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作者：itmuch | 来源：IT牧场

TIPS
本文基于Spring Boot 2.1.4，理论支持Spring Boot 2.x所有版本

众所周知，Spring Boot有个子项目Spring Boot Actuator，它为应用提供了强大的监控能力。从Spring Boot 2.0开始，Actuator将底层改为Micrometer，提供了更强、更灵活的监控能力。Micrometer是一个监控门面，可以类比成监控界的 Slf4j 。

借助Micrometer，应用能够对接各种监控系统，例如：

•AppOptics^[1]•Atlas^[2]•Datadog^[3]•Dynatrace^[4]•Elastic^[5]•Ganglia^[6]•Graphite^[7]•Humio^[8]•Influx^[9]•JMX^[10]•KairosDB^[11]•New Relic^[12]•Prometheus^[13]•SignalFx^[14]•Simple (in-memory)^[15]•StatsD^[16]•Wavefront^[17]

下面演示如何对接 Prometheus ，并使用 Grafana 实现数据的可视化。

TIPS
童鞋们对Prometheus或Grafana不熟悉也没关系，本文是手把手文章，按步骤操作即可。

编码

编写代码

1 加依赖

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

这里，我们为应用引入了 micrometer-registry-prometheus ，事实上，你想对接上文列表中的哪款监控系统，就写啥。例如想对接 Influx ，则需添加依赖 micrometer-registry-influx 。

2 写配置

server:	
  port: 8080	
spring:	
  application:	
    name: prometheus-test	
management:	
  endpoints:	
    web:	
      exposure:	
        include: 'prometheus'	
  metrics:	
    tags:	
      application: ${spring.application.name}

如配置所示，指定应用名为 prometheus-test ，并将 Actuator 的 /actuator/prometheus 端点暴露出来；management.metrics.tags.application=prometheus-test 作用是为指标设置一个名为application="prometheus-test" 的Tag，Tag是Prometheus提供的一种能力，从而实现更加灵活的筛选。

