m
grafana                 NodePort.110.48.214   <none>        3000:30300/TCP               72m
kube-state-metrics      ClusterIP   None            <none>/TCP,9443/TCP            72m
node-exporter           ClusterIP   None            <none>/TCP                     72m
prometheus-adapter      ClusterIP.97.23.176    <none>        443/TCP                      72m
prometheus-ks          ClusterIP   10.100.92.254   <none>        9090/TCP                     72m
prometheus-operated     ClusterIP   None            <none>/TCP                     72m
prometheus-operator     ClusterIP   None            <none>/TCP                     78m
webhook-dingtalk        ClusterIP.100.131.63   <none>        80/TCP                       72m

5.2 访问服务

暴露服务三种方法：用service资源的nodeport模式，或者用k8s的ingress暴露服务或者本地nginx代理。本地的nginx代理模式

这里我grafana用的是nodeport模式。Prometheus用的是nginx代理。

附上nginx配置文件

[root@lecode-ks-master setup]# cat /usr/local/nginx/conf/4-layer-conf.d/lecode-prometheus-operator.conf 
#代理prometheus内置Dashboard UI
upstream prometheus-dashboard {
    server.100.92.254:9090; #这里ip为prometheus-k8s svc资源的ip
}
server {
    listen;
    proxy_pass prometheus-dashboard;
}
#代理grafana
upstream grafana {
    server.1.82.89:3000; #这里ip为grafana svc资源的ip
}
server {
    listen;
    proxy_pass grafana;
}

访问Prometheus targets

5.3 接入grafana

访问grafana（默认密码是admin admin）

去grafana官网下载对应dashboard 地址：https://grafana.com/grafana/dashboards/

6. 监控集群外的服务

6.1 exporter安装

在对应服务的本地安装对应的exporter用于收集数据（这里以mysql为例）

#下载对应服务的exporter  
#插件下载地址：https://www.modb.pro/db/
#插件下载地址：https://prometheus.io/download/
#下载完成后解压mysqld_exporter-.13.0.linux-amd64.tar.gz
#配置mysql-exporter
在root路径下，创建.my.cnf文件。内容如下:
[root@lecode-test- ~]# cat /root/.my.cnf 
[client]
user=mysql_monitor
password=Mysql@
#创建mysql 用户并授权
CREATE USER ‘mysql_monitor'@‘localhost' IDENTIFIED BY ‘Mysql@' WITH MAX_USER_CONNECTIONS 3;
GRANT PROCESS, REPLICATION CLIENT, SELECT ON . TO ‘mysql_monitor'@‘localhost';
FLUSH PRIVILEGES;
EXIT
#启动mysqld_exporter
[root@lecode-test- mysql-exporter]# nohup mysqld_exporter &
#找到对应的端口
[root@lecode-test- mysql-exporter]# tail -f nohup.out 
level=info ts=-10-25T09:26:54.464Z caller=mysqld_exporter.go:277 msg="Starting msqyld_exporter" version="(version=0.13.0, branch=HEAD, revision=ad2847c7fa67b9debafccd5a08bacb12fc9031f1)"
level=info ts=-10-25T09:26:54.464Z caller=mysqld_exporter.go:278 msg="Build context" (gogo1.16.4,userroot@e2043849cb1f,date20210531-07:30:16)=(MISSING)
level=info ts=-10-25T09:26:54.464Z caller=mysqld_exporter.go:293 msg="Scraper enabled" scraper=global_status
level=info ts=-10-25T09:26:54.464Z caller=mysqld_exporter.go:293 msg="Scraper enabled" scraper=global_variables
level=info ts=-10-25T09:26:54.464Z caller=mysqld_exporter.go:293 msg="Scraper enabled" scraper=slave_status
level=info ts=-10-25T09:26:54.464Z caller=mysqld_exporter.go:293 msg="Scraper enabled" scraper=info_schema.innodb_cmp
level=info ts=-10-25T09:26:54.464Z caller=mysqld_exporter.go:293 msg="Scraper enabled" scraper=info_schema.innodb_cmpmem
level=info ts=-10-25T09:26:54.464Z caller=mysqld_exporter.go:293 msg="Scraper enabled" scraper=info_schema.query_response_time
level=info ts=-10-25T09:26:54.464Z caller=mysqld_exporter.go:303 msg="Listening on address" address=:9104 #这是exporter的端口
level=info ts=-10-25T09:26:54.464Z caller=tls_config.go:191 msg="TLS is disabled." http2=false
#检查端口
[root@lecode-test- mysql-exporter]# ss -lntup |grep 9104
tcp    LISTEN      128      :::9104                 :::*                   users:(("mysqld_exporter",pid=26115,fd=3))

