Prometheus+Grafana监控Springboot应用

一、整体结构

整体结构图

• springboot(micrometer)产生监控数据。
• Prometheus获取springboot的监控数据。
• Grafana 对接 Prometheus 数据源，展示成相关图表。

二、 实践步骤

1）创建springboot应用集成 micrometer

1. 在pom中添加micrometer依赖

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

2. 修改配置文件

   # 定义应用的名称
   spring.application.name=springboot2prometheus
   # 公开prometheus的接口，也可以写*表示公开所有
   management.endpoints.web.exposure.include=prometheus
   
   

3. 启动应用并访问http://localhost:8080/actuator/prometheus即可看到相关的监控数据

2）部署 Prometheus

由于docker安装非常方便而且速度很快，所以采用docker安装的方式，如不熟悉docker的可以看往期的docker技术文章

1. 执行docker命令

   docker run --rm -p 9090:9090 --name prometheus prom/prometheus
   
   

2. 从容器中拷贝配置文件到本地

   mkdir -p ~/etc/prometheus
   cd ~/etc/prometheus
   docker cp prometheus:/etc/prometheus/prometheus.yml .
   
   

3. 修改拷贝出的配置文件,修改最后三行，完整文件如下

   # 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'.
       metrics_path: '/actuator/prometheus'
       static_configs:
         - targets: ["192.168.18.114:8080"] # 为springboot应用所在地址
   
   

4. 关闭容器并重新执行(挂载上新的配置文件)

   docker run --rm -p 9090:9090 -v ~/etc/prometheus:/etc/prometheus --name prometheus prom/prometheus
   
   

3）部署Grafana

1. docker安装

   docker run --rm -p 3000:3000 --name=grafana grafana/grafana
   
   

2. 访问http://localhost:3000/，默认用户：admin，密码：admin

3. 新建数据源，点击左侧的齿轮按钮中的DataSource

   填入以下信息

4. 导入仪表盘，使用4701导入

5. 点击import后即可看到监控面板

4）自定义监控数据和面板

1. 修改springboot应用，添加监控数据-监控请求总数

   RequestCounterAop.java

   @Aspect
   @Component
   public class RequestCounterAop {
   
       private Counter counter;
   
       @Pointcut("bean(*Controller) && execution(public * *(..))")
       public void pointCut() {
       }
   
       public RequestCounterAop(MeterRegistry registry) {
           this.counter = registry.counter("requests_total", "status", "success");
       }
   
       @Before("pointCut()")
       public void count(JoinPoint joinPoint) {
           counter.increment(); //请求计数
       }
   }
   
   

   TestController.java

   @RestController
   @RequestMapping("/home")
   public class TestController {
       @GetMapping("")
       public String hello() {
           return "hello;";
       }
   }
   
   

2. 在浏览器中访问几次写好的测试接口http://localhost:8080/home,访问http://localhost:8080/actuator/prometheus即可看到监控数据

3. 打开grafana控制面板

填入以下内容，点击apply就看到监控面板

requests_total{application="springboot2prometheus",status="success",}