1.Spring Boot 工程集成 Micrometer

1.1引入依賴

org.springframework.boot
spring-boot-starter-actuator


io.micrometer
micrometer-registry-prometheus

1.2配置

management.server.port=9003
management.endpoints.web.exposure.include=*
management.endpoint.metrics.enabled=true
management.endpoint.health.show-details=always
management.endpoint.health.probes.enabled=true
management.endpoint.prometheus.enabled=true
management.metrics.export.prometheus.enabled=true
management.metrics.tags.application=voice-qc-backend

這里 management.endpoints.web.exposure.include=* 配置為開啟 Actuator 服務(wù)，因?yàn)镾pring Boot Actuator 會(huì)自動(dòng)配置一個(gè) URL 為 /actuator/Prometheus 的 HTTP 服務(wù)來供 Prometheus 抓取數(shù)據(jù)，不過默認(rèn)該服務(wù)是關(guān)閉的，該配置將打開所有的 Actuator 服務(wù)。

management.metrics.tags.application 配置會(huì)將該工程應(yīng)用名稱添加到計(jì)量器注冊表的 tag 中去，方便后邊 Prometheus 根據(jù)應(yīng)用名稱來區(qū)分不同的服務(wù)。

1.3監(jiān)控jvm信息

然后在工程啟動(dòng)主類中添加 Bean 如下來監(jiān)控 JVM 性能指標(biāo)信息：

@SpringBootApplication
publicclassGatewayDatumApplication{

publicstaticvoidmain(String[]args){
SpringApplication.run(GatewayDatumApplication.class,args);
}

@Bean
MeterRegistryCustomizerconfigurer(
@Value("${spring.application.name}")StringapplicationName){
return(registry)->registry.config().commonTags("application",applicationName);
}

}

1.4創(chuàng)建自定義監(jiān)控

監(jiān)控請求次數(shù)與響應(yīng)時(shí)間

packagecom.lianxin.gobot.api.monitor;

importio.micrometer.core.instrument.Counter;
importio.micrometer.core.instrument.MeterRegistry;
importio.micrometer.core.instrument.Timer;
importlombok.Getter;
importorg.springframework.beans.factory.annotation.Autowired;
importorg.springframework.beans.factory.annotation.Value;
importorg.springframework.stereotype.Component;

importjavax.annotation.PostConstruct;

/**
*@Author:GZ
*@CreateTime:2022-08-3010:50
*@Description:自定義監(jiān)控服務(wù)
*@Version:1.0
*/
@Component
publicclassPrometheusCustomMonitor{
/**
*上報(bào)撥打請求次數(shù)
*/
@Getter
privateCounterreportDialRequestCount;
/**
*上報(bào)撥打URL
*/
@Value("${lx.call-result-report.url}")
privateStringcallReportUrl;

/**
*上報(bào)撥打響應(yīng)時(shí)間
*/
@Getter
privateTimerreportDialResponseTime;
@Getter
privatefinalMeterRegistryregistry;


@Autowired
publicPrometheusCustomMonitor(MeterRegistryregistry){
this.registry=registry;
}

@PostConstruct
privatevoidinit(){
reportDialRequestCount=registry.counter("go_api_report_dial_request_count","url",callReportUrl);
reportDialResponseTime=registry.timer("go_api_report_dial_response_time","url",callReportUrl);
}
}

1.5添加具體業(yè)務(wù)代碼監(jiān)控

//統(tǒng)計(jì)請求次數(shù)
prometheusCustomMonitor.getReportDialRequestCount().increment();
longstartTime=System.currentTimeMillis();
Stringcompany=HttpUtils.post(companyUrl,"");
//統(tǒng)計(jì)響應(yīng)時(shí)間
longendTime=System.currentTimeMillis();
prometheusCustomMonitor.getReportDialResponseTime().record(endTime-startTime,TimeUnit.MILLISECONDS);

在瀏覽器訪問 http://127.0.0.1:9001/actuator/prometheus ，就可以看到服務(wù)的一系列不同類型 metrics 信息，例如jvm_memory_used_bytes gauge、jvm_gc_memory_promoted_bytes_total counter ，go_api_report_dial_request_count等

到此，Spring Boot 工程集成 Micrometer 就已經(jīng)完成，接下里就要與 Prometheus 進(jìn)行集成了。

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項(xiàng)目地址：https://github.com/YunaiV/ruoyi-vue-pro

2.集成 Prometheus

2.1安裝

dockerpullprom/prometheus
mdkir/usr/local/prometheus
viprometheus.yml

>基于SpringCloudAlibaba+Gateway+Nacos+RocketMQ+Vue&Element實(shí)現(xiàn)的后臺(tái)管理系統(tǒng)+用戶小程序，支持RBAC動(dòng)態(tài)權(quán)限、多租戶、數(shù)據(jù)權(quán)限、工作流、三方登錄、支付、短信、商城等功能
>
>*項(xiàng)目地址：
>*視頻教程：

#myglobalconfig
global:
scrape_interval:15s#Setthescrapeintervaltoevery15seconds.Defaultisevery1minute.
evaluation_interval:15s#Evaluaterulesevery15seconds.Thedefaultisevery1minute.
#scrape_timeoutissettotheglobaldefault(10s).

#Alertmanagerconfiguration
alerting:
alertmanagers:
-static_configs:
-targets:
#-alertmanager:9093

#Loadrulesonceandperiodicallyevaluatethemaccordingtotheglobal'evaluation_interval'.
rule_files:
#-"first_rules.yml"
#-"second_rules.yml"

#Ascrapeconfigurationcontainingexactlyoneendpointtoscrape:
#Hereit'sPrometheusitself.
scrape_configs:
#Thejobnameisaddedasalabel`job=`toanytimeseriesscrapedfromthisconfig.
-job_name:'prometheus'

#metrics_pathdefaultsto'/metrics'
#schemedefaultsto'http'.

static_configs:
-targets:['192.168.136.129:9090']
dockerrun-d--nameprometheus-p9090:9090-v/usr/local/prometheus/prometheus.yml:/etc/prometheus/prometheus.ymlprom/prometheus

2.2集成配置

global:
scrape_interval:15s

scrape_configs:
-job_name:"prometheus"
static_configs:
-targets:["localhost:9090"]
-job_name:"metricsLocalTest"
metrics_path:"/actuator/prometheus"
static_configs:
-targets:["localhost:9003"]

這里 localhost:9001 就是上邊本地啟動(dòng)的服務(wù)地址，也就是 Prometheus 要監(jiān)控的服務(wù)地址。同時(shí)可以添加一些與應(yīng)用相關(guān)的標(biāo)簽，方便后期執(zhí)行 PromSQL 查詢語句區(qū)分。最后重啟 Prometheus 服務(wù)

3.使用 Grafana Dashboard 展示監(jiān)控項(xiàng)

3.1安裝grafana

dockerpullgrafana/grafana
dockerrun-d--namegrafana-p3000:3000-v/usr/local/grafana:/var/lib/grafanagrafana/grafana

默認(rèn)用戶名/密碼 admin/admin

3.2配置prometheus數(shù)據(jù)源

3.3增加jvm面板

模板編號(hào)為4701

3.4配置業(yè)務(wù)接口監(jiān)控面板

審核編輯：湯梓紅