6.2 K8S配置

创建endpoint资源关联对应服务主机的exporter端口。绑定service资源，通过ServiceMonitor资源添加Prometheus targets，

1）官方格式

 kubectl -n monitoring get prometheus kube-prometheus -o yaml
apiVersion: monitoring.coreos.com/v
kind: Prometheus
metadata:
  labels:
    app: prometheus
    chart: prometheus-.0.14
    heritage: Tiller
    prometheus: kube-prometheus
    release: kube-prometheus
  name: kube-prometheus
  namespace: monitoring
spec:
  ...
  baseImage: quay.io/prometheus/prometheus
  serviceMonitorSelector:
    matchLabels:
      prometheus: kube-prometheus 
#接下来就是按照格式创建对应的ServiceMonitor资源

通过ep资源把外部服务关联到K8S内部，绑定对应的svc资源。在由serviceMonitor绑定对应的svc资源把数据提交给Prometheus，serviceMonitor通过标签选择器关联service，而service只需要通过端口关联ep，这里的标签和端口一定要注意一致.

2) 创建资源

[root@lecode-ks-master monitor]# cat mysql.yaml 
apiVersion: v
kind: Endpoints
metadata:
  name: mysql-test
  namespace: monitoring
subsets:
- addresses:
  - ip:.168.1.17  # ip为安装应用服务器的ip
  ports:
  - name: mysql
    port: #export的端口
    protocol: TCP
---
apiVersion: v
kind: Service
metadata:
  labels:
    app.kubernetes.io/component: mysql
    app.kubernetes.io/name: mysql
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version:.49.0
  name: mysql-test
  namespace: monitoring
spec:
  clusterIP: None
  clusterIPs:
  - None
  ports:
  - name: mysql
    port:
    protocol: TCP
  sessionAffinity: None
  type: ClusterIP
---
apiVersion: monitoring.coreos.com/v
kind: ServiceMonitor
metadata:
  labels:
    app.kubernetes.io/component: mysql
    app.kubernetes.io/name: mysql
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version:.49.0
  name: mysql-test
  namespace: monitoring
spec:
  endpoints:
  - bearerTokenFile: /var/run/secrets/kubernetes.io/serviceaccount/token
    interval:s
    port: mysql
    tlsConfig:
      insecureSkipVerify: true
  selector:
    matchLabels:
      app.kubernetes.io/component: mysql
      app.kubernetes.io/name: mysql
      app.kubernetes.io/part-of: kube-prometheus
#创建        
[root@lecode-ks-master monitor]# kubectl apply -f mysql.yaml 
endpoints/mysql-test created
service/mysql-test created
servicemonitor.monitoring.coreos.com/mysql-test created
#检查        
[root@lecode-ks-master monitor]# kubectl get -f  mysql.yaml 
NAME                   ENDPOINTS           AGE
endpoints/mysql-test.168.1.17:9104   10m
NAME                 TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)    AGE
service/mysql-test   ClusterIP   None         <none>/TCP   10m
NAME                                              AGE
servicemonitor.monitoring.coreos.com/mysql-testm

6.3 接入grafana

7 监控集群外的服务-redis

7.1 exporter安装

#部署redis-exporter
#插件下载地址：https://www.modb.pro/db/
[root@lecode-test- ~]# tar xf redis_exporter-v1.3.2.linux-amd64.tar.gz 
[root@lecode-test- ~]# ll
drwxr-xr-x root root     4096 Nov  6  2019 redis_exporter-v1.3.2.linux-amd64
-rw-r--r-- root root  3376155 Oct 27 10:26 redis_exporter-v1.3.2.linux-amd64.tar.gz
[root@lecode-test- ~]# mv redis_exporter-v1.3.2.linux-amd64 redis_exporter
[root@lecode-test- ~]# cd redis_exporter
[root@lecode-test- redis_exporter]# ll
total
-rw-r--r-- root root    1063 Nov  6  2019 LICENSE
-rw-r--r-- root root   10284 Nov  6  2019 README.md
-rwxr-xr-x root root 8675328 Nov  6  2019 redis_exporter
[root@lecode-test- redis_exporter]# nohup ./redis_exporter -redis.addr  192.168.1.17:6379  -redis.password  'Redislecodetest@shuli123' & 
[] 4564
[root@lecode-test- redis_exporter]# nohup: ignoring input and appending output to ‘nohup.out’
[root@lecode-test- redis_exporter]# tail -f nohup.out 
time="-10-27T10:26:48+08:00" level=info msg="Redis Metrics Exporter v1.3.2    build date: 2019-11-06-02:25:20    sha1: 175a69f33e8267e0a0ba47caab488db5e83a592e    Go: go1.13.4    GOOS: linux    GOARCH: amd64"
time="-10-27T10:26:48+08:00" level=info msg="Providing metrics at :9121/metrics"
#端口为

