Spring Boot 2.x监控数据可视化(Actuator Prometheus Grafana手把手)

清疚 2023-06-12 08:42 35阅读 0赞

> **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][]
 *  [Atlas][]
 *  [Datadog][]
 *  [Dynatrace][]
 *  [Elastic][]
 *  [Ganglia][]
 *  [Graphite][]
 *  [Humio][]
 *  [Influx][]
 *  [JMX][]
 *  [KairosDB][]
 *  [New Relic][]
 *  [Prometheus][]
 *  [SignalFx][]
 *  [Simple (in-memory)][Simple _in-memory]
 *  [StatsD][]
 *  [Wavefront][]

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 ###

*  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` 。

*  写配置

server:  port: 8080spring:  application:    name: prometheus-testmanagement:  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 ###

*  启动应用
 *  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 gaugejvm_memory_used_bytes{application="prometheus-test",area="heap",id="PS Old Gen",} 2.1193976E7jvm_memory_used_bytes{application="prometheus-test",area="nonheap",id="Metaspace",} 3.8791688E7jvm_memory_used_bytes{application="prometheus-test",area="heap",id="PS Survivor Space",} 0.0jvm_memory_used_bytes{application="prometheus-test",area="nonheap",id="Compressed Class Space",} 5303976.0jvm_memory_used_bytes{application="prometheus-test",area="heap",id="PS Eden Space",} 8.2574816E7jvm_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 countertomcat_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 gaugejvm_threads_daemon_threads{application="prometheus-test",} 20.0# HELP tomcat_sessions_alive_max_seconds  # TYPE tomcat_sessions_alive_max_seconds gaugetomcat_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 gaugejvm_buffer_memory_used_bytes{application="prometheus-test",id="mapped",} 0.0jvm_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 gaugejvm_threads_states_threads{application="prometheus-test",state="runnable",} 9.0jvm_threads_states_threads{application="prometheus-test",state="new",} 0.0jvm_threads_states_threads{application="prometheus-test",state="terminated",} 0.0jvm_threads_states_threads{application="prometheus-test",state="blocked",} 0.0jvm_threads_states_threads{application="prometheus-test",state="waiting",} 12.0jvm_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 gaugeprocess_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 counterlogback_events_total{application="prometheus-test",level="info",} 7.0logback_events_total{application="prometheus-test",level="warn",} 0.0logback_events_total{application="prometheus-test",level="trace",} 0.0logback_events_total{application="prometheus-test",level="debug",} 0.0logback_events_total{application="prometheus-test",level="error",} 0.0# HELP tomcat_global_sent_bytes_total  # TYPE tomcat_global_sent_bytes_total countertomcat_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 gaugeprocess_files_max_files{application="prometheus-test",} 10240.0# HELP tomcat_threads_busy_threads  # TYPE tomcat_threads_busy_threads gaugetomcat_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 gaugeprocess_files_open_files{application="prometheus-test",} 101.0# HELP tomcat_sessions_active_current_sessions  # TYPE tomcat_sessions_active_current_sessions gaugetomcat_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 counterjvm_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 gaugejvm_memory_committed_bytes{application="prometheus-test",area="heap",id="PS Old Gen",} 1.5466496E8jvm_memory_committed_bytes{application="prometheus-test",area="nonheap",id="Metaspace",} 4.1418752E7jvm_memory_committed_bytes{application="prometheus-test",area="heap",id="PS Survivor Space",} 1.6252928E7jvm_memory_committed_bytes{application="prometheus-test",area="nonheap",id="Compressed Class Space",} 5767168.0jvm_memory_committed_bytes{application="prometheus-test",area="heap",id="PS Eden Space",} 1.73539328E8jvm_memory_committed_bytes{application="prometheus-test",area="nonheap",id="Code Cache",} 8716288.0# HELP http_server_requests_seconds  # TYPE http_server_requests_seconds summaryhttp_server_requests_seconds_count{application="prometheus-test",exception="None",method="GET",outcome="SUCCESS",status="200",uri="/actuator/prometheus",} 16.0http_server_requests_seconds_sum{application="prometheus-test",exception="None",method="GET",outcome="SUCCESS",status="200",uri="/actuator/prometheus",} 