SpringBoot + Prometheus + Grafana 打造可视化监控

烟火缠过客2023-09-16 17:08

SpringBoot + Prometheus + Grafana 打造可视化监控

文章目录

常见的监控组件搭配

安装Prometheus

  • 本次使用的是windows版本进行学习测试
  • prometheus-2.46.0.windows-amd64

下载地址

解压后修改prometheus.yml文件，配置数据采集的目标信息

yaml 复制代码 
# 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'.
    # 暴露路径
    metrics_path: /actuator/prometheus
    
    static_configs:
      # SpringBoot的ip和端口
      - targets: ["localhost:10086"]

启动prometheus

prometheus.exe
prometheus.exe--config.file=prometheus.yml

访问promethus

http://localhost:9090/

要修改Prometheus的拉取数据时间为1秒，您需要调整Prometheus的配置文件中的以下两个参数：

  1. scrape_interval：这个参数指定了Prometheus拉取目标配置的时间间隔，单位为秒。您可以将该参数设置为1秒，以实现每秒拉取一次数据。
  2. scrape_timeout：这个参数指定了Prometheus拉取目标配置的超时时间，单位为秒。您需要将该参数设置为大于1秒的值，以确保Prometheus有足够的时间完成对目标配置的拉取。

以下是一个示例Prometheus配置文件（通常命名为prometheus.yml），其中将scrape_interval设置为1秒：

yaml 复制代码 
global:
  scrape_interval: 1s

scrape_configs:
  - job_name: 'example_job'
    scrape_interval: 1s
    scrape_timeout: 5s
    static_configs:
      - targets: ['example.com:8080']

在上述示例中，scrape_interval被设置为1秒，而scrape_timeout被设置为5秒。请根据您的实际需求进行调整。

请注意，将拉取时间间隔设置为非常短的时间可能会导致Prometheus对目标配置产生大量的请求，从而可能对目标应用程序造成负面影响。因此，在实际应用中，请根据目标应用程序的性能和可接受的网络负载进行适当的调整。

安装Grafana

下载地址

https://mirrors.huaweicloud.com/grafana/

  • grafana-enterprise-8.4.1.windows-amd64

解压后如图

启动grafana

双击:grafana-server.exe

访问grafana

默认账号:admin

默认密码:admin

登录地址

http://127.0.0.1:3000/login

搭建SpringBoot项目

引入依赖

xml 复制代码 
 <!--grafana+prometheus必须依赖  开始-->
        <!--springboot监控指标-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-actuator</artifactId>
        </dependency>
        <!--信息采集prometheus-->
        <dependency>
            <groupId>io.micrometer</groupId>
            <artifactId>micrometer-registry-prometheus</artifactId>
        </dependency>
        <!--主动上送metric-->
        <dependency>
            <groupId>io.prometheus</groupId>
            <artifactId>simpleclient_pushgateway</artifactId>
        </dependency>
        <!--grafana+prometheus必须依赖  结束-->

全部

xml 复制代码 
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.3.2.RELEASE</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>
    <groupId>com.kang</groupId>
    <artifactId>grafana-prometheus-springboot</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>grafana-prometheus-springboot</name>
    <description>grafana-prometheus-springboot</description>
    <properties>
        <java.version>1.8</java.version>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
            <exclusions>
                <exclusion>
                    <artifactId>HdrHistogram</artifactId>
                    <groupId>org.hdrhistogram</groupId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>

        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>

        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.75</version>
        </dependency>

        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-lang3</artifactId>
            <version>3.12.0</version>
        </dependency>

        <dependency>
            <groupId>org.hibernate</groupId>
            <artifactId>hibernate-validator</artifactId>
            <version>5.3.5.Final</version>
        </dependency>

        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>8.0.16</version>
        </dependency>

        <dependency>
            <groupId>com.zaxxer</groupId>
            <artifactId>HikariCP</artifactId>
            <version>3.4.0</version>
        </dependency>

