前往小程序,Get更优阅读体验!
立即前往
首页
学习
活动
专区
工具
TVP
发布
社区首页 >专栏 >Grafana+Prometheus系统监控之SpringBoot

Grafana+Prometheus系统监控之SpringBoot

作者头像
小柒2012
发布2018-04-13 17:41:04
3.8K0
发布2018-04-13 17:41:04
举报
文章被收录于专栏:IT笔记IT笔记IT笔记

前言

前一段时间使用SpringBoot创建了一个webhook项目,由于近期项目中也使用了不少SpringBoot相关的项目,趁着周末,配置一下使用prometheus监控微服务Springboot。

项目配置

引入坐标

<!-- Exposition spring_boot -->
<dependency>
    <groupId>io.prometheus</groupId>
    <artifactId>simpleclient_spring_boot</artifactId>
    <version>0.1.0</version>
</dependency>
<!-- Hotspot JVM metrics -->
<dependency>
    <groupId>io.prometheus</groupId>
    <artifactId>simpleclient_hotspot</artifactId>
    <version>0.1.0</version>
</dependency>
<!-- Exposition servlet -->
<dependency>
    <groupId>io.prometheus</groupId>
    <artifactId>simpleclient_servlet</artifactId>
    <version>0.1.0</version>
</dependency>

配置Application

@SpringBootApplication
@EnablePrometheusEndpoint
@EnableSpringBootMetricsCollector
public class Application  {
    private static final Logger logger = LoggerFactory.getLogger(Application.class);
    public static void main(String[] args) throws InterruptedException {
        SpringApplication.run(Application.class, args);
        logger.info("项目启动 ");
    }
}

配置MonitoringConfig

@Configuration
class MonitoringConfig {
    @Bean
    SpringBootMetricsCollector springBootMetricsCollector(Collection<PublicMetrics> publicMetrics) {

        SpringBootMetricsCollector springBootMetricsCollector = new SpringBootMetricsCollector(publicMetrics);
        springBootMetricsCollector.register();
        return springBootMetricsCollector;
    }

    @Bean
    ServletRegistrationBean servletRegistrationBean() {
        DefaultExports.initialize();
        return new ServletRegistrationBean(new MetricsServlet(), "/prometheus");
    }
}

配置Interceptor

RequestCounterInterceptor(计数):

public class RequestCounterInterceptor extends HandlerInterceptorAdapter {

    // @formatter:off
    // Note (1)
    private static final Counter requestTotal = Counter.build()
         .name("http_requests_total")
         .labelNames("method", "handler", "status")
         .help("Http Request Total").register();
    // @formatter:on

    @Override
    public void afterCompletion(HttpServletRequest request, HttpServletResponse response, Object handler, Exception e)
                                                                                                         throws Exception {
         // Update counters
         String handlerLabel = handler.toString();
         // get short form of handler method name
         if (handler instanceof HandlerMethod) {
              Method method = ((HandlerMethod) handler).getMethod();
              handlerLabel = method.getDeclaringClass().getSimpleName() + "." + method.getName();
         }
         // Note (2)
         requestTotal.labels(request.getMethod(), handlerLabel, Integer.toString(response.getStatus())).inc();
    }
}

RequestTimingInterceptor(统计请求时间):

package com.itstyle.webhook.interceptor;
import java.lang.reflect.Method;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import io.prometheus.client.Summary;
import org.springframework.web.method.HandlerMethod;
import org.springframework.web.servlet.handler.HandlerInterceptorAdapter;

public class RequestTimingInterceptor extends HandlerInterceptorAdapter {

    private static final String REQ_PARAM_TIMING = "timing";

    // @formatter:off
    // Note (1)
    private static final Summary responseTimeInMs = Summary
         .build()
         .name("http_response_time_milliseconds")
         .labelNames("method", "handler", "status")
         .help("Request completed time in milliseconds")
         .register();
    // @formatter:on

    @Override
    public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) throws Exception {
         // Note (2)
         request.setAttribute(REQ_PARAM_TIMING, System.currentTimeMillis());
         return true;
    }

    @Override
    public void afterCompletion(HttpServletRequest request, HttpServletResponse response, Object handler, Exception ex)throws Exception {
         Long timingAttr = (Long) request.getAttribute(REQ_PARAM_TIMING);
         long completedTime = System.currentTimeMillis() - timingAttr;
         String handlerLabel = handler.toString();
         // get short form of handler method name
         if (handler instanceof HandlerMethod) {
              Method method = ((HandlerMethod) handler).getMethod();
              handlerLabel = method.getDeclaringClass().getSimpleName() + "." + method.getName();
         }
       // Note (3)
       responseTimeInMs.labels(request.getMethod(), handlerLabel, 
                               Integer.toString(response.getStatus())).observe(completedTime);
    }
}

配置Controller

主要是为了测试拦截器的效果

@RestController
public class HomeController {
     private static final Logger logger = LoggerFactory.getLogger(HomeController.class);
 
     @RequestMapping("/endpointA")
     public void handlerA() throws InterruptedException {
          logger.info("/endpointA");
          Thread.sleep(RandomUtils.nextLong(0, 100));
     }
 
     @RequestMapping("/endpointB")
     public void handlerB() throws InterruptedException {
          logger.info("/endpointB");
          Thread.sleep(RandomUtils.nextLong(0, 100));
     }
}

以上都配置完成后启动项目即可。

配置Prometheus

vi prometheus.yml

  - job_name: webhook
    metrics_path: '/prometheus'
    static_configs:
     - targets: ['localhost:8080']
       labels:
         instance: webhook

保存后重新启动Prometheus即可。

访问http://ip/targets 服务State 为up说明配置成功,查阅很多教程都说需要配置 spring.metrics.servo.enabled=false,否则在prometheus的控制台的targets页签里,会一直显示此endpoint为down状态,然貌似并没有配置也是ok的。

2.png

访问http://ip/graph 测试一下效果

1.png

配置Grafana

如图所示:

3.png

参考链接

https://cloud.tencent.com/developer/article/1095363

https://cloud.tencent.com/developer/article/1096705

https://raymondhlee.wordpress.com/2016/09/24/monitoring-spring-boot-applications-with-prometheus/

https://raymondhlee.wordpress.com/2016/10/03/monitoring-spring-boot-applications-with-prometheus-part-2/

本文参与 腾讯云自媒体分享计划,分享自作者个人站点/博客。
原始发表:2017-11-26,如有侵权请联系 cloudcommunity@tencent.com 删除

本文分享自 作者个人站点/博客 前往查看

如有侵权,请联系 cloudcommunity@tencent.com 删除。

本文参与 腾讯云自媒体分享计划  ,欢迎热爱写作的你一起参与!

评论
登录后参与评论
0 条评论
热度
最新
推荐阅读
目录
  • 前言
  • 项目配置
    • 引入坐标
      • 配置Application
        • 配置MonitoringConfig
          • 配置Interceptor
            • 配置Controller
            • 配置Prometheus
            • 配置Grafana
            • 参考链接
            相关产品与服务
            Prometheus 监控服务
            Prometheus 监控服务(TencentCloud Managed Service for Prometheus,TMP)是基于开源 Prometheus 构建的高可用、全托管的服务,与腾讯云容器服务(TKE)高度集成,兼容开源生态丰富多样的应用组件,结合腾讯云可观测平台-告警管理和 Prometheus Alertmanager 能力,为您提供免搭建的高效运维能力,减少开发及运维成本。
            领券
            问题归档专栏文章快讯文章归档关键词归档开发者手册归档开发者手册 Section 归档