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🤞这次都给他拿下🤞
十分钟快速上手Prometheus与Grafana监控SpringBoot项目
先来捋一下数据流的传输

正菜来了⛳⛳⛳

环境：
springboot项目：127.0.0.1:8081
prometheus:127.0.0.1:9090
grafana:127.0.0.1:3000

🎈项目的创建

📐第 1 步:pom文件依赖

<!--这个依赖用于健康检查，审计，指标收集-->
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-actuator</artifactId>
</dependency>
<!--这个依赖用于把数据转换为prometheus格式使用-->
<dependency>
    <groupId>io.micrometer</groupId>
    <artifactId>micrometer-registry-prometheus</artifactId>
    <version>1.9.2</version>
</dependency>

📐第 2 步:application配置文件

spring:
  application:
    name: springboot-prometheus
#对外暴露哪些指标
management:
  endpoints:
    web:
      exposure:
        include: "*"
  #激活promethues并转换为对应的promethues数据
  endpoint:
    prometheus:
      enabled: true
    health:
      show-details: always
  #允许对应的数据指标被导出
  metrics:
    export:
      prometheus:
        enabled: true
server:
  port: 8081

📐第 3 步:为启动类设置自定义标签

@SpringBootApplication
public class SpringbootdemoApplication {

    public static void main(String[] args) {
        SpringApplication.run(SpringbootdemoApplication.class, args);
    }

    // 为实例设置自定义标签
    @Bean
    MeterRegistryCustomizer<MeterRegistry> configurer(
            @Value("${spring.application.name}") String name){
        return registry -> registry.config().commonTags("application",name);
    }

}

📐第 4 步:启动之后结果

🎈Prometheus搭建

📐第 1 步: 创建prometheus配置文件

• mkdir -p /etc/prometheus
• vi /etc/prometheus/prometheus.yml

#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: ['localhost:9090']
### 以下内容为springboot的配置，主要是这个地方
  - job_name: 'springboot_promethues'
    scrape_interval: 5s
    metrics_path: '/actuator/prometheus'
    static_configs:
      - targets: ['localhost:8081']

📐第 2 步 ：prometheus docker容器的创建

docker run -d --name=prometheus -v /etc/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml -p 9090:9090 bitnami/prometheus:latest

📐第 3 步：查看结果

🎈Grafana搭建

📐第 1 步: 创建grafana容器
docker run -d --name=grafana -p 3000:3000 grafana/grafana

📐第 3 步：登陆账号密码都是admin

📐第 3 步 ：指定数据源






4701是针对springboot项目的。

📐第 3 步：查看结果

🍚总结

通过Prometheus与Grafana，成功监控springboot项目的运行状态，像是jvm等一些指标都能够可视化出来。

Written By 知识浅谈