        <!-- mybatis plus-->
        <dependency>
            <groupId>com.baomidou</groupId>
            <artifactId>mybatis-plus-boot-starter</artifactId>
            <version>3.2.0</version>
        </dependency>
        <!--代码生成器-->
        <dependency>
            <groupId>com.baomidou</groupId>
            <artifactId>mybatis-plus-generator</artifactId>
            <version>3.2.0</version>
        </dependency>
        <dependency>
            <groupId>org.freemarker</groupId>
            <artifactId>freemarker</artifactId>
            <version>2.3.28</version>
        </dependency>
        <!-- mybatis plus 代码生成器 -->

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter</artifactId>
        </dependency>

        <!--grafana+prometheus必须依赖  开始-->
        <!--springboot监控指标-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-actuator</artifactId>
        </dependency>
        <!--信息采集prometheus-->
        <dependency>
            <groupId>io.micrometer</groupId>
            <artifactId>micrometer-registry-prometheus</artifactId>
        </dependency>
        <!--主动上送metric-->
        <dependency>
            <groupId>io.prometheus</groupId>
            <artifactId>simpleclient_pushgateway</artifactId>
        </dependency>
        <!--grafana+prometheus必须依赖  结束-->
    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
                <configuration>
                    <excludes>
                        <exclude>
                            <groupId>org.projectlombok</groupId>
                            <artifactId>lombok</artifactId>
                        </exclude>
                    </excludes>
                </configuration>
            </plugin>
        </plugins>
    </build>

</project>

yaml配置

yaml 复制代码 
server:
  port: 10086
  tomcat:
    mbeanregistry:
      enabled: true
    max-connections: 150
    threads:
      max: 50
      min-spare: 15


# spring配置
spring:
  elasticsearch:
    uris: http://localhost:9200
  application:
    name: "grafana-prometheus-springboot"
  datasource:
    url: jdbc:mysql://localhost:3306/goods_system?useUnicode=true&characterEncoding=utf8&useSSL=false&serverTimezone=Asia/Shanghai
    username: root
    password: root
    driver-class-name: com.mysql.cj.jdbc.Driver
    hikari:
      connection-timeout: 1000          # 获取连接超时时间
      maximum-pool-size: 50             # 连接池中允许的最大连接数
      minimum-idle: 5                   # 连接池中保持的最小空闲连接数
      idle-timeout: 30000               # 连接在池中保持空闲的最大时间，超过该时间将被释放
      pool-name: grafana-hikari-pool    # 连接池的名称

mybatis-plus:
  configuration:
    map-underscore-to-camel-case: true
    auto-mapping-behavior: full
    log-impl: org.apache.ibatis.logging.stdout.StdOutImpl
    default-statement-timeout: 1
  mapper-locations: classpath*:mapper/**/*Mapper.xml
  global-config:
    db-config:
      logic-not-delete-value: 1
      logic-delete-value: 0


# prometheus相关监控配置
management:
  metrics:
    export:
      prometheus:
        enabled: true
        step: 1m
        descriptions: true
  web:
    server:
      auto-time-requests: true
  endpoints:
    prometheus:
      id: springmetrics
    web:
      exposure:  # 开放哪些指标端点
        include: health,info,env,prometheus,metrics,httptrace,threaddump,heapdump,springmetrics,hikaricp,*
  endpoint:
    metrics:
      enabled: true

结构图

示例:监控SpringBoot内置Tomcat线程池的情况

配置

yaml 复制代码 
server:
  port: 10086
  tomcat:
    mbeanregistry:
      enabled: true
    max-connections: 150
    threads:
      max: 50
      min-spare: 15
# prometheus相关监控配置
management:
  metrics:
    export:
      prometheus:
        enabled: true
        step: 1m
        descriptions: true
  web:
    server:
      auto-time-requests: true
  endpoints:
    prometheus:
      id: springmetrics
    web:
      exposure:  # 开放哪些指标端点
        include: health,info,env,prometheus,metrics,httptrace,threaddump,heapdump,springmetrics,hikaricp,*
  endpoint:
    metrics:
      enabled: true