7.2 K8S配置

#创建redis-serviceMonitor资源
[root@lecode-ks-master monitor]# cat redis.yaml 
apiVersion: v
kind: Endpoints
metadata:
  name: redis-test
  namespace: monitoring
subsets:
- addresses:
  - ip:.168.1.17 # ip为安装应用服务器的ip
  ports:
  - name: redis
    port: #exporter端口
    protocol: TCP
---
apiVersion: v
kind: Service
metadata:
  labels:
    app.kubernetes.io/component: redis
    app.kubernetes.io/name: redis
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version:.49.0
  name: redis-test
  namespace: monitoring
spec:
  clusterIP: None
  clusterIPs:
  - None
  ports:
  - name: redis
    port:
    protocol: TCP
  sessionAffinity: None
  type: ClusterIP
---
apiVersion: monitoring.coreos.com/v
kind: ServiceMonitor
metadata:
  labels:
    app.kubernetes.io/component: redis
    app.kubernetes.io/name: redis
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version:.49.0
  name: redis-test
  namespace: monitoring
spec:
  endpoints:
  - bearerTokenFile: /var/run/secrets/kubernetes.io/serviceaccount/token
    interval:s
    port: redis
    tlsConfig:
      insecureSkipVerify: true
  selector:
    matchLabels:
      app.kubernetes.io/component: redis
      app.kubernetes.io/name: redis
      app.kubernetes.io/part-of: kube-prometheus
#创建资源
[root@lecode-ks-master monitor]# kubectl apply -f redis.yaml 
endpoints/redis-test created
service/redis-test created
servicemonitor.monitoring.coreos.com/redis-test created
[root@lecode-ks-master monitor]#  kubectl get ep,svc,serviceMonitor -n monitoring  |grep redis
endpoints/redis-test.168.1.17:9121                                                  6m2s
service/redis-test              ClusterIP   None            <none>/TCP                     6m2s
servicemonitor.monitoring.coreos.com/redis-testm2s

7.3 Prometheus检查

7.4 接入grafana

dashboard ID： 11835

8. 监控集群外的服务-kafka

8.1 安装exporter

#插件下载地址：https://www.modb.pro/db/
[root@lecode-test- ~]# tar xf kafka_exporter-1.4.2.linux-amd64.tar.gz 
[root@lecode-test- ~]# ll
drwxrwxr-x 2000 2000     4096 Sep 16  2021 kafka_exporter-1.4.2.linux-amd64
-rw-r--r-- root root  8499720 Oct 27 15:30 kafka_exporter-1.4.2.linux-amd64.tar.gz
[root@lecode-test- ~]# mv kafka_exporter-1.4.2.linux-amd64 kafka_exporter
[root@lecode-test- ~]# cd kafka_exporter
[root@lecode-test- kafka_exporter]# ll
total
-rwxr-xr-x 2000 2000 18086208 Sep 16  2021 kafka_exporter
-rw-rw-r-- 2000 2000    11357 Sep 16  2021 LICENSE
[root@lecode-test- kafka_exporter]# nohup ./kafka_exporter --kafka.server=192.168.1.17:9092 &
[] 20777
[root@lecode-test- kafka_exporter]# nohup: ignoring input and appending output to ‘nohup.out'
[root@lecode-test- kafka_exporter]# tail -f nohup.out 
I 15:32:38.904075   20777 kafka_exporter.go:769] Starting kafka_exporter (version=1.4.2, branch=HEAD, revision=0d5d4ac4ba63948748cc2c53b35ed95c310cd6f2)
I 15:32:38.905515   20777 kafka_exporter.go:929] Listening on HTTP :9308
#exporter端口为