测试

1 启动应用

2 访问 http://localhost:8080/actuator/prometheus 可获得类似如下的结果：

# HELP jvm_memory_used_bytes The amount of used memory	
# TYPE jvm_memory_used_bytes gauge	
jvm_memory_used_bytes{application="prometheus-test",area="heap",id="PS Old Gen",} 2.1193976E7	
jvm_memory_used_bytes{application="prometheus-test",area="nonheap",id="Metaspace",} 3.8791688E7	
jvm_memory_used_bytes{application="prometheus-test",area="heap",id="PS Survivor Space",} 0.0	
jvm_memory_used_bytes{application="prometheus-test",area="nonheap",id="Compressed Class Space",} 5303976.0	
jvm_memory_used_bytes{application="prometheus-test",area="heap",id="PS Eden Space",} 8.2574816E7	
jvm_memory_used_bytes{application="prometheus-test",area="nonheap",id="Code Cache",} 8693824.0	
# HELP tomcat_global_received_bytes_total  	
# TYPE tomcat_global_received_bytes_total counter	
tomcat_global_received_bytes_total{application="prometheus-test",name="http-nio-8080",} 0.0	
# HELP jvm_threads_daemon_threads The current number of live daemon threads	
# TYPE jvm_threads_daemon_threads gauge	
jvm_threads_daemon_threads{application="prometheus-test",} 20.0	
# HELP tomcat_sessions_alive_max_seconds  	
# TYPE tomcat_sessions_alive_max_seconds gauge	
tomcat_sessions_alive_max_seconds{application="prometheus-test",} 0.0	
# HELP jvm_buffer_memory_used_bytes An estimate of the memory that the Java virtual machine is using for this buffer pool	
# TYPE jvm_buffer_memory_used_bytes gauge	
jvm_buffer_memory_used_bytes{application="prometheus-test",id="mapped",} 0.0	
jvm_buffer_memory_used_bytes{application="prometheus-test",id="direct",} 90112.0	
# HELP jvm_threads_states_threads The current number of threads having NEW state	
# TYPE jvm_threads_states_threads gauge	
jvm_threads_states_threads{application="prometheus-test",state="runnable",} 9.0	
jvm_threads_states_threads{application="prometheus-test",state="new",} 0.0	
jvm_threads_states_threads{application="prometheus-test",state="terminated",} 0.0	
jvm_threads_states_threads{application="prometheus-test",state="blocked",} 0.0	
jvm_threads_states_threads{application="prometheus-test",state="waiting",} 12.0	
jvm_threads_states_threads{application="prometheus-test",state="timed-waiting",} 3.0	
# HELP process_cpu_usage The "recent cpu usage" for the Java Virtual Machine process	
# TYPE process_cpu_usage gauge	
process_cpu_usage{application="prometheus-test",} 0.0030590633504868434	
# HELP logback_events_total Number of error level events that made it to the logs	
# TYPE logback_events_total counter	
logback_events_total{application="prometheus-test",level="info",} 7.0	
logback_events_total{application="prometheus-test",level="warn",} 0.0	
logback_events_total{application="prometheus-test",level="trace",} 0.0	
logback_events_total{application="prometheus-test",level="debug",} 0.0	
logback_events_total{application="prometheus-test",level="error",} 0.0	
# HELP tomcat_global_sent_bytes_total  	
# TYPE tomcat_global_sent_bytes_total counter	
tomcat_global_sent_bytes_total{application="prometheus-test",name="http-nio-8080",} 195356.0	
# HELP process_files_max_files The maximum file descriptor count	
# TYPE process_files_max_files gauge	
process_files_max_files{application="prometheus-test",} 10240.0	
# HELP tomcat_threads_busy_threads  	
# TYPE tomcat_threads_busy_threads gauge	
tomcat_threads_busy_threads{application="prometheus-test",name="http-nio-8080",} 1.0	
# HELP process_files_open_files The open file descriptor count	
# TYPE process_files_open_files gauge	
process_files_open_files{application="prometheus-test",} 101.0	
# HELP tomcat_sessions_active_current_sessions  	
# TYPE tomcat_sessions_active_current_sessions gauge	
tomcat_sessions_active_current_sessions{application="prometheus-test",} 0.0	
# HELP jvm_classes_unloaded_classes_total The total number of classes unloaded since the Java virtual machine has started execution	
# TYPE jvm_classes_unloaded_classes_total counter	
jvm_classes_unloaded_classes_total{application="prometheus-test",} 2.0	
