SpringBoot Prometheus监控

Springboot程序配置

1. 添加依赖

   <dependency>
       <groupId>io.micrometer</groupId>
       <artifactId>micrometer-registry-prometheus</artifactId>
       <version>1.7.3</version>
   </dependency>
   

2. 配置文件

   spring.application.name=mrds-md-
   management.endpoints.web.exposure.include=*
   management.metrics.tags.application=${spring.application.name}
   

3. 程序增加bean配置

   @Bean
   	MeterRegistryCustomizer<MeterRegistry> configurer(
   			@Value("${spring.application.name}") String applicationName) {
   		return (registry) -> registry.config().commonTags("application", applicationName);
   	}
   

4. 启动项目验证

   启动项目，访问URL: localhost/actuator/prometheus

​ 可以看到一些度量指标

# HELP jvm_threads_states_threads The current number of threads having NEW state
# TYPE jvm_threads_states_threads gauge
jvm_threads_states_threads{application="huice-md-mrds-reciever",state="terminated",} 0.0
jvm_threads_states_threads{application="huice-md-mrds-reciever",state="runnable",} 33.0
jvm_threads_states_threads{application="huice-md-mrds-reciever",state="new",} 0.0
jvm_threads_states_threads{application="huice-md-mrds-reciever",state="waiting",} 50.0
jvm_threads_states_threads{application="huice-md-mrds-reciever",state="timed-waiting",} 15.0
jvm_threads_states_threads{application="huice-md-mrds-reciever",state="blocked",} 0.0
# HELP jvm_buffer_total_capacity_bytes An estimate of the total capacity of the buffers in this pool
# TYPE jvm_buffer_total_capacity_bytes gauge
jvm_buffer_total_capacity_bytes{application="huice-md-mrds-reciever",id="direct",} 8192.0
jvm_buffer_total_capacity_bytes{application="huice-md-mrds-reciever",id="mapped",} 0.0
# HELP logback_events_total Number of error level events that made it to the logs
# TYPE logback_events_total counter
logback_events_total{application="huice-md-mrds-reciever",level="info",} 31.0
logback_events_total{application="huice-md-mrds-reciever",level="error",} 0.0
logback_events_total{application="huice-md-mrds-reciever",level="warn",} 1.0
logback_events_total{application="huice-md-mrds-reciever",level="trace",} 0.0
logback_events_total{application="huice-md-mrds-reciever",level="debug",} 72.0
# HELP jvm_gc_pause_seconds Time spent in GC pause
# TYPE jvm_gc_pause_seconds summary
jvm_gc_pause_seconds_count{action="end of minor GC",application="huice-md-mrds-reciever",cause="Allocation Failure",} 28.0
jvm_gc_pause_seconds_sum{action="end of minor GC",application="huice-md-mrds-reciever",cause="Allocation Failure",} 0.426
jvm_gc_pause_seconds_count{action="end of minor GC",application="huice-md-mrds-reciever",cause="Metadata GC Threshold",} 2.0
jvm_gc_pause_seconds_sum{action="end of minor GC",application="huice-md-mrds-reciever",cause="Metadata GC Threshold",} 0.024
jvm_gc_pause_seconds_count{action="end of major GC",application="huice-md-mrds-reciever",cause="Metadata GC Threshold",} 2.0
jvm_gc_pause_seconds_sum{action="end of major GC",application="huice-md-mrds-reciever",cause="Metadata GC Threshold",} 0.174
# HELP jvm_gc_pause_seconds_max Time spent in GC pause
# TYPE jvm_gc_pause_seconds_max gauge
jvm_gc_pause_seconds_max{action="end of minor GC",application="huice-md-mrds-reciever",cause="Allocation Failure",} 0.023
jvm_gc_pause_seconds_max{action="end of minor GC",application="huice-md-mrds-reciever",cause="Metadata GC Threshold",} 0.015
jvm_gc_pause_seconds_max{action="end of major GC",application="huice-md-mrds-reciever",cause="Metadata GC Threshold",} 0.101

Prometheus配置

1. 启动docker

    
   #下载镜像
   docker pull prom/prometheus
   # 启动docker
   docker run -p 9090:9090 prom/prometheus
   # copy 出配置文件
   docker cp 445818f4494f:/etc/prometheus/prometheus.yml d:/
   
   

2. 修改配置文件： 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:
     - job_name: 'prometheus'
       static_configs:
       - targets: ['192.168.1.180:9090']
   ###以下内容为SpringBoot应用配置
     - job_name: 'springboot_prometheus'
       scrape_interval: 5s
       metrics_path: '/actuator/prometheus'
       static_configs:
         - targets: ['192.168.1.180:8080']
   
   

3.重启prometheus

   # 删除docker容器
   docker rm -f 445818f4494f
   #启动
   docker run -d -p 9090:9090 -v D:/Enviroments/monitor/prometheus/prometheus.yml:/etc/prometheus/prometheus.yml  prom/prometheus
       
   #持久化到存储
   docker run -p 9090:9090 -v /prometheus-data prom/prometheus --config.file=/prometheus-data/prometheus.yml
  

4. 验证

   测试 status targets 查看状态
   http://192.168.1.180:9090

安装grafana

1. 安装运行

#https://grafana.com/grafana/download?platform=docker
docker run -d --name=grafana -p 3000:3000 grafana/grafana

2. 验证

   登陆 admin admin
   http://192.168.1.180:3000/login

3. 配置

   grafana登陆后首先添加 数据源
   Add data source
   选中 prometheus
   http url 中添加prometheus的地址 http://192.168.1.180:9090

4. 验证