自定义的prometheus自定义springboot-starter
<?xml version="1.0" encoding="UTF-8"?><project xmlns="http://maven.apache.org/POM/4.0.0"xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"><parent><artifactId>common-starter</artifactId><groupId>com.wlc.cloud</groupId><version>1.0-SNAPSHOT</version></parent><modelVersion>4.0.0</modelVersion><artifactId>wlc-prometheus-starter</artifactId><version>1.0-SNAPSHOT</version><dependencies><!--prometheus监控 https://prometheus.io/docs/introduction/overview/--><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-actuator</artifactId></dependency><!--prometheus监控 https://prometheus.io/docs/introduction/overview/--><dependency><groupId>io.micrometer</groupId><artifactId>micrometer-registry-prometheus</artifactId></dependency></dependencies></project>
模块的代码结构

prometheus注册配置MeterRegistryConfig类
import io.micrometer.core.instrument.MeterRegistry;import org.springframework.beans.factory.annotation.Value;import org.springframework.boot.actuate.autoconfigure.metrics.MeterRegistryCustomizer;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration;import org.springframework.stereotype.Component;/*** 描述: prometheus注册配置 </br>* 时间: 2020-05-23 15:42 </br>* 作者:老王*/@Component@Configurationpublic class MeterRegistryConfig {@BeanMeterRegistryCustomizer<MeterRegistry> configurer(@Value("${spring.application.name}") String applicationName) {return (registry) -> registry.config().commonTags("application", applicationName);}}
META-INF下的自动配置文件spring.factories
org.springframework.boot.autoconfigure.EnableAutoConfiguration=\com.prometheus.config.MeterRegistryConfig
这样自定义的springboot-starter就定义好了
其他需要引入的微服务直接引入maven坐标即可
<!--自定义普罗米修斯spring-boot-starter--><dependency><groupId>com.wlc.cloud</groupId><artifactId>wlc-prometheus-starter</artifactId><version>1.0-SNAPSHOT</version></dependency>
这里统一的nacos的服务转consul,并且同步到prometheus,我选择网关,因为就配置两个不动的ip在prometheus.yaml中即可
gateway中需要引入 nacos-consul-adapter适配器
在gateway的pom.xml中新增
<!--nacos-consul-adapter适配器,为了让nacos的注册服务都注册到prometheus--><dependency><groupId>io.github.chen-gliu</groupId><artifactId>nacos-consul-adapter</artifactId><version>0.0.3.M</version></dependency><!--自定义普罗米修斯spring-boot-starter--><dependency><groupId>com.wlc.cloud</groupId><artifactId>wlc-prometheus-starter</artifactId><version>1.0-SNAPSHOT</version></dependency>
在我的授权服务auth-server中pom.xml引入自定义普罗米修斯spring-boot-starter
<!--自定义普罗米修斯spring-boot-starter--><dependency><groupId>com.wlc.cloud</groupId><artifactId>wlc-prometheus-starter</artifactId><version>1.0-SNAPSHOT</version></dependency>
auth-server中和gateway和所有引入自定义普罗米修斯spring-boot-starter进行监控的都要在application.yml新增如下配置
management:#prometheus+grafana+springboot2监控集成配置metrics:export:prometheus:enabled: truejmx:enabled: trueendpoints:web:exposure:include: '*'
我这里的分布式id服务 uid-generator-server 和springboot-admin都加入了prometheus监控。配置和auth-server一样,pom中引入自定义普罗米修斯spring-boot-starter
application.yml配置下
<!--自定义普罗米修斯spring-boot-starter--><dependency><groupId>com.wlc.cloud</groupId><artifactId>wlc-prometheus-starter</artifactId><version>1.0-SNAPSHOT</version></dependency>
application.yml配置下
management:#prometheus+grafana+springboot2监控集成配置metrics:export:prometheus:enabled: truejmx:enabled: trueendpoints:web:exposure:include: '*'
然后不能测试,因为没有安装prometheus和grafana
安装linux环境的步骤如下:
安装prometheus
1,下载Prometheus
地址:https://prometheus.io/download/

下载到本地,后面可以上传到linux服务器上解压即可。然后配置下prometheus.yml就可以了,简单明了
我在 linux服务器的/opt下新建了monitor文件夹,防止一些监控的工具,在monitor新建了grafana和prometheus两个文件夹

把刚刚下载的prometheus-2.36.0.linux-amd64.tar.gz上传到 /opt/monitor/prometheus文件见下,然后解压即可,解压后的截图

然后cd 到 prometheus-2.36.0下,修改prometheus.yml
prometheus.yml如下
# my global configglobal:scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.# scrape_timeout is set to the global default (10s).# Alertmanager configurationalerting:alertmanagers:- static_configs:- targets:# - alertmanager:9093# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.rule_files:# - "first_rules.yml"# - "second_rules.yml"# A scrape configuration containing exactly one endpoint to scrape:# Here it's Prometheus itself.scrape_configs:# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.- job_name: "prometheus"# metrics_path defaults to '/metrics'# scheme defaults to 'http'.static_configs:- targets: ['localhost:9090']#这是新增的监控job,是配置nacos-consul-adapter适配器的服务,也就是我的网关- job_name: 'consul-prometheus-test'metrics_path: '/actuator/prometheus'consul_sd_configs:#这里是nacos-consul-adapter适配器的服务,也就是我的网关的ip和端口号- server: '127.0.0.1:8080'
start.sh脚本
nohup ./prometheus-2.36.0/prometheus --config.file=/opt/monitor/prometheus/prometheus-2.36.0/prometheus.yml >/opt/monitor/prometheus/prometheus.log 2>&1 &
把start.sh服务执行权限,然后 ./start.sh即可启动,默认端口是9090


然而访问浏览器地址:http://ip:port就行,我的是 http://127.0.0.1:9090就可以访问prometheus,前提是你的linux服务器要暴露9090端口


这样就注册到prometheus,到此成功,点击任意个服务就会有相信信息

下面Linux下安装grafana来对prometheus的数据可视化,不然不直观
安装grafana
下载grafana
下载地址:https://grafana.com/grafana/download,打开连接,进入grafana的web界面,找到下载命令,在linux中执行即可

命令:
wget https://dl.grafana.com/enterprise/release/grafana-enterprise-8.5.3.linux-amd64.tar.gz
我是在/opt/monitor/grafana目录下执行 wget https://dl.grafana.com/enterprise/release/grafana-enterprise-8.5.3.linux-amd64.tar.gz,就会下载到/opt/monitor/grafana目录下
然后解压即可

其他什么都不需要改,直接启动就行
start.sh脚本信息如下,后台启动
cd /opt/monitor/grafana/grafana-8.5.3/binnohup ./grafana-server start >/opt/monitor/grafana/grafana.log 2>&1 &
给start.sh执行权限,然后 ./start.sh 启动即可
启动后


linux暴露3000端口,就可以浏览器访问了
浏览器访问 http://localhost:3000/就可以,用户名/密码 admin/admin,成功页面





滚动下拉


这里prometheus数据源配置完成,也就是grafana可以访问到刚刚安装的prometheus服务了
下面进行grafana面板的可视化配置


我这里在https://grafana.com/grafana/dashboard 找的

下面是我找的一个喜欢的

用notepad打开,然后全选,copy,把内容粘贴到

然后点击【load】按钮即可
进入配置的面板

点击搜索,选择不同的面板,来查看不同的监控需求

然后你可以在nginx中用域名做个配置,即可实现线上的jvm监控,
监控组件的数据流程如下

监控系统是服务中一个很重要的角色,希望对大家有所帮助