0.326299973http_server_requests_seconds_count{application="prometheus-test",exception="None",method="GET",outcome="SUCCESS",status="200",uri="/**/favicon.ico",} 3.0http_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 gaugehttp_server_requests_seconds_max{application="prometheus-test",exception="None",method="GET",outcome="SUCCESS",status="200",uri="/actuator/prometheus",} 0.120627904http_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 countertomcat_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 gaugejvm_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 gaugejvm_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 gaugesystem_load_average_1m{application="prometheus-test",} 3.9423828125# HELP process_uptime_seconds The uptime of the Java virtual machine# TYPE process_uptime_seconds gaugeprocess_uptime_seconds{application="prometheus-test",} 173.424# HELP tomcat_sessions_expired_sessions_total  # TYPE tomcat_sessions_expired_sessions_total countertomcat_sessions_expired_sessions_total{application="prometheus-test",} 0.0# HELP jvm_gc_pause_seconds Time spent in GC pause# TYPE jvm_gc_pause_seconds summaryjvm_gc_pause_seconds_count{action="end of minor GC",application="prometheus-test",cause="Metadata GC Threshold",} 1.0jvm_gc_pause_seconds_sum{action="end of minor GC",application="prometheus-test",cause="Metadata GC Threshold",} 0.012jvm_gc_pause_seconds_count{action="end of major GC",application="prometheus-test",cause="Metadata GC Threshold",} 1.0jvm_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 gaugejvm_gc_pause_seconds_max{action="end of minor GC",application="prometheus-test",cause="Metadata GC Threshold",} 0.012jvm_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 counterjvm_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 counterjvm_gc_memory_allocated_bytes_total{application="prometheus-test",} 7.8713648E7# HELP tomcat_global_request_seconds  # TYPE tomcat_global_request_seconds summarytomcat_global_request_seconds_count{application="prometheus-test",name="http-nio-8080",} 19.0tomcat_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 gaugejvm_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 gaugejvm_buffer_count_buffers{application="prometheus-test",id="mapped",} 0.0jvm_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 gaugeprocess_start_time_seconds{application="prometheus-test",} 1.556017153576E9# HELP tomcat_threads_config_max_threads  # TYPE tomcat_threads_config_max_threads gaugetomcat_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 gaugesystem_cpu_count{application="prometheus-test",} 8.0# HELP tomcat_threads_current_threads  # TYPE tomcat_threads_current_threads gaugetomcat_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 gaugejvm_memory_max_bytes{application="prometheus-test",area="heap",id="PS Old Gen",} 2.863661056E9jvm_memory_max_bytes{application="prometheus-test",area="nonheap",id="Metaspace",} -1.0jvm_memory_max_bytes{application="prometheus-test",area="heap",id="PS Survivor Space",} 1.6252928E7jvm_memory_max_bytes{application="prometheus-test",area="nonheap",id="Compressed Class Space",} 1.073741824E9jvm_memory_max_bytes{application="prometheus-test",area="heap",id="PS Eden Space",} 1.395654656E9jvm_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 gaugejvm_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 gaugejvm_classes_loaded_classes{application="prometheus-test",} 7936.0# HELP tomcat_sessions_active_max_sessions  # TYPE tomcat_sessions_active_max_sessions gaugetomcat_sessions_active_max_sessions{application="prometheus-test",} 0.0# HELP tomcat_global_request_max_seconds  # TYPE tomcat_global_request_max_seconds gaugetomcat_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 countertomcat_sessions_created_sessions_total{application="prometheus-test",} 0.0# HELP tomcat_sessions_rejected_sessions_total  # TYPE tomcat_sessions_rejected_sessions_total countertomcat_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 gaugejvm_buffer_total_capacity_bytes{application="prometheus-test",id="mapped",} 0.0jvm_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 gaugesystem_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 gaugejvm_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][Prometheus 1]
 *  [Prometheus GitHub][]