# HELP jvm_memory_committed_bytes The amount of memory in bytes that is committed for the Java virtual machine to use	
# TYPE jvm_memory_committed_bytes gauge	
jvm_memory_committed_bytes{application="prometheus-test",area="heap",id="PS Old Gen",} 1.5466496E8	
jvm_memory_committed_bytes{application="prometheus-test",area="nonheap",id="Metaspace",} 4.1418752E7	
jvm_memory_committed_bytes{application="prometheus-test",area="heap",id="PS Survivor Space",} 1.6252928E7	
jvm_memory_committed_bytes{application="prometheus-test",area="nonheap",id="Compressed Class Space",} 5767168.0	
jvm_memory_committed_bytes{application="prometheus-test",area="heap",id="PS Eden Space",} 1.73539328E8	
jvm_memory_committed_bytes{application="prometheus-test",area="nonheap",id="Code Cache",} 8716288.0	
# HELP http_server_requests_seconds  	
# TYPE http_server_requests_seconds summary	
http_server_requests_seconds_count{application="prometheus-test",exception="None",method="GET",outcome="SUCCESS",status="200",uri="/actuator/prometheus",} 16.0	
http_server_requests_seconds_sum{application="prometheus-test",exception="None",method="GET",outcome="SUCCESS",status="200",uri="/actuator/prometheus",} 0.326299973	
http_server_requests_seconds_count{application="prometheus-test",exception="None",method="GET",outcome="SUCCESS",status="200",uri="/**/favicon.ico",} 3.0	
http_server_requests_seconds_sum{application="prometheus-test",exception="None",method="GET",outcome="SUCCESS",status="200",uri="/**/favicon.ico",} 0.028434427	
# HELP http_server_requests_seconds_max  	
# TYPE http_server_requests_seconds_max gauge	
http_server_requests_seconds_max{application="prometheus-test",exception="None",method="GET",outcome="SUCCESS",status="200",uri="/actuator/prometheus",} 0.120627904	
http_server_requests_seconds_max{application="prometheus-test",exception="None",method="GET",outcome="SUCCESS",status="200",uri="/**/favicon.ico",} 0.015596512	
# HELP tomcat_global_error_total  	
# TYPE tomcat_global_error_total counter	
tomcat_global_error_total{application="prometheus-test",name="http-nio-8080",} 0.0	
# HELP jvm_gc_max_data_size_bytes Max size of old generation memory pool	
# TYPE jvm_gc_max_data_size_bytes gauge	
jvm_gc_max_data_size_bytes{application="prometheus-test",} 2.863661056E9	
# HELP jvm_gc_live_data_size_bytes Size of old generation memory pool after a full GC	
# TYPE jvm_gc_live_data_size_bytes gauge	
jvm_gc_live_data_size_bytes{application="prometheus-test",} 2.1193976E7	
# HELP system_load_average_1m The sum of the number of runnable entities queued to available processors and the number of runnable entities running on the available processors averaged over a period of time	
# TYPE system_load_average_1m gauge	
system_load_average_1m{application="prometheus-test",} 3.9423828125	
# HELP process_uptime_seconds The uptime of the Java virtual machine	
# TYPE process_uptime_seconds gauge	
process_uptime_seconds{application="prometheus-test",} 173.424	
# HELP tomcat_sessions_expired_sessions_total  	
# TYPE tomcat_sessions_expired_sessions_total counter	
tomcat_sessions_expired_sessions_total{application="prometheus-test",} 0.0	
# 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="prometheus-test",cause="Metadata GC Threshold",} 1.0	
jvm_gc_pause_seconds_sum{action="end of minor GC",application="prometheus-test",cause="Metadata GC Threshold",} 0.012	
jvm_gc_pause_seconds_count{action="end of major GC",application="prometheus-test",cause="Metadata GC Threshold",} 1.0	
jvm_gc_pause_seconds_sum{action="end of major GC",application="prometheus-test",cause="Metadata GC Threshold",} 0.045	
# 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="prometheus-test",cause="Metadata GC Threshold",} 0.012	
jvm_gc_pause_seconds_max{action="end of major GC",application="prometheus-test",cause="Metadata GC Threshold",} 0.045	
# HELP jvm_gc_memory_promoted_bytes_total Count of positive increases in the size of the old generation memory pool before GC to after GC	
# TYPE jvm_gc_memory_promoted_bytes_total counter	
jvm_gc_memory_promoted_bytes_total{application="prometheus-test",} 1.06878E7	
