tongredis prometheus监控方案 prometheus监控接口

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mob64ca1409d8ea 2023-11-16 05:22:24

文章标签 nginx redis mysql 文章分类 Redis 数据库

文章目录

监控不携带metrics接口的服务

准备测试环境

1、部署expertor

1）准备目录
2）创建服务
3）部署服务
4）创建Service
5）部署Service
6）查看部署
7）访问测试

2、部署EndPrints
3、部署Service
4、创建ServiceMonitor

1）编写配置清单
2）部署查看
3）测试
4）加入grafana，做大屏展示

监控Redis

1.部署测试环境

1）编写部署清单
2）编写Service清单
3）部署

2.配置部署expertor

1）编写部署清单
2）编写svc清单
3）部署

3.部署EndPrints
4.部署Service
5.创建ServiceMonitor

1）编写配置清单
2）部署

6.grafana展示![在这里插入图片描述](https://s2.51cto.com/images/blog/202311/09083512_654c29401f12438986.png?x-oss-process=image/watermark,size_16,text_QDUxQ1RP5Y2a5a6i,color_FFFFFF,t_30,g_se,x_10,y_10,shadow_20,type_ZmFuZ3poZW5naGVpdGk=)

监控Mysql

1.造环境

1）安装mariadb
2）授权monitor用户

2.安装数据库exporter

1）编写部署清单
2）编写Service清单

3.部署服务

监控exporter

1.造环境

1）下载部署exporter
1）安装mariadb
2）授权monitor用户

2.配置maridb
3.启动mysqld_exporter

监控不携带metrics接口的服务

普罗米修斯的两种监控服务：
1.携带metrics接口的服务
可以通过metrics接口来获取服务的监控项、监控信息
2.不携带metrics接口的服务
通过EndPoint造一个metrict接口
PS：metrics（接口）

监控流程：

1、部署expertor，从而创建一个metrics接口
2、部署EndPrints，链接expertor暴露出来的metrics接口
3、部署Service，基于ServiceMonitor使用
4、创建ServiceMonitor，注入promethues
5、测试服务
6、加入grafana，做大屏展示

准备测试环境

[root@k8s-master1 ~]# cat /etc/nginx/conf.d/status.conf 
server {
	listen 8081;
	location / {
	    stub_status;
	}
	    
}

tongredis prometheus监控方案 prometheus监控接口_nginx

1、部署expertor

部署expertor，从而创建一个metrics接口

1）准备目录

[root@k8s-master1 ~]# mkdir exporter-nginx
[root@k8s-master1 ~]# cd exporter-nginx/
[root@k8s-master1 exporter-nginx]# vim exporter-nginx-deployment.yaml

2）创建服务

创建一个服务，获取并格式化metrics接口数据

cat > exporter-nginx-deployment.yaml <<EOF
kind: Deployment
apiVersion: apps/v1
metadata:
  name: nginx-prometheus-exporter
spec:
  selector:
    matchLabels:
      app: nginx-prometheus-exporter
      deploy: nginx-exporter
  template:
    metadata:
      labels:
        app: nginx-prometheus-exporter
        deploy: nginx-exporter
    spec:
      containers:
        - name: nginx-exporter
          image: nginx/nginx-prometheus-exporter:0.9.0
          imagePullPolicy: IfNotPresent
          command:
            - "nginx-prometheus-exporter"
            - "-nginx.scrape-uri=http://192.168.12.11/status"
EOF

3）部署服务

[root@k8s-master1 exporter-nginx]# kubectl apply -f exporter-nginx-deployment.yaml 
deployment.apps/name-prometheus-exporter created

4）创建Service

给予prometheus集群获取格式化好了的metrics接口服务

cat > exporter-service.yaml EOF
kind: Service
apiVersion: v1
metadata:
  name: nginx-prometheus-exporter
spec:
  ports:
    - port: 9113
      targetPort: 9113
      name: nginx-prometheus-exporter
      protocol: TCP
  selector:
    app: nginx-prometheus-exporter
    deploy: nginx-exporter
EOF

5）部署Service

[root@k8s-master1 exporter-nginx]# kubectl apply -f exporter-service.yaml

6）查看部署

[root@k8s-master1 exporter-nginx]# kubectl get svc,pod
NAME                  TYPE        CLUSTER-IP       EXTERNAL-IP   PORT(S)     			     AGE
service/nginx-prometheus-exporter   ClusterIP   10.109.114.223   <none>     9113/TCP         3m19s

NAME                                             READY   STATUS    RESTARTS   AGE
pod/nginx-prometheus-exporter-7fdfcf6d7b-szt82   1/1     Running   0          6m10s

7）访问测试

[root@k8s-master1 exporter-nginx]# curl 10.109.114.223:9113/metrics
# HELP nginx_connections_accepted Accepted client connections
# TYPE nginx_connections_accepted counter
nginx_connections_accepted 4
# HELP nginx_connections_active Active client connections
# TYPE nginx_connections_active gauge
nginx_connections_active 1
# HELP nginx_connections_handled Handled client connections
# TYPE nginx_connections_handled counter