访问/actuator/prometheus

http://localhost:10086/actuator/prometheus

# HELP tomcat_global_sent_bytes_total  
# TYPE tomcat_global_sent_bytes_total counter
tomcat_global_sent_bytes_total{name="http-nio-10086",} 653223.0
# HELP hikaricp_connections_idle Idle connections
# TYPE hikaricp_connections_idle gauge
hikaricp_connections_idle{pool="grafana-hikari-pool",} 47.0
# HELP tomcat_global_error_total  
# TYPE tomcat_global_error_total counter
tomcat_global_error_total{name="http-nio-10086",} 0.0
# HELP tomcat_servlet_request_seconds  
# TYPE tomcat_servlet_request_seconds summary
tomcat_servlet_request_seconds_count{name="dispatcherServlet",} 2029.0
tomcat_servlet_request_seconds_sum{name="dispatcherServlet",} 77.433
# HELP system_cpu_count The number of processors available to the Java virtual machine
# TYPE system_cpu_count gauge
system_cpu_count 12.0
# 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 124.0
# HELP hikaricp_connections_timeout_total Connection timeout total count
# TYPE hikaricp_connections_timeout_total counter
hikaricp_connections_timeout_total{pool="grafana-hikari-pool",} 0.0
# HELP tomcat_threads_config_max_threads  
# TYPE tomcat_threads_config_max_threads gauge
tomcat_threads_config_max_threads{name="http-nio-10086",} 50.0
# HELP process_cpu_usage The "recent cpu usage" for the Java Virtual Machine process
# TYPE process_cpu_usage gauge
process_cpu_usage 8.347234082417593E-4
# HELP hikaricp_connections_max Max connections
# TYPE hikaricp_connections_max gauge
hikaricp_connections_max{pool="grafana-hikari-pool",} 50.0
# 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 10820.0
# HELP tomcat_sessions_active_max_sessions  
# TYPE tomcat_sessions_active_max_sessions gauge
tomcat_sessions_active_max_sessions 0.0
# HELP jdbc_connections_min Minimum number of idle connections in the pool.
# TYPE jdbc_connections_min gauge
jdbc_connections_min{name="dataSource",} 5.0
# HELP hikaricp_connections_pending Pending threads
# TYPE hikaricp_connections_pending gauge
hikaricp_connections_pending{pool="grafana-hikari-pool",} 0.0
# HELP tomcat_sessions_rejected_sessions_total  
# TYPE tomcat_sessions_rejected_sessions_total counter
tomcat_sessions_rejected_sessions_total 0.0
# HELP tomcat_global_request_seconds  
# TYPE tomcat_global_request_seconds summary
tomcat_global_request_seconds_count{name="http-nio-10086",} 2028.0
tomcat_global_request_seconds_sum{name="http-nio-10086",} 80.738
# 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 2.751463424E9
# HELP jvm_gc_pause_seconds Time spent in GC pause
# TYPE jvm_gc_pause_seconds summary
jvm_gc_pause_seconds_count{action="end of major GC",cause="Metadata GC Threshold",} 1.0
jvm_gc_pause_seconds_sum{action="end of major GC",cause="Metadata GC Threshold",} 0.033
jvm_gc_pause_seconds_count{action="end of minor GC",cause="Metadata GC Threshold",} 1.0
jvm_gc_pause_seconds_sum{action="end of minor GC",cause="Metadata GC Threshold",} 0.005
jvm_gc_pause_seconds_count{action="end of minor GC",cause="Allocation Failure",} 3.0
jvm_gc_pause_seconds_sum{action="end of minor GC",cause="Allocation Failure",} 0.037
# 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 major GC",cause="Metadata GC Threshold",} 0.0
jvm_gc_pause_seconds_max{action="end of minor GC",cause="Metadata GC Threshold",} 0.0
jvm_gc_pause_seconds_max{action="end of minor GC",cause="Allocation Failure",} 0.02
# HELP tomcat_sessions_active_current_sessions  
# TYPE tomcat_sessions_active_current_sessions gauge
tomcat_sessions_active_current_sessions 0.0
# HELP tomcat_sessions_alive_max_seconds  
# TYPE tomcat_sessions_alive_max_seconds gauge
tomcat_sessions_alive_max_seconds 0.0
# HELP hikaricp_connections_min Min connections
# TYPE hikaricp_connections_min gauge
hikaricp_connections_min{pool="grafana-hikari-pool",} 5.0
