SpringBoot+Prometheus+Grafana 实现自定义监控

<dependency>
  <groupId>org.springframework.boot</groupId>
  <artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<dependency>
  <groupId>io.micrometer</groupId>
  <artifactId>micrometer-registry-prometheus</artifactId>
</dependency>

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

@SpringBootApplication
public class GatewayDatumApplication {
    public static void main(String[] args) {
        SpringApplication.run(GatewayDatumApplication.class, args);
    }
    @Bean
    MeterRegistryCustomizer<MeterRegistry> configurer(
            @Value("${spring.application.name}") String applicationName) {
        return (registry) -> registry.config().commonTags("application", applicationName);
    }
}

package com.lianxin.gobot.api.monitor;
import io.micrometer.core.instrument.Counter;
import io.micrometer.core.instrument.MeterRegistry;
import io.micrometer.core.instrument.Timer;
import lombok.Getter;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;
import javax.annotation.PostConstruct;
/**
 * @Author: GZ
 * @CreateTime: 2022-08-30  10:50
 * @Description: 自定义监控服务
 * @Version: 1.0
 */
@Component
public class PrometheusCustomMonitor {
    /**
     * 上报拨打请求次数
     */
    @Getter
    private Counter reportDialRequestCount;
    /**
     * 上报拨打URL
     */
    @Value("${lx.call-result-report.url}")
    private String callReportUrl;
    /**
     * 上报拨打响应时间
     */
    @Getter
    private Timer reportDialResponseTime;
    @Getter
    private final MeterRegistry registry;
    @Autowired
    public PrometheusCustomMonitor(MeterRegistry registry) {
        this.registry = registry;
    }
    @PostConstruct
    private void init() {
        reportDialRequestCount = registry.counter("go_api_report_dial_request_count", "url",callReportUrl);
        reportDialResponseTime=  registry.timer("go_api_report_dial_response_time", "url",callReportUrl);
    }
}

//统计请求次数
prometheusCustomMonitor.getReportDialRequestCount().increment();
long startTime = System.currentTimeMillis();
String company = HttpUtils.post(companyUrl,"");
//统计响应时间
long endTime = System.currentTimeMillis();
prometheusCustomMonitor.getReportDialResponseTime().record(endTime-startTime, TimeUnit.MILLISECONDS);

docker pull prom/prometheus
mdkir /usr/local/prometheus
vi prometheus.yml
> 基于 Spring Cloud Alibaba + Gateway + Nacos + RocketMQ + Vue & Element 实现的后台管理系统 + 用户小程序，支持 RBAC 动态权限、多租户、数据权限、工作流、三方登录、支付、短信、商城等功能
>
> * 项目地址：<https://github.com/YunaiV/yudao-cloud>
> * 视频教程：<https://doc.iocoder.cn/video/>
# my global config
global:
  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 configuration
alerting:
  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: ['192.168.136.129:9090']
docker run -d --name prometheus -p 9090:9090 -v/usr/local/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus

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"]

docker pull grafana/grafana
docker run -d --name grafana -p 3000:3000 -v /usr/local/grafana:/var/lib/grafana grafana/grafana