2、部署EndPrints

部署EndPrints，链接expertor暴露出来的metrics接口

# 参考上述Service，此处无需重复创建。

3、部署Service

基于ServiceMonitor使用

# 参考上述Service，此处无需重复创建。

4、创建ServiceMonitor

创建ServiceMonitor，注入promethues

1）编写配置清单

cat > service-monitor.yaml <<EOF
kind: ServiceMonitor
apiVersion: monitoring.coreos.com/v1
metadata:
  labels:
    app: nginx-prometheus-exporter-servicemonitor
    deploy: nginx-exporter-servicemonitor
  name: nginx-monitor
  namespace: monitoring
spec:
  endpoints:
    - interval: 3s
      port: nginx-prometheus-exporter
  selector:
    matchLabels:
      app: nginx-prometheus-exporter
      deploy: nginx-exporter
  namespaceSelector:
    matchNames:
      - "default"
EOF

2）部署查看

[root@k8s-master1 exporter-nginx]# kubectl apply -f service-monitor.yaml
[root@k8s-master1 exporter-nginx]# kubectl get servicemonitor -n monitoring 
NAME                      AGE
nginx-monitor             25s

3）测试

tongredis prometheus监控方案 prometheus监控接口_redis_02

4）加入grafana，做大屏展示

略~

监控Redis

1.部署测试环境

1）编写部署清单

cat > redis-deploy.yaml <EOF
kind: Deployment
apiVersion: apps/v1
metadata:
  name: redis
spec:
  selector:
    matchLabels:
      k8s: redis-exporter
  template:
    metadata:
      labels:
        k8s: redis-exporter
    spec:
      containers:
        - name: redis
          imagePullPolicy: IfNotPresent
          image: redis
EOF

2）编写Service清单

cat > redis-svc.yaml <<EOF
kind: Service
apiVersion: v1
metadata:
  name: redis-svc
  labels:
    k8s: redis-exporter
spec:
  ports:
    - port: 6379
      targetPort: 6379
      name: redis
  selector:
    k8s: redis-exporter
EOF

3）部署

[root@k8s-master1 exporter-redis]# kubectl apply -f redis-deploy.yaml
[root@k8s-master1 exporter-redis]# kubectl apply -f redis-svc.yaml

2.配置部署expertor

配置部署expertor，从而创建一个metrics接口

1）编写部署清单

cat > redis-exporter-deploy.yaml <<EOF
kind: Deployment
apiVersion: apps/v1
metadata:
  name: redis-exporter-server
spec:
  selector:
    matchLabels:
      k8s: redis-exporter-server
  template:
    metadata:
      annotations:
        prometheus.io/scrape: "true"
        prometheus.io/port: "9121"
      labels:
        k8s: redis-exporter-server
    spec:
      containers:
        - name: redis
          image: oliver006/redis_exporter
          args:
            - "--redis.addr=redis://redis-svc.default.svc.cluster.local:6379"
          ports:
            - containerPort: 9121
EOF

2）编写svc清单

cat > redis-exporter-svc.yaml <<EOF
kind: Service
apiVersion: v1
metadata:
  name: redis-exporter-server
  labels:
    k8s: redis-exporter-server-svc
spec:
  ports:
    - port: 9121
      targetPort: 9121
      name: redis-exporter
  selector:
    k8s: redis-exporter-server
EOF

3）部署

[root@k8s-master1 exporter-redis]# kubectl apply -f redis-exporter-deploy.yaml
[root@k8s-master1 exporter-redis]# kubectl apply -f redis-exporter-svc.yaml

3.部署EndPrints

部署EndPrints，链接expertor暴露出来的metrics接口

# 参考上述Service，此处无需重复创建。

4.部署Service

部署Service，基于ServiceMonitor使用

# 参考上述Service，此处无需重复创建。

5.创建ServiceMonitor

创建ServiceMonitor，注入promethues

1）编写配置清单

cat > redis-monitor.yaml <<EOF
kind: ServiceMonitor
apiVersion: monitoring.coreos.com/v1
metadata:
  labels:
    app: redis-prometheus-exporter-servicemonitor
    deploy: redis-exporter-servicemonitor
  name: redis-monitor
  namespace: monitoring
spec:
  endpoints:
    - interval: 3s
      port: redis-exporter
  selector:
    matchLabels:
      k8s: redis-exporter-server-svc
  namespaceSelector:
    matchNames:
      - "default"
EOF

2）部署

[root@k8s-master1 exporter-redis]# kubectl apply -f redis-monitor.yaml

6.grafana展示

tongredis prometheus监控方案 prometheus监控接口_redis_03

监控Mysql

1.造环境

1）安装mariadb

[root@k8s-master1]# yum install mariadb\* -y
[root@k8s-master1]# systemctl enable --now mariadb

2）授权monitor用户

[root@k8s-master1]# mysql
MariaDB [(none)]> grant select,replication client,process ON *.* to 'mysql_monitor'@'%' identified by 'oldboy@123';
Query OK, 0 rows affected (0.00 sec)