# HELP tomcat_threads_current_threads  
# TYPE tomcat_threads_current_threads gauge
tomcat_threads_current_threads{name="http-nio-10086",} 50.0
# 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{area="heap",id="PS Survivor Space",} 1.6252928E7
jvm_memory_max_bytes{area="heap",id="PS Old Gen",} 2.751463424E9
jvm_memory_max_bytes{area="heap",id="PS Eden Space",} 1.336410112E9
jvm_memory_max_bytes{area="nonheap",id="Metaspace",} -1.0
jvm_memory_max_bytes{area="nonheap",id="Code Cache",} 2.5165824E8
jvm_memory_max_bytes{area="nonheap",id="Compressed Class Space",} 1.073741824E9
# HELP tomcat_servlet_error_total  
# TYPE tomcat_servlet_error_total counter
tomcat_servlet_error_total{name="dispatcherServlet",} 0.0
# HELP jvm_threads_daemon_threads The current number of live daemon threads
# TYPE jvm_threads_daemon_threads gauge
jvm_threads_daemon_threads 107.0
# HELP jvm_memory_used_bytes The amount of used memory
# TYPE jvm_memory_used_bytes gauge
jvm_memory_used_bytes{area="heap",id="PS Survivor Space",} 1.6238736E7
jvm_memory_used_bytes{area="heap",id="PS Old Gen",} 2.7538488E7
jvm_memory_used_bytes{area="heap",id="PS Eden Space",} 2.36629096E8
jvm_memory_used_bytes{area="nonheap",id="Metaspace",} 5.5265272E7
jvm_memory_used_bytes{area="nonheap",id="Code Cache",} 1.5770176E7
jvm_memory_used_bytes{area="nonheap",id="Compressed Class Space",} 7257680.0
# HELP tomcat_thread_pool_info tomcat_thread_pool_info
# TYPE tomcat_thread_pool_info gauge
# HELP tomcat_global_request_max_seconds  
# TYPE tomcat_global_request_max_seconds gauge
tomcat_global_request_max_seconds{name="http-nio-10086",} 1.325
# HELP process_uptime_seconds The uptime of the Java virtual machine
# TYPE process_uptime_seconds gauge
process_uptime_seconds 414.56
# HELP system_cpu_usage The "recent cpu usage" for the whole system
# TYPE system_cpu_usage gauge
system_cpu_usage 0.15617296080373955
# HELP tomcat_sessions_expired_sessions_total  
# TYPE tomcat_sessions_expired_sessions_total counter
tomcat_sessions_expired_sessions_total 0.0
# HELP tomcat_servlet_request_max_seconds  
# TYPE tomcat_servlet_request_max_seconds gauge
tomcat_servlet_request_max_seconds{name="dispatcherServlet",} 1.292
# 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{id="direct",} 53.0
jvm_buffer_count_buffers{id="mapped",} 0.0
# HELP jvm_threads_states_threads The current number of threads having NEW state
# TYPE jvm_threads_states_threads gauge
jvm_threads_states_threads{state="runnable",} 21.0
jvm_threads_states_threads{state="blocked",} 0.0
jvm_threads_states_threads{state="waiting",} 49.0
jvm_threads_states_threads{state="timed-waiting",} 54.0
jvm_threads_states_threads{state="new",} 0.0
jvm_threads_states_threads{state="terminated",} 0.0
# HELP tomcat_cache_access_total  
# TYPE tomcat_cache_access_total counter
tomcat_cache_access_total 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{id="direct",} 421904.0
jvm_buffer_total_capacity_bytes{id="mapped",} 0.0
# 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 1.49782E7
# 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{area="heap",id="PS Survivor Space",} 1.6252928E7
jvm_memory_committed_bytes{area="heap",id="PS Old Gen",} 1.27401984E8
jvm_memory_committed_bytes{area="heap",id="PS Eden Space",} 2.69484032E8
jvm_memory_committed_bytes{area="nonheap",id="Metaspace",} 6.0342272E7
jvm_memory_committed_bytes{area="nonheap",id="Code Cache",} 1.5794176E7
jvm_memory_committed_bytes{area="nonheap",id="Compressed Class Space",} 8175616.0
# HELP tomcat_threads_busy_threads  
# TYPE tomcat_threads_busy_threads gauge
tomcat_threads_busy_threads{name="http-nio-10086",} 1.0
# HELP tomcat_cache_hit_total  
# TYPE tomcat_cache_hit_total counter
tomcat_cache_hit_total 0.0
