springboot2.X整合prometheus监控的实例讲解 springboot2.X整合prometheus监控的实

springboot2.x暴露健康状况通过prometheus监控加入依赖

org.springframework.boot spring-boot-starter-actuator io.micrometer micrometer-registry-prometheus

application.yml加入相关配置

management: security: enabled: false #prometheus+grafana+springboot2监控集成配置 metrics: export: prometheus: enabled: true jmx: enabled: true endpoints: web: exposure: include: '*' base-path: /metrics #prometheus+grafana+springboot2监控集成配置

主启动类加入配置

package com.drore.saas; import com.drore.saas.services.service.StorageService; import io.micrometer.core.instrument.MeterRegistry; import org.springframework.boot.CommandLineRunner; import org.springframework.boot.SpringApplication; import org.springframework.boot.actuate.autoconfigure.metrics.MeterRegistryCustomizer; import org.springframework.boot.autoconfigure.SpringBootApplication; import org.springframework.boot.web.servlet.ServletComponentScan; import org.springframework.context.annotation.Bean; @SpringBootApplication@ServletComponentScanpublic class TenantappApplication { public static void main(String[] args) { SpringApplication.run(TenantappApplication.class, args); } @Bean CommandLineRunner init(StorageService storageService) { return (args) -> { storageService.init(); }; }#prometheus+grafana+springboot2监控集成配置 @Bean MeterRegistryCustomizer meterRegistryCustomizer(MeterRegistry meterRegistry) { return meterRegistry1 -> { meterRegistry.config() .commonTags("application", "Tenantapp"); }; } #prometheus+grafana+springboot2监控集成配置}

启动之后通过路径访问查看健康状况

http://xxxxxx/metrics/prometheus

查看到的数据如下：

[root@saas98 /]$ curl "http://10.98.94.220:80/ts/metrics/prometheus"# HELP process_start_time_seconds Start time of the process since unix epoch.# TYPE process_start_time_seconds gaugeprocess_start_time_seconds{application="Tenantapp",} 1.556068841226E9# HELP tomcat_threads_busy_threads # TYPE tomcat_threads_busy_threads gaugetomcat_threads_busy_threads{application="Tenantapp",name="http-nio-9081",} 1.0# HELP tomcat_sessions_expired_sessions_total # TYPE tomcat_sessions_expired_sessions_total countertomcat_sessions_expired_sessions_total{application="Tenantapp",} 0.0# HELP tomcat_sessions_active_current_sessions # TYPE tomcat_sessions_active_current_sessions gaugetomcat_sessions_active_current_sessions{application="Tenantapp",} 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 counterjvm_gc_memory_promoted_bytes_total{application="Tenantapp",} 1.18894656E8# HELP tomcat_global_request_max_seconds # TYPE tomcat_global_request_max_seconds gaugetomcat_global_request_max_seconds{application="Tenantapp",name="http-nio-9081",} 3.366# HELP jvm_memory_used_bytes The amount of used memory# TYPE jvm_memory_used_bytes gaugejvm_memory_used_bytes{application="Tenantapp",area="heap",id="Survivor Space",} 653880.0jvm_memory_used_bytes{application="Tenantapp",area="nonheap",id="Metaspace",} 1.36445248E8jvm_memory_used_bytes{application="Tenantapp",area="heap",id="Eden Space",} 7511504.0jvm_memory_used_bytes{application="Tenantapp",area="nonheap",id="Code Cache",} 3.8031424E7jvm_memory_used_bytes{application="Tenantapp",area="heap",id="Tenured Gen",} 1.3880212E8jvm_memory_used_bytes{application="Tenantapp",area="nonheap",id="Compressed Class Space",} 1.7220968E7# HELP tomcat_sessions_created_sessions_total # TYPE tomcat_sessions_created_sessions_total countertomcat_sessions_created_sessions_total{application="Tenantapp",} 0.0# HELP system_cpu_count The number of processors available to the Java virtual machine# TYPE system_cpu_count gaugesystem_cpu_count{application="Tenantapp",} 1.0# HELP tomcat_global_sent_bytes_total # TYPE tomcat_global_sent_bytes_total countertomcat_global_sent_bytes_total{application="Tenantapp",name="http-nio-9081",} 8168269.0# HELP jvm_threads_daemon_threads The current number of live daemon threads# TYPE jvm_threads_daemon_threads gaugejvm_threads_daemon_threads{application="Tenantapp",} 34.0# HELP logback_events_total Number of error level events that made it to the logs# TYPE logback_events_total counterlogback_events_total{application="Tenantapp",level="debug",} 0.0logback_events_total{application="Tenantapp",level="error",} 965.0logback_events_total{application="Tenantapp",level="warn",} 4.0logback_events_total{application="Tenantapp",level="info",} 1047.0logback_events_total{application="Tenantapp",level="trace",} 0.0# HELP tomcat_cache_access_total # TYPE tomcat_cache_access_total countertomcat_cache_access_total{application="Tenantapp",} 0.0# HELP tomcat_servlet_error_total # TYPE tomcat_servlet_error_total countertomcat_servlet_error_total{application="Tenantapp",name="dispatcherServlet",} 0.0tomcat_servlet_error_total{application="Tenantapp",name="statViewServlet",} 0.0tomcat_servlet_error_total{application="Tenantapp",name="default",} 0.0# HELP jvm_buffer_total_capacity_bytes An estimate of the total capacity of the buffers in this pool