PS：授权ip为localhost，因为不是prometheus服务器来直接找mariadb 获取数据，而是prometheus服务器找mysql_exporter,mysql_exporter 再找mariadb，所以这个localhost是指的mysql_exporter的IP

2.安装数据库exporter

1）编写部署清单

cat > mysql-deploy.yaml <<EOF
kind: Deployment
apiVersion: apps/v1
metadata:
  name: mysql-exporter-server
spec:
  selector:
    matchLabels:
      k8s: mysql-exporter-server
  template:
    metadata:
      labels:
        k8s: mysql-exporter-server
    spec:
      containers:
        - name: mysql
          image: prom/mysqld-exporter
          env:
            - name: DATA_SOURCE_NAME
              value: "mysql_monitor:oldboy@123@(mysql.default.svc.cluster.local:3306)"
          ports:
            - containerPort: 9104
EOF

2）编写Service清单

cat > mysql-svc.yaml <<EOF
kind: Service
apiVersion: v1
metadata:
  name: mysql-exporter-server
  labels:
    k8s: mysql-exporter-server-svc
spec:
  ports:
    - port: 9104
      targetPort: 9104
      name: mysql-exporter-port
      protocol: TCP
  selector:
    k8s: mysql-exporter-server
---
kind: ServiceMonitor
apiVersion: monitoring.coreos.com/v1
metadata:
  labels:
    app: mysql-prometheus-exporter-servicemonitor
    deploy: mysql-exporter-servicemonitor
  name: mysql-exporter-monitor
  namespace: monitoring
spec:
  endpoints:
    - interval: 3s
      port: mysql-exporter-port
  selector:
    matchLabels:
      k8s: mysql-exporter-server-svc
  namespaceSelector:
    matchNames:
      - "default"
EOF

3.部署服务

[root@k8s-master1 exporter-mysql]# kubectl apply -f mysql-deploy.yaml
[root@k8s-master1 exporter-mysql]# kubectl apply -f mysql-svc.yaml

监控exporter

监控一个外部的exporter

1.造环境

1）下载部署exporter

#下载
[root@k8s-master1]# wget https://github.com/prometheus/mysqld_exporter/releases/download/v0.12.1/mysqld_exporter-0.12.1.linux-amd64.tar.gz

# 解压
[root@k8s-master1]# tar -xf mysqld_exporter-0.12.1.linux-amd64.tar.gz -C /usr/local/

#查看
[root@k8s-master1]# ll /usr/localmysqld_exporter-0.12.1.linux-amd64
总用量 14484
-rw-r--r-- 1 3434 3434    11325 7月  29 2019 LICENSE
-rwxr-xr-x 1 3434 3434 14813452 7月  29 2019 mysqld_exporter
-rw-r--r-- 1 3434 3434       65 7月  29 2019 NOTICE

1）安装mariadb

[root@k8s-master1]# yum install mariadb\* -y
[root@k8s-master1]# systemctl enable --now mariadb

2）授权monitor用户

[root@k8s-master1]# mysql
MariaDB [(none)]> grant select,replication client,process ON *.* to 'mysql_monitor'@'%' identified by 'oldboy@123';
Query OK, 0 rows affected (0.00 sec)

PS：授权ip为localhost，因为不是prometheus服务器来直接找mariadb 获取数据，而是prometheus服务器找mysql_exporter,mysql_exporter 再找mariadb，所以这个localhost是指的mysql_exporter的IP

2.配置maridb

创建一个mariadb配置文件，写上连接的用户名与密码(和上面的授权的用户名和密码要对应)

[root@k8s-master1]# vim /usr/local/mysqld_exporter-0.12.1/.my.cnf
[client]
user=mysql_monitor
password=123

3.启动mysqld_exporter

[root@k8s-master1]# nohup /usr/local/mysqld_exporter-0.12.1/mysqld_exporter --config.my-cnf=/usr/local/mysqld_exporter-0.12.1/.my.cnf &

PS：确认端口是否为 9104

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tongredis prometheus监控方案 prometheus监控接口

tongredis prometheus监控方案 prometheus监控接口

文章目录

监控不携带metrics接口的服务

准备测试环境

1、部署expertor

1）准备目录

2）创建服务

3）部署服务

4）创建Service

5）部署Service

6）查看部署

7）访问测试

2、部署EndPrints

3、部署Service

4、创建ServiceMonitor

1）编写配置清单

2）部署查看

3）测试

4）加入grafana，做大屏展示

监控Redis

1.部署测试环境

1）编写部署清单

2）编写Service清单

3）部署

2.配置部署expertor

1）编写部署清单

2）编写svc清单

3）部署

3.部署EndPrints

4.部署Service

5.创建ServiceMonitor

1）编写配置清单

2）部署

6.grafana展示

监控Mysql

1.造环境

1）安装mariadb

2）授权monitor用户

2.安装数据库exporter

1）编写部署清单

2）编写Service清单

3.部署服务

监控exporter

1.造环境

1）下载部署exporter

1）安装mariadb

2）授权monitor用户

2.配置maridb

3.启动mysqld_exporter

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