# HELP jvm_gc_memory_allocated_bytes_total Incremented for an increase in the size of the young generation memory pool after one GC to before the next	
# TYPE jvm_gc_memory_allocated_bytes_total counter	
jvm_gc_memory_allocated_bytes_total{application="prometheus-test",} 7.8713648E7	
# HELP tomcat_global_request_seconds  	
# TYPE tomcat_global_request_seconds summary	
tomcat_global_request_seconds_count{application="prometheus-test",name="http-nio-8080",} 19.0	
tomcat_global_request_seconds_sum{application="prometheus-test",name="http-nio-8080",} 0.432	
# HELP jvm_threads_live_threads The current number of live threads including both daemon and non-daemon threads	
# TYPE jvm_threads_live_threads gauge	
jvm_threads_live_threads{application="prometheus-test",} 24.0	
# HELP jvm_buffer_count_buffers An estimate of the number of buffers in the pool	
# TYPE jvm_buffer_count_buffers gauge	
jvm_buffer_count_buffers{application="prometheus-test",id="mapped",} 0.0	
jvm_buffer_count_buffers{application="prometheus-test",id="direct",} 11.0	
# HELP process_start_time_seconds Start time of the process since unix epoch.	
# TYPE process_start_time_seconds gauge	
process_start_time_seconds{application="prometheus-test",} 1.556017153576E9	
# HELP tomcat_threads_config_max_threads  	
# TYPE tomcat_threads_config_max_threads gauge	
tomcat_threads_config_max_threads{application="prometheus-test",name="http-nio-8080",} 200.0	
# HELP system_cpu_count The number of processors available to the Java virtual machine	
# TYPE system_cpu_count gauge	
system_cpu_count{application="prometheus-test",} 8.0	
# HELP tomcat_threads_current_threads  	
# TYPE tomcat_threads_current_threads gauge	
tomcat_threads_current_threads{application="prometheus-test",name="http-nio-8080",} 10.0	
# HELP jvm_memory_max_bytes The maximum amount of memory in bytes that can be used for memory management	
# TYPE jvm_memory_max_bytes gauge	
jvm_memory_max_bytes{application="prometheus-test",area="heap",id="PS Old Gen",} 2.863661056E9	
jvm_memory_max_bytes{application="prometheus-test",area="nonheap",id="Metaspace",} -1.0	
jvm_memory_max_bytes{application="prometheus-test",area="heap",id="PS Survivor Space",} 1.6252928E7	
jvm_memory_max_bytes{application="prometheus-test",area="nonheap",id="Compressed Class Space",} 1.073741824E9	
jvm_memory_max_bytes{application="prometheus-test",area="heap",id="PS Eden Space",} 1.395654656E9	
jvm_memory_max_bytes{application="prometheus-test",area="nonheap",id="Code Cache",} 2.5165824E8	
# HELP jvm_threads_peak_threads The peak live thread count since the Java virtual machine started or peak was reset	
# TYPE jvm_threads_peak_threads gauge	
jvm_threads_peak_threads{application="prometheus-test",} 29.0	
# HELP jvm_classes_loaded_classes The number of classes that are currently loaded in the Java virtual machine	
# TYPE jvm_classes_loaded_classes gauge	
jvm_classes_loaded_classes{application="prometheus-test",} 7936.0	
# HELP tomcat_sessions_active_max_sessions  	
# TYPE tomcat_sessions_active_max_sessions gauge	
tomcat_sessions_active_max_sessions{application="prometheus-test",} 0.0	
# HELP tomcat_global_request_max_seconds  	
# TYPE tomcat_global_request_max_seconds gauge	
tomcat_global_request_max_seconds{application="prometheus-test",name="http-nio-8080",} 0.161	
# HELP tomcat_sessions_created_sessions_total  	
# TYPE tomcat_sessions_created_sessions_total counter	
tomcat_sessions_created_sessions_total{application="prometheus-test",} 0.0	
# HELP tomcat_sessions_rejected_sessions_total  	
# TYPE tomcat_sessions_rejected_sessions_total counter	
tomcat_sessions_rejected_sessions_total{application="prometheus-test",} 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="prometheus-test",id="mapped",} 0.0	
jvm_buffer_total_capacity_bytes{application="prometheus-test",id="direct",} 90112.0	
# HELP system_cpu_usage The "recent cpu usage" for the whole system	
# TYPE system_cpu_usage gauge	
system_cpu_usage{application="prometheus-test",} 0.2523364485981308