8.2 K8S配置

[root@lecode-ks-master monitor]# cat kafka.yaml 
apiVersion: v
kind: Endpoints
metadata:
  name: kafka-test
  namespace: monitoring
subsets:
- addresses:
  - ip:.168.1.17  # ip为安装应用服务器的ip
  ports:
  - name: kafka
    port: #export的端口
    protocol: TCP
---
apiVersion: v
kind: Service
metadata:
  labels:
    app.kubernetes.io/component: kafka
    app.kubernetes.io/name: kafka
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version:.49.0
  name: kafka-test
  namespace: monitoring
spec:
  clusterIP: None
  clusterIPs:
  - None
  ports:
  - name: kafka
    port:
    protocol: TCP
  sessionAffinity: None
  type: ClusterIP
---
apiVersion: monitoring.coreos.com/v
kind: ServiceMonitor
metadata:
  labels:
    app.kubernetes.io/component: kafka
    app.kubernetes.io/name: kafka
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version:.49.0
  name: kafka-test
  namespace: monitoring
spec:
  endpoints:
  - bearerTokenFile: /var/run/secrets/kubernetes.io/serviceaccount/token
    interval:s
    port: kafka
    tlsConfig:
      insecureSkipVerify: true
  selector:
    matchLabels:
      app.kubernetes.io/component: kafka
      app.kubernetes.io/name: kafka
      app.kubernetes.io/part-of: kube-prometheus
#创建
[root@lecode-ks-master monitor]# kubectl apply -f kafka.yaml 
endpoints/kafka-test created
service/kafka-test created
servicemonitor.monitoring.coreos.com/kafka-test created
[root@lecode-ks-master monitor]# kubectl get -f kafka.yaml 
NAME                   ENDPOINTS           AGE
endpoints/kafka-test.168.1.17:9308   8m49s
NAME                 TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)    AGE
service/kafka-test   ClusterIP   None         <none>/TCP   8m49s
NAME                                              AGE
servicemonitor.monitoring.coreos.com/kafka-testm48s

8.3 Prometheus检查

8.4 接入grafana

dashboard ID：7589

9. 监控集群外的服务-zookeeper

9.1 安装exporter

exporter下载地址：https://github.com/carlpett/zookeeper_exporter/releases/download/v.0.2/zookeeper_exporter
[root@lecode-test- zookeeper_exporter]# nohup ./zookeeper_exporter -zookeeper 192.168.1.17:2181 -bind-addr :9143 &
[] 8310
[root@lecode-test- zookeeper_exporter]# nohup: ignoring input and appending output to ‘nohup.out'
[root@lecode-test- zookeeper_exporter]# tail -f nohup.out 
time="-10-27T15:58:27+08:00" level=info msg="zookeeper_exporter, version v1.0.2 (branch: HEAD, revision: d6e929223f6b3bf5ff25dd0340e8194cbd4d04fc)\n  build user:       @bd731f434d23\n  build date:       2018-05-01T20:40:14+0000\n  go version:       go1.10.1"
time="-10-27T15:58:27+08:00" level=info msg="Starting zookeeper_exporter"
time="-10-27T15:58:27+08:00" level=info msg="Starting metric http endpoint on :9143"
#exporter端口为

9.2 K8S配置

[root@lecode-ks-master monitor]# cat zookeeper.yaml 
apiVersion: v
kind: Endpoints
metadata:
  name: zookeeper-test
  namespace: monitoring
subsets:
- addresses:
  - ip:.168.1.17
  ports:
  - name: zookeeper
    port:
    protocol: TCP
---
apiVersion: v
kind: Service
metadata:
  labels:
    app.kubernetes.io/component: zookeeper
    app.kubernetes.io/name: zookeeper
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version:.49.0
  name: zookeeper-test
  namespace: monitoring
spec:
  clusterIP: None
  clusterIPs:
  - None
  ports:
  - name: zookeeper
    port:
    protocol: TCP
  sessionAffinity: None
  type: ClusterIP
---
apiVersion: monitoring.coreos.com/v
kind: ServiceMonitor
metadata:
  labels:
    app.kubernetes.io/component: zookeeper
    app.kubernetes.io/name: zookeeper
    app.kubernetes.io/part-of: kube-prometheus
    app.kubernetes.io/version:.49.0
  name: zookeeper-test
  namespace: monitoring
spec:
  endpoints:
  - bearerTokenFile: /var/run/secrets/kubernetes.io/serviceaccount/token
    interval:s
    port: zookeeper
    tlsConfig:
      insecureSkipVerify: true
  selector:
    matchLabels:
      app.kubernetes.io/component: zookeeper
      app.kubernetes.io/name: zookeeper
      app.kubernetes.io/part-of: kube-prometheus
#创建
[root@lecode-ks-master monitor]# kubectl apply -f zookeeper.yaml 
endpoints/zookeeper-test created
service/zookeeper-test created
servicemonitor.monitoring.coreos.com/zookeeper-test created
[root@lecode-ks-master monitor]# kubectl get -f  zookeeper.yaml 
NAME                       ENDPOINTS           AGE
endpoints/zookeeper-test.168.1.17:9143   9m55s
NAME                     TYPE        CLUSTER-IP   EXTERNAL-IP   PORT(S)    AGE
service/zookeeper-test   ClusterIP   None         <none>/TCP   9m55s
NAME                                                  AGE
servicemonitor.monitoring.coreos.com/zookeeper-testm55s

9.3 Prometheus检查

9.4 接入grafana

dashboard ID：15026

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