prometheus-operator监控java应用整合目前的prometheus-operator目录下的相关文件

https://github.com/coreos/prometheus-operator.git

已经移植到

https://github.com/coreos/kube-prometheus.git

具体原因参照官网。
下面也有自己总结的文档的地址，大家可以参照下：

https://github.com/hkj123/kube-prometheus-manifests.git

具体的文件如下图展示，这里有很多文件，我们只介绍关注的几个文件，其他的可以参照官网了解：

文章图片

构建springboot项目的时候需要注意的点：

---kind: ServiceapiVersion: v1metadata: labels: app: ms #prometheus配置监控需要通过app去监控，这个k8s-app和app都可以 namespace: drore-saas name: msspec: ports: - name: http-ms #prometheus配置监控需要通过port name去识别，当然也可以直接配置端口，不过这样看起来更专业 nodePort: 31945 protocol: TCP port: 80 targetPort: 80 selector: app: ms type: NodePort---

部署prometheus需要注意的点

https://github.com/coreos/kube-prometheus/manifests

提供了一套整合的例子：
需要修改的文件: prometheus-clusterRole.yaml
默认的文件内容：

apiVersion: rbac.authorization.k8s.io/v1kind: ClusterRolemetadata: name: prometheus-k8srules:- apiGroups: - "" resources: - nodes/metrics verbs: - get- nonResourceURLs: - /metrics verbs: - get

可以发现这里的监控的resources：- nodes/metrics
我们需要监控自己构建的java应用需要扩大权限

apiVersion: rbac.authorization.k8s.io/v1kind: ClusterRolemetadata: name: prometheus-k8srules:- apiGroups: - "" resources: - nodes - services - endpoints - pods - nodes/proxy verbs: - get - list - watch- apiGroups: - "" resources: - configmaps - nodes/metrics verbs: - get- nonResourceURLs: - /metrics verbs: - get

书写monitor监控文件，提供了一下参考的文件：prometheus-serviceMonitor.yaml
自己编写的：prometheus-serviceMonitorSelfServiceMs.yaml

apiVersion: monitoring.coreos.com/v1kind: ServiceMonitormetadata: name: drore-saas-ms namespace: monitoringspec: endpoints: - interval: 15s port: http-ms #prometheus配置注意这个port的名称 path: /ms/metrics/prometheus #prometheus配置注意这个路径 jobLabel: app #prometheus配置注意我们用的是app在springboot构建的时候 namespaceSelector: # 表示去匹配某一命名空间中的service，如果想从所有的namespace中匹配用any: true matchNames: - drore-saas selector: matchLabels: app: ms #prometheus配置注意我们用的是app在springboot构建的时候

配置完毕之后使用

kubectl apply -f prometheus-clusterRole.yaml -f prometheus-serviceMonitorSelfServiceMs.yaml

就可以登录管理界面去看了

http://118.31.17.205:31144/targets

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报警规则可以通过 prometheus-rules.yaml 去配置
参考
https://github.com/coreos/prometheus-operator
补充：spring boot2.x暴露监控endpoint并配置prometheus及grafana对多个targets进行监控
1. build.gradle中添加依赖

compile group: 'org.springframework.boot', name: 'spring-boot-starter-actuator' compile group: 'org.springframework.boot', name: 'spring-boot-starter-security' compile('io.micrometer:micrometer-registry-prometheus')

2. spring boot 2.x暴露信息不同于之前的Actuator 1.x，Actuator 2.x 的大多数端点默认被禁掉。 Actuator 2.x 中的默认端点增加了/actuator前缀。
3. spring boot服务端改造配置信息

server.port=8085management.endpoints.web.exposure.include=prometheus management.endpoint.metrics.enabled=true spring.security.user.name=xxx spring.security.user.password=123456 spring.security.user.roles=ACTUATOR_ADMIN management.server.port=8090 management.endpoints.web.base-path=/admin

指定权限

@Configuration public class ActuatorSecurityConfig extends WebSecurityConfigurerAdapter { @Override protected void configure(HttpSecurity http) throws Exception { http.requestMatcher(EndpointRequest.toAnyEndpoint()).authorizeRequests().antMatchers("/actuator/*").hasRole( "ACTUATOR_ADMIN").and().httpBasic(); } }

这样我们可以看到：
这个spring boot服务启动了两个端口：
8085端口，进行正常的业务处理
8090端口，admin，暴露出监控信息，并通过spring security进行权限控制
打开浏览器访问http://192.168.211.2:8090/admin/prometheus
输入用户名密码

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4. Prometheus监控多个spring boot服务下载prometheus-2.11.1.linux-amd64.tar.gz
编写配置文件prometheus.yml

global: scrape_interval: 10s scrape_timeout: 10s evaluation_interval: 10mscrape_configs: - job_name: app-gateway scrape_interval: 5s scrape_timeout: 5s metrics_path: /admin/prometheus scheme: http basic_auth: username: root password: 1230456 static_configs: - targets: - 192.168.211.2:8099 - job_name: search scrape_interval: 5s scrape_timeout: 5s metrics_path: /admin/prometheus scheme: http basic_auth: username: root password: 1230456 static_configs: - targets: - 192.168.211.2:8090

其中，我的spring boot服务部署在192.168.211.2上，而prometheus和grafana都部署在192.168.211.101上
配置了两个服务
执行以下命令启动 ./prometheus --config.file=prometheus.yml &
访问http://192.168.211.101:9090/targets
可以看到