该端点返回的数据结构是Prometheus需要使用的。对照注释，相信大家能看懂每一项的含义。例如：

# HELP jvm_memory_used_bytes The amount of used memory	
# TYPE jvm_memory_used_bytes gauge	
jvm_memory_used_bytes{application="prometheus-test",area="heap",id="PS Old Gen",} 2.1193976E7

表示：prometheus-test 应用堆内存中的 PS Old Gen 区域占用的空间是 2.1193976E7字节。

对接Prometheus

Prometheus是一款开源的监控 + 时序数据库 + 报警软件，由SoundCloud公司开发的。目前在CNCF基金会托管，并已成功孵化。

官方网站

•Prometheus官方网站^[18]•Prometheus GitHub^[19]

安装Prometheus

TIPS
简单期间，本文使用Docker方式安装，其他方式安装请详见 Prometheus安装说明^[20]。

1 准备配置文件，命名为prometheus.yml

scrape_configs:	
# 任意写，建议英文，不要包含特殊字符	
- job_name: 'spring'	
  # 多久采集一次数据	
  scrape_interval: 15s	
  # 采集时的超时时间	
  scrape_timeout: 10s	
  # 采集的路径是啥	
  metrics_path: '/actuator/prometheus'	
  # 采集服务的地址，设置成上面Spring Boot应用所在服务器的具体地址。	
  static_configs:	
  - targets: ['30.1.229.89:8080']

这样配置后，Prometheus服务器就会自动每隔15秒请求 http://30.1.229.89:8080/actuator/prometheus 。更多配置项详见 Prometheus Configuration官方文档^[21]

2 在prometheus.yml 文件所在目录执行如下命令，即可启动Prometheus

docker run -d -p 9090:9090 	
    -v $(pwd)/prometheus.yml:/etc/prometheus/prometheus.yml 	
    prom/prometheus --config.file=/etc/prometheus/prometheus.yml

测试

1 访问http://localhost:9090 ，可看到类似如下的界面

640?wx_fmt=png

2 点击 Insert metric at cursor ，即可选择监控指标；点击 Graph ，即可让指标以图表方式展示；点击Execute 按钮，即可看到类似下图的结果：

640?wx_fmt=png

Grafana可视化

至此，已经用Prometheus实现了监控数据的可视化，然而使用体验并不好。下面来用Grafana实现更友好、更贴近生产的监控可视化。

Grafana是一个开源的跨平台度量分析和可视化 + 告警工具。

官方网站

•Grafana官方网站^[22]•Grafana GitHub^[23]

安装Grafana

TIPS
简单期间，本文使用Docker方式安装，其他方式安装请详见 Grafana安装说明^[24] 。

启动

docker run -d -p 3000:3000 grafana/grafana

配置

1 登录：访问 http://localhost:3000/login ，初始账号/密码为：admin/admin ，登录后，即可看到类似如下的界面

640?wx_fmt=png

2 点击Add data source ，即可看到类似如下的界面：

640?wx_fmt=png

3 点击Prometheus，即可看到类似如下界面：

640?wx_fmt=png

4 填写Prometheus的首页地址，并点击 Save & Test

创建监控Dashboard

1 点击导航栏上的 + 按钮，并点击Dashboard，将会看到类似如下的界面： 640?wx_fmt=png

2 点击 Add Query ，即可看到类似如下的界面：

640?wx_fmt=png

在白框标记的位置输入指标，指标的取值详见Spring Boot应用的 /actuator/prometheus 端点，例如jvm_memory_used_bytes 、jvm_threads_states_threads、jvm_threads_live_threads 等，Grafana会给你较好的提示，并且支持较为复杂的计算，例如聚合、求和、平均等。如果想要绘制多个线条，可点击Add Query 按钮，如上图所示，笔者为图表绘制了两条线，分别代表daemon以及peak线程。

3 点击下图的按钮，并填入Title，即可设置图表标题。

640?wx_fmt=png

4 按下图步骤操作，即可为Dashboard添加新的图表。

640?wx_fmt=png

Dashboard市场

至此，已可用Grafana实现较为丰富的图表展示——可将关心的监控指标放置到Dashboard上，并且非常灵活！然而，这个配置的操作虽然不难，但还是挺费时间的……

