springboot Actuator整合prometheus并使用grafana可视化（prometheus，grafana使用docker搭建）

springboot 版本2.7.4

springboot

依赖

 		<dependency>
            <groupId>org.springframework.bootgroupId>
            <artifactId>spring-boot-starter-actuatorartifactId>
        dependency>
        <dependency>
            <groupId>org.springframework.bootgroupId>
            <artifactId>spring-boot-starter-webartifactId>
        dependency>

        <dependency>
            <groupId>io.micrometergroupId>
            <artifactId>micrometer-registry-prometheusartifactId>
            <scope>runtimescope>
        dependency>

application.yaml

management:
  endpoint:
    health:
      show-details: always
  endpoints:
    web:
      exposure:
        include:
          - prometheus
          - health
          - info

  metrics:
    tags:
      application: tcoding-demo

main 方法

@SpringBootApplication
@RestController
public class Application {

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

    @GetMapping
    public String hello(){
        return "hello world";
    }
}

prometheus

拉取镜像

docker pull bitnami/prometheus:2.38.0

运行

方式一：进入容器修改prometheus.yml

 docker run -itd --name prom -p 9090:9090 bitnami/prometheus:2.38.0

进入容器修改prometheus.yml

docker exec -it -u 0  prom /bin/bash 

apt-get update -y

apt-get install -y vim

修改metrics_path和static_configs

host.docker.internal 是容器访问宿主机hostname

scrape_configs:
  # The job name is added as a label `job=` to any timeseries scraped from this config.
  - job_name: "tcoding-demo"

    metrics_path: '/actuator/prometheus'
    # scheme defaults to 'http'.

    static_configs:
      - targets: ["host.docker.internal:8080"]

然后重启 docker restart prom

方式二

本地新建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=` to any timeseries scraped from this config.
  - job_name: "tcoding-demo"

    metrics_path: '/actuator/prometheus'
    # scheme defaults to 'http'.

    static_configs:
      - targets: ["host.docker.internal:8080"]

 docker run -itd --name prom -p 9090:9090 \
 -v /your path/prometheus.yml:/etc/prometheus/prometheus.yml prom/prometheus \
 bitnami/prometheus:2.38.0 

grafana

docker搭建

docker pull grafana/grafana:9.1.6 

docker run \
      -itd \
      -p 3000:3000 \
      --name=grafana \
      --link=prom \
      grafana/grafana:9.1.6

grafana配置Prometheus

访问 http://localhost:3000/

修改数据源url

Dashboards配置

下载配置

https://grafana.com/grafana/dashboards/

我是用的是jvm

上传刚刚下载的json文件

测试

• 启动springboot

• grafana切换一下时间范围，太长显示有问题（没有历史数据)
  

• 效果预览
  

源码地址

https://github.com/googalAmbition/hello-spring-boot/tree/main/44-actuator-prometheus