# 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 5.43316024E8
# 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 2.0
# HELP hikaricp_connections_usage_seconds Connection usage time
# TYPE hikaricp_connections_usage_seconds summary
hikaricp_connections_usage_seconds_count{pool="grafana-hikari-pool",} 2002.0
hikaricp_connections_usage_seconds_sum{pool="grafana-hikari-pool",} 40.873
# HELP hikaricp_connections_usage_seconds_max Connection usage time
# TYPE hikaricp_connections_usage_seconds_max gauge
hikaricp_connections_usage_seconds_max{pool="grafana-hikari-pool",} 0.306
# HELP http_server_requests_seconds  
# TYPE http_server_requests_seconds summary
http_server_requests_seconds_count{exception="None",method="GET",outcome="SUCCESS",status="200",uri="/actuator/prometheus",} 28.0
http_server_requests_seconds_sum{exception="None",method="GET",outcome="SUCCESS",status="200",uri="/actuator/prometheus",} 4.8066835
http_server_requests_seconds_count{exception="None",method="GET",outcome="SUCCESS",status="200",uri="/user/test",} 2000.0
http_server_requests_seconds_sum{exception="None",method="GET",outcome="SUCCESS",status="200",uri="/user/test",} 74.450206
# HELP http_server_requests_seconds_max  
# TYPE http_server_requests_seconds_max gauge
http_server_requests_seconds_max{exception="None",method="GET",outcome="SUCCESS",status="200",uri="/actuator/prometheus",} 0.1568263
http_server_requests_seconds_max{exception="None",method="GET",outcome="SUCCESS",status="200",uri="/user/test",} 0.5168904
# HELP tomcat_sessions_created_sessions_total  
# TYPE tomcat_sessions_created_sessions_total counter
tomcat_sessions_created_sessions_total 0.0
# HELP hikaricp_connections_acquire_seconds Connection acquire time
# TYPE hikaricp_connections_acquire_seconds summary
hikaricp_connections_acquire_seconds_count{pool="grafana-hikari-pool",} 2002.0
hikaricp_connections_acquire_seconds_sum{pool="grafana-hikari-pool",} 9.510603
# HELP hikaricp_connections_acquire_seconds_max Connection acquire time
# TYPE hikaricp_connections_acquire_seconds_max gauge
hikaricp_connections_acquire_seconds_max{pool="grafana-hikari-pool",} 0.3078482
# 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{id="direct",} 421904.0
jvm_buffer_memory_used_bytes{id="mapped",} 0.0
# 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 1.8795408E7
# HELP tomcat_global_received_bytes_total  
# TYPE tomcat_global_received_bytes_total counter
tomcat_global_received_bytes_total{name="http-nio-10086",} 0.0
# HELP hikaricp_connections Total connections
# TYPE hikaricp_connections gauge
hikaricp_connections{pool="grafana-hikari-pool",} 47.0
# HELP hikaricp_connections_creation_seconds_max Connection creation time
# TYPE hikaricp_connections_creation_seconds_max gauge
hikaricp_connections_creation_seconds_max{pool="grafana-hikari-pool",} 0.038
# HELP hikaricp_connections_creation_seconds Connection creation time
# TYPE hikaricp_connections_creation_seconds summary
hikaricp_connections_creation_seconds_count{pool="grafana-hikari-pool",} 46.0
hikaricp_connections_creation_seconds_sum{pool="grafana-hikari-pool",} 0.479
# HELP hikaricp_connections_active Active connections
# TYPE hikaricp_connections_active gauge
hikaricp_connections_active{pool="grafana-hikari-pool",} 0.0
# HELP jdbc_connections_max Maximum number of active connections that can be allocated at the same time.
# TYPE jdbc_connections_max gauge
jdbc_connections_max{name="dataSource",} 50.0
# HELP process_start_time_seconds Start time of the process since unix epoch.
# TYPE process_start_time_seconds gauge
process_start_time_seconds 1.693547474058E9
# 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 125.0
# HELP logback_events_total Number of error level events that made it to the logs
# TYPE logback_events_total counter
logback_events_total{level="warn",} 5.0
logback_events_total{level="debug",} 0.0
logback_events_total{level="error",} 0.0
logback_events_total{level="trace",} 0.0
logback_events_total{level="info",} 16.0

