k8s外安装mysql
配置MySQL Exporter采集MySQL监控数据
创建yaml文件:vim mysql-exporter.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: mysql-exporter
namespace: monitoring
spec:
replicas: 1
selector:
matchLabels:
k8s-app: mysql-exporter
template:
metadata:
labels:
k8s-app: mysql-exporter
spec:
containers:
- name: mysql-exporter
image: registry.cn-chengdu.aliyuncs.com/qzcsbj/mysqld-exporter:v0.12.1
env:
- name: DATA_SOURCE_NAME
value: "root:123456@(192.168.117.160:3306)/"
imagePullPolicy: IfNotPresent
ports:
- containerPort: 9104
---
apiVersion: v1
kind: Service
metadata:
name: mysql-exporter
namespace: monitoring
labels:
k8s-app: mysql-exporter
spec:
type: ClusterIP
selector:
k8s-app: mysql-exporter
ports:
- name: mysql-exporter-api
port: 9104
protocol: TCP
创建exporter:kubectl create -f mysql-exporter.yaml
查看资源:kubectl get -f mysql-exporter.yaml
查看pod:kubectl get po -n monitoring |grep mysql-exporter
查看svc:kubectl get svc -n monitoring |grep mysql-exporter
查看是否获取到监控数据:curl 10.109.182.129:9104/metrics | grep max_connections
创建sm
prometheus中查看数据
查看prometheus的svc:kubectl get svc -n monitoring | grep prometheus
请求:http://192.168.117.161:30576
target中,prometheus自动发现了mysql
config中,自动生成了配置文件
查询数据:max_connections(要手动输入,不能复制粘贴)
mysql_global_variables_max_connections
grafana中查看数据
查看grafana的svc:kubectl get svc -n monitoring | grep grafana
请求:http://192.168.117.161:31239/
导入模板:https://grafana.com/grafana/dashboards/7362
然后选择数据源
效果
【性能项目实战:jmeter+k8s+微服务+skywalking+efk】汇总
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