Springboot+Prometheus+grafana 制作自己的业务监控
目录
//@desc:Springboot+Prometheus+grafana 制作自己的业务监控
//@desc:码字不宜，转载请注明出处
//@author:张慧源 <turing_zhy@163.com>
//@date:2022/09/09
知识储备
Prometheus 中文文档 ： https://prometheus.fuckcloudnative.io/
系统架构
开始实现
生成业务指标
经典实现方法
经典的实现方法网上有很多案例，即利用切面在接口发生调用的时候写入指标数据
详见：https://www.jb51.net/article/202726.htm
自己的实现方案
由于自己的业务是为服务架构，第一期打算先实现从无到有，于是采用了定时任务跑指标的方案
引入依赖
<!--prometheus-->
<dependency>
<groupId>io.micrometer</groupId>
<artifactId>micrometer-registry-prometheus</artifactId>
<version>1.8.4</version>
</dependency>
<!--定时任务-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-quartz</artifactId>
<version>2.6.6</version>
</dependency>
<!--actuator 监控-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
<version>2.7.2</version>
</dependency>
配置文件
#监控路径
management:
endpoints:
web:
exposure:
include: "*"
注册自己的指标[我这里用的是guaua格式数据]
package cn.hexcloud.m82.monitoring.service.monitor;
import io.micrometer.prometheus.PrometheusMeterRegistry;
import io.prometheus.client.Gauge;
import org.springframework.stereotype.Service;
import javax.annotation.PostConstruct;
import javax.annotation.Resource;
/**
* 优惠相关监控
*
* @author abner<huiyuan.zhang @ hex-tech.net>
* @date 2022-09-08 17:09:14
*/
@Service
public class PromotionMonitor {
/**
* 核券数量
*/
public static Gauge VERIFY_COUPON_COUNT;
/**
* 核券金额
*/
public static Gauge VERIFY_COUPON_AMOUNT_SUM;
/**
* 核活动数量
*/
public static Gauge VERIFY_ACTIVITY_COUNT;
/**
* 核活动金额
*/
public static Gauge VERIFY_ACTIVITY_AMOUNT_SUM;
/**
* 构造函数
*
* @author abner<huiyuan.zhang @ hex-tech.net>
* @date 2022-09-08 11:33:56
*/
@PostConstruct
private void init() {
VERIFY_COUPON_COUNT = initVerifyCouponCount();
VERIFY_COUPON_AMOUNT_SUM = initVerifyCouponAmountSum();
VERIFY_ACTIVITY_COUNT = initVerifyActivityCount();
VERIFY_ACTIVITY_AMOUNT_SUM = initVerifyActivityAmountSum();
}
@Resource
private PrometheusMeterRegistry prometheusMeterRegistry;
/**
* 获取 verify coupon count 句柄
*
* @author abner<huiyuan.zhang @ hex-tech.net>
* @date 2022-09-08 11:47:45
*/
public Gauge getVerifyCouponCount() {
return VERIFY_COUPON_COUNT;
}
/**
* 获取 verify coupon amount sum 句柄
*
* @author abner<huiyuan.zhang @ hex-tech.net>
* @date 2022-09-08 11:47:45
*/
public Gauge getVerifyCouponAmountSum() {
return VERIFY_COUPON_AMOUNT_SUM;
}
/**
* 获取 experience count 句柄
*
* @author abner<huiyuan.zhang @ hex-tech.net>
* @date 2022-09-08 11:47:45
*/
public Gauge getVerifyActivityCount() {
return VERIFY_ACTIVITY_COUNT;
}
/**
* 获取 verify activity amount sum 句柄
*
* @author abner<huiyuan.zhang @ hex-tech.net>
* @date 2022-09-08 11:47:45
*/
public Gauge getVerifyActivityAmountSum() {
return VERIFY_ACTIVITY_AMOUNT_SUM;
}
/**
* 核券数量
*/
public Gauge initVerifyCouponCount() {
Gauge verifyCouponCount = Gauge.build().name("verify_coupon_count").labelNames("partner_id").help("verify coupon count").register();
prometheusMeterRegistry.getPrometheusRegistry().register(verifyCouponCount);
return verifyCouponCount;
}
/**
* 核券金额
*/
public Gauge initVerifyCouponAmountSum() {
Gauge verifyCouponAmountSum = Gauge.build().name("verify_coupon_amount_sum").labelNames("partner_id").help("verify coupon amount sum").register();
prometheusMeterRegistry.getPrometheusRegistry().register(verifyCouponAmountSum);
return verifyCouponAmountSum;
}
/**
* 核销活动数量
*/
public Gauge initVerifyActivityCount() {
Gauge verifyActivityCount = Gauge.build().name("verify_activity_count").labelNames("partner_id").help("verify activity count").register();
prometheusMeterRegistry.getPrometheusRegistry().register(verifyActivityCount);
return verifyActivityCount;
}
/**
* 核活动金额
*/
public Gauge initVerifyActivityAmountSum() {
Gauge verifyActivityAmountSum = Gauge.build().name("verify_activity_amount_sum").labelNames("partner_id").help("verify activity amount sum").register();
prometheusMeterRegistry.getPrometheusRegistry().register(verifyActivityAmountSum);
return verifyActivityAmountSum;
}
}
写入指标
log.info("VerifyActivityCount-partnerId:{}-count:{}",partnerCountAmountActivityDto.getPartnerId(),partnerCountAmountActivityDto.getCount());
promotionMonitor.getVerifyActivityCount().labels(partnerCountAmountActivityDto.getPartnerId()).set(partnerCountAmountActivityDto.getCount());
float verifyCouponAmount = partnerCountAmountActivityDto.getAmount()
.divide(BigDecimal.TEN.multiply(BigDecimal.TEN), 2, RoundingMode.HALF_UP)
.floatValue();
log.info("VerifyActivityAmountSum-partnerId:{}-amount:{}",partnerCountAmountActivityDto.getPartnerId(),verifyCouponAmount);
promotionMonitor.getVerifyActivityAmountSum().labels(partnerCountAmountActivityDto.getPartnerId()).set(verifyCouponAmount);
效果展示
路径：http://localhost:8080//actuator/prometheus
配置prometheus 抓取上面的指标
** 可以搭建自己的prometheus服务也可以使用阿里云的prometheus**
我是使用阿里云的prometheus
抓取配置
# 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=` to any timeseries scraped from this config.
- job_name: 'prometheus'
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.
static_configs:
- targets: ['localhost:9090']
配置自己的图表
我的业务需要分租户展示，kennel跟大家的不太一样，稍微展示下吧
最终效果展示