prometheus的管理页面

http://localhost:9090/

grafana创建监控看板

数据源创建好之后就可以创建监控看板了dashboard

这是自己创建好的一个例子

  • 根据自己的场景选择合适的监控图标，能更好的展示我们监控的指标

后台SpringBoot服务添加自定义监控数据,上送给prometheus

依赖

xml 复制代码 
        <!--grafana+prometheus必须依赖  开始-->
        <!--springboot监控指标-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-actuator</artifactId>
        </dependency>
        <!--信息采集prometheus-->
        <dependency>
            <groupId>io.micrometer</groupId>
            <artifactId>micrometer-registry-prometheus</artifactId>
        </dependency>
        <!--主动上送metric-->
        <dependency>
            <groupId>io.prometheus</groupId>
            <artifactId>simpleclient_pushgateway</artifactId>
        </dependency>
        <!--grafana+prometheus必须依赖  结束-->

注册监控点

java 复制代码 
package com.kang.grafana.monitor;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import com.alibaba.fastjson.serializer.SerializerFeature;
import io.micrometer.prometheus.PrometheusMeterRegistry;
import io.prometheus.client.CollectorRegistry;
import io.prometheus.client.Gauge;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.web.embedded.tomcat.TomcatWebServer;
import org.springframework.boot.web.servlet.context.ServletWebServerApplicationContext;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

import javax.annotation.PostConstruct;
import javax.annotation.PreDestroy;
import java.util.concurrent.Executor;

/**
 * @Author Emperor Kang
 * @ClassName PrometheusMetricMonitor
 * @Description prometheus监控类
 * @Date 2023/8/31 15:51
 * @Version 1.0
 * @Motto 让营地比你来时更干净
 */
@Slf4j
@Configuration
public class PrometheusMetricMonitor {
    @Autowired
    ServletWebServerApplicationContext applicationContext;

    @Autowired
    private PrometheusMeterRegistry prometheusMeterRegistry;

    @Bean
    public Gauge gauge(){
        Gauge gauge = Gauge.build()
                .name("tomcat_thread_pool_info")
                .labelNames("attributeDescription")
                .help("tomcat_thread_pool_info")
                .register();
        CollectorRegistry prometheusRegistry = prometheusMeterRegistry.getPrometheusRegistry();
        prometheusRegistry.register(gauge);
        return gauge;
    }