### 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][Prometheus 2] 。

*  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][Prometheus Configuration]

*  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 ###

*  访问`http://localhost:9090` ，可看到类似如下的界面

![Prometheus-1][]

*  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：

![Prometheus-2][]

## 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][Grafana]
 *  [Grafana GitHub][]

### 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][Grafana 1] 。

*  启动

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

### 配置 ###

*  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

![Grafana-1][]

*  点击`Add data source` ，即可看到类似如下的界面：

![Grafana-2][]

*  点击Prometheus，即可看到类似如下界面：

![Grafana-3][]

*  填写Prometheus的首页地址，并点击 `Save & Test`

### 创建监控Dashboard ###

*  点击导航栏上的 `` 按钮，并点击Dashboard，将会看到类似如下的界面：![Grafana-4][]
 *  点击 `Add Query` ，即可看到类似如下的界面：

![Grafana-5][]

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。

*  点击下图的按钮，并填入Title，即可设置图表标题。

![Grafana-6][]

*  按下图步骤操作，即可为Dashboard添加新的图表。

![Grafana-7][]

### 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][] ，输入关键词即可搜索指定Dashboard。

![Grafana-8][]

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。

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

![Grafana-9][]

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！

*  访问`http://localhost:3000` ，按下图步骤操作：

![Grafana-10][]

*  输入后即可看到类似如下的界面，选择数据源，并点击Import。

![Grafana-11][]

*  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！

![Grafana-12][]

### 比较好用的Dashboard ###

*  [JVM (Micrometer)][JVM _Micrometer]
 *  [JVM (Actuator)][JVM _Actuator]
 *  [Spring Boot Statistics][] ，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][]
 *  [Gitee][]

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

[AppOptics]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-appoptics
[Atlas]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-atlas
[Datadog]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-datadog
[Dynatrace]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-dynatrace
[Elastic]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-elastic
[Ganglia]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-ganglia
[Graphite]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-graphite
[Humio]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-humio
[Influx]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-influx
[JMX]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-jmx
[KairosDB]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-kairos
[New Relic]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-newrelic
[Prometheus]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-prometheus
[SignalFx]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-signalfx
[Simple _in-memory]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-simple
[StatsD]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-statsd
[Wavefront]: https://docs.spring.io/spring-boot/docs/2.1.4.RELEASE/reference/htmlsingle/#production-ready-metrics-export-wavefront
[Prometheus 1]: https://prometheus.io/
[Prometheus GitHub]: https://github.com/prometheus
[Prometheus 2]: https://prometheus.io/docs/prometheus/latest/installation/
[Prometheus Configuration]: https://prometheus.io/docs/prometheus/latest/configuration/configuration/
[Prometheus-1]: https://img-blog.csdnimg.cn/20191111112530988.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW9rZWppbjUyMQ==,size_16,color_FFFFFF,t_70
[Prometheus-2]: https://img-blog.csdnimg.cn/20191111112545482.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW9rZWppbjUyMQ==,size_16,color_FFFFFF,t_70
[Grafana]: https://grafana.com/
[Grafana GitHub]: https://github.com/grafana/grafana
[Grafana 1]: https://grafana.com/docs/installation/
[Grafana-1]: https://img-blog.csdnimg.cn/20191111112549610.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW9rZWppbjUyMQ==,size_16,color_FFFFFF,t_70
[Grafana-2]: https://img-blog.csdnimg.cn/20191111112553366.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW9rZWppbjUyMQ==,size_16,color_FFFFFF,t_70
[Grafana-3]: https://img-blog.csdnimg.cn/20191111112555570.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW9rZWppbjUyMQ==,size_16,color_FFFFFF,t_70
[Grafana-4]: https://img-blog.csdnimg.cn/20191111112557887.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW9rZWppbjUyMQ==,size_16,color_FFFFFF,t_70
[Grafana-5]: https://img-blog.csdnimg.cn/20191111112605708.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW9rZWppbjUyMQ==,size_16,color_FFFFFF,t_70
[Grafana-6]: https://img-blog.csdnimg.cn/20191111112611862.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW9rZWppbjUyMQ==,size_16,color_FFFFFF,t_70
[Grafana-7]: https://img-blog.csdnimg.cn/20191111112616820.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW9rZWppbjUyMQ==,size_16,color_FFFFFF,t_70
[Grafana Lab - Dashboards]: https://grafana.com/dashboards
[Grafana-8]: https://img-blog.csdnimg.cn/20191111112624356.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW9rZWppbjUyMQ==,size_16,color_FFFFFF,t_70
[Grafana-9]: https://img-blog.csdnimg.cn/20191111112631219.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW9rZWppbjUyMQ==,size_16,color_FFFFFF,t_70
[Grafana-10]: https://img-blog.csdnimg.cn/20191111112636113.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW9rZWppbjUyMQ==,size_16,color_FFFFFF,t_70
[Grafana-11]: https://img-blog.csdnimg.cn/20191111112638371.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW9rZWppbjUyMQ==,size_16,color_FFFFFF,t_70
[Grafana-12]: https://img-blog.csdnimg.cn/20191111112648824.png?x-oss-process=image/watermark,type_ZmFuZ3poZW5naGVpdGk,shadow_10,text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3poYW9rZWppbjUyMQ==,size_16,color_FFFFFF,t_70
[JVM _Micrometer]: https://grafana.com/dashboards/4701
[JVM _Actuator]: https://grafana.com/dashboards/9568
[Spring Boot Statistics]: https://grafana.com/dashboards/6756
[GitHub]: https://github.com/eacdy/spring-boot-study/tree/master/spring-boot-actuator-prometheus-grafana
[Gitee]: https://gitee.com/itmuch/spring-boot-study/tree/master/spring-boot-actuator-prometheus-grafana