那么是否有配置好的又强大、又通用、拿来即用的Dashboard呢？答案是肯定的！前往 Grafana Lab - Dashboards^[25] ，输入关键词即可搜索指定Dashboard。

640?wx_fmt=png

如上图所示，可以找到若干款以 Prometheus 作为数据源，支持Micrometer的Dashboard！下面，来演示如何使用 JVM(Micrometer) 这个Dashboard。

其他Dashboard使用方式大同小异，建议使用前先点击了解下详情，一般Dashboard中都会有说明。

1 点击 JVM(Micrometer) 进入Dashboard详情介绍页，如下图所示：

640?wx_fmt=png

如图已详细描述了该Dashboard的特性、配置。其中的management.metrics.tags.application ，前面已经配置过了；本例也不打算演示 Process memory 特性，所以 micrometer-jvm-extras 怎么用也不打算引入了(这是该Dashboard作者为Micrometer提供的增强包，有兴趣的童鞋可自行点击过去研究)。

细心的童鞋会发现，该页的右上角有个 4701 这是一个非常重要的数字！

2 访问http://localhost:3000 ，按下图步骤操作：

640?wx_fmt=png

3 输入后即可看到类似如下的界面，选择数据源，并点击Import。

640?wx_fmt=png

4 此时，即可看到类似如下的界面，如图所示，我们常关心的指标该Dashboard均已支持！

640?wx_fmt=png

比较好用的Dashboard

•JVM (Micrometer)^[26]•JVM (Actuator)^[27]•Spring Boot Statistics^[28] ，注：该Dashboard可能有Bug，笔者未能直接测试成功，做了一些改动后才能正常显示。

以上三款是笔者亲测较为全面、好用的Dashboard，仅供参考。

告警

Grafana支持的告警渠道非常丰富，例如邮件、钉钉、Slack、Webhook等，非常实用！比较简单，各位看官自行研究下吧。

配套代码

•GitHub^[29]•Gitee^[30]

其中 prometheus+grafana 目录已提供Docker一键部署Prometheus + Grafana的Shell

References

[1] AppOptics: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-appoptics[2] Atlas: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-atlas[3] Datadog: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-datadog[4] Dynatrace: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-dynatrace[5] Elastic: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-elastic[6] Ganglia: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-ganglia[7] Graphite: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-graphite[8] Humio: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-humio[9] Influx: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-influx[10] JMX: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-jmx[11] KairosDB: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-kairos[12] New Relic: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-newrelic[13] Prometheus: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-prometheus[14] SignalFx: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-signalfx[15] Simple (in-memory): https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-simple[16] StatsD: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-statsd[17] Wavefront: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-wavefront[18] Prometheus官方网站: https://prometheus.io/[19] Prometheus GitHub: https://github.com/prometheus[20] Prometheus安装说明: https://prometheus.io/docs/prometheus/latest/installation/[21] Prometheus Configuration官方文档: https://prometheus.io/docs/prometheus/latest/configuration/configuration/[22] Grafana官方网站: https://grafana.com/[23] Grafana GitHub: https://github.com/grafana/grafana[24] Grafana安装说明: https://grafana.com/docs/installation/[25] Grafana Lab - Dashboards: https://grafana.com/dashboards[26] JVM (Micrometer): https://grafana.com/dashboards/4701[27] JVM (Actuator): https://grafana.com/dashboards/9568[28] Spring Boot Statistics: https://grafana.com/dashboards/6756[29] GitHub: https://github.com/eacdy/spring-boot-study/tree/master/spring-boot-actuator-prometheus-grafana[30] Gitee: https://gitee.com/itmuch/spring-boot-study/tree/master/spring-boot-actuator-prometheus-grafana

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发表于 2020-03-01 22:46:08
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分类：Go入门教程