    @PostConstruct
    public void initialize(){
        log.info("开始执行initialize方法");
        log.info("initialize执行成功");
    }

    @PreDestroy
    public void preDestroy(){
        log.info("开始执行preDestroy方法");
    }
}

每次调用去上送自己的实时数据

java 复制代码 
package com.kang.grafana.monitor;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import com.alibaba.fastjson.serializer.SerializerFeature;
import io.prometheus.client.Gauge;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.web.embedded.tomcat.TomcatWebServer;
import org.springframework.boot.web.servlet.context.ServletWebServerApplicationContext;
import org.springframework.stereotype.Component;

import java.util.concurrent.Executor;

/**
 * @Author Emperor Kang
 * @ClassName PrometheusUtil
 * @Description TODO
 * @Date 2023/9/4 18:43
 * @Version 1.0
 * @Motto 让营地比你来时更干净
 */
@Component
public class PrometheusUtil {
    @Autowired
    ServletWebServerApplicationContext applicationContext;

    @Autowired
    private Gauge gauge;

    /**
     * 上送数据
     */
    public void pullGateWay() {
        Executor executor = ((TomcatWebServer) applicationContext.getWebServer()).getTomcat().getConnector().getProtocolHandler().getExecutor();
        // 获取内置tomcat的线程池情况
        String executorInfo = JSON.toJSONString(executor, SerializerFeature.WriteMapNullValue);
        JSONObject tomcatThreadPoolInfo = JSON.parseObject(executorInfo);
        gauge.labels("activeCount").set(tomcatThreadPoolInfo.getLong("activeCount"));
        gauge.labels("largestPoolSize").set(tomcatThreadPoolInfo.getLong("largestPoolSize"));
        gauge.labels("poolSize").set(tomcatThreadPoolInfo.getLong("poolSize"));
        gauge.labels("taskCount").set(tomcatThreadPoolInfo.getLong("taskCount"));
        gauge.labels("corePoolSize").set(tomcatThreadPoolInfo.getLong("corePoolSize"));
        gauge.labels("submittedCount").set(tomcatThreadPoolInfo.getLong("submittedCount"));
        gauge.labels("completedTaskCount").set(tomcatThreadPoolInfo.getLong("completedTaskCount"));
        gauge.labels("maximumPoolSize").set(tomcatThreadPoolInfo.getLong("maximumPoolSize"));
        gauge.labels("queue").set(tomcatThreadPoolInfo.getObject("queue", JSONArray.class).size());
        gauge.labels("threadRenewalDelay").set(tomcatThreadPoolInfo.getLong("threadRenewalDelay"));
    }
}
java 复制代码 
package com.kang.grafana.controller;


import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import com.alibaba.fastjson.JSONObject;
import com.alibaba.fastjson.serializer.SerializerFeature;
import com.kang.grafana.monitor.PrometheusUtil;
import com.kang.grafana.service.IUserService;
import io.prometheus.client.Gauge;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.web.embedded.tomcat.TomcatWebServer;
import org.springframework.boot.web.servlet.context.ServletWebServerApplicationContext;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import java.util.concurrent.Executor;

/**
 * <p>
 * 用户表 前端控制器
 * </p>
 *
 * @author zkk
 * @since 2023-01-04
 */
@RestController
@RequestMapping("/user")
public class UserController {
    @Autowired
    ServletWebServerApplicationContext applicationContext;

    @Autowired
    private IUserService userService;

    @Autowired
    private PrometheusUtil prometheusUtil;

    @RequestMapping("/test")
    public Object get() throws InterruptedException {
        prometheusUtil.pullGateWay();
        Thread.sleep(1500);
        return userService.getById(10);
    }
}

利用jmeter进行访问

看板看到的结果就是

备注

这里只是初步了解学习，中间估计还有很多为了解到的东西，本次仅限了解使用，待打磨

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