Spring Boot Admin2 自定义JVM监控通知

蔚落 2024-03-31 11:17 28阅读 0赞

> 其他相关文章：
> 
> 1.  [Spring Boot Admin 参考指南][Spring Boot Admin]
> 2.  [SpringBoot Admin服务离线、不显示健康信息的问题][SpringBoot Admin]
> 3.  [Spring Boot Admin2 @EnableAdminServer的加载][Spring Boot Admin2 _EnableAdminServer]
> 4.  [Spring Boot Admin2 AdminServerAutoConfiguration详解][Spring Boot Admin2 AdminServerAutoConfiguration]
> 5.  [Spring Boot Admin2 实例状态监控详解][Spring Boot Admin2]

首先我们看到Spring Boot Admin 的控制台是能看到很多监控指标的，如图：

![image.png][]  
在平时，我们发现服务实例异常，排查问题时，堆内存、GC、线程数量都是需要我们考虑的，因此也希望能够在JVM堆内存达到一定阈值的时候进行提醒，并通知 `当前的堆大小，已使用大小，当前线程总数`，等可以参考的指标。

然SBA2并没有提供该类告警事件，那么我们就自己来`简单`的实现这个告警。看下最终的飞书提醒效果：

![在这里插入图片描述][698a47930e1b4b9b91c15625f07374e1.png]

我们话不多说看代码：

*AlarmMessage*

public interface AlarmMessage {
        
    
        /**
         * 发送文本告警
         * @param content
         */
        void sendData(String content);
    }

借用FeiShuNotifier类发送通知。  
*NotifierAutoConfiguration.jvmAlarm*

@Bean(initMethod = "start", destroyMethod = "stop")
    	@ConditionalOnProperty(prefix = "spring.boot.admin.notify.jvm", name = "enabled", havingValue = "true")
    	@ConfigurationProperties("spring.boot.admin.notify.jvm")
    	@Lazy(false)
    	public JvmAlarm jvmAlarm(InstanceRepository repository, AlarmMessage alarmMessage) {
        
    		return new JvmAlarm(repository, alarmMessage);
    	}

定义了JVM告警配置，当`"spring.boot.admin.notify.jvm.enabled=true`开启JVM告警。  
`start`初始化  
*JvmAlarm.start*

private void start() {
        
            this.scheduler = Schedulers.newSingle("jvm-check");
            this.subscription = Flux.interval(Duration.ofSeconds(this.interval)).subscribeOn(this.scheduler).subscribe(this::checkFn);
        }

start 会创建一个用于定时检查JVM的定时任务。  
`stop`Bean销毁的时候同时销毁定时任务

private void stop() {
        
            if (this.subscription != null) {
        
                this.subscription.dispose();
                this.subscription = null;
            }
            if (this.scheduler != null) {
        
                this.scheduler.dispose();
                this.scheduler = null;
            }
        }

*JvmAlarm*

public class JvmAlarm {
        
    
        private final RestTemplate restTemplate = new RestTemplate();
    
        private Scheduler scheduler;
    
        private Disposable subscription;
    
        private InstanceRepository repository;
    
    
        private AlarmMessage alarmMessage;
    
        /**
         * jvm 阈值
         */
        private double threshold = 0.95;
    
        /**
         * 累计告警次数
         */
        private int alarmCountThreshold = 3;
    
        /**
         * 检测频率,秒
         */
        private long interval = 10;
    
        /**
         * 格式化模版
         */
        private final DecimalFormat df = new DecimalFormat("0.00M");
    
        /**
         * 排除实例
         */
        private String excludeInstances = "";
    
        /**
         * 开关
         */
        private boolean enabled = true;
    
        /**
         * 提醒模版
         */
        private final String ALARM_TPL = "服务实例【%s】,内存使用超阈值【%s】,累计【%s】次,当前最大内存【%s】,已使用【%s】,当前线程数【%s】";
    
        /**
         * 超过阈值次数
         */
        private final Map<String, Integer> instanceCount = new HashMap<>();
    
        public JvmAlarm(InstanceRepository repository, AlarmMessage alarmMessage) {
        
            this.repository = repository;
            this.alarmMessage = alarmMessage;
        }
    
        private void checkFn(Long aLong) {
        
            if (!enabled) {
        
                return;
            }
            log.debug("check jvm for all instances");
            repository.findAll().filter(instance -> !excludeInstances.contains(instance.getRegistration().getName())).map(instance -> {
        
                String instanceName = instance.getRegistration().getName();
                //最大堆空间
                double jvmMax = getJvmValue(instance, "jvm.memory.max?tag=area:heap") / (1024*1024d);
                //已使用堆空间
                double jvmUsed = getJvmValue(instance, "jvm.memory.used?tag=area:heap") /  (1024*1024d);
                if (jvmMax != 0 && jvmUsed / jvmMax > threshold && instanceCount.computeIfAbsent(instanceName, key -> 0) > alarmCountThreshold) {
        
                    //当前活跃线程数
                    int threads = (int) getJvmValue(instance, "jvm.threads.live");
                    String content = String.format(ALARM_TPL, instanceName, (threshold * 100) + "%", alarmCountThreshold, df.format(jvmMax), df.format(jvmUsed), threads);
                    alarmMessage.sendData(content);
                    //重新计算
                    instanceCount.remove(instanceName);
                }
                //更新累计超过阈值次数
                if (jvmMax != 0 && jvmUsed / jvmMax > threshold) {
        
                    instanceCount.computeIfPresent(instanceName, (key, value) -> value + 1);
                }
                return Mono.just(0d);
            }).subscribe();
        }
    
        private long getJvmValue(Instance instance, String tags) {
        
            try {
        
                String reqUrl = instance.getRegistration().getManagementUrl() + "/metrics/" + tags;
                log.debug("check jvm {},uri {}", instance.getRegistration().getName(), reqUrl);
                ResponseEntity<String> responseEntity = restTemplate.getForEntity(reqUrl, String.class);
                String body = responseEntity.getBody();
                JSONObject bodyObject = JSON.parseObject(body);
                JSONArray measurementsArray = bodyObject.getJSONArray("measurements");
                if (measurementsArray != null && !measurementsArray.isEmpty()) {
        
                    return measurementsArray.getJSONObject(0).getLongValue("value");
                }
            } catch (Exception ex) {
        
                log.error(ex.getMessage());
            }
            return 0L;
        }
    
        public long getInterval() {
        
            return interval;
        }
    
        public void setInterval(long interval) {
        
            this.interval = interval;
        }
    
        public String getExcludeInstances() {
        
            return excludeInstances;
        }
    
        public void setExcludeInstances(String excludeInstances) {
        
            this.excludeInstances = excludeInstances;
        }
    
        public boolean isEnabled() {
        
            return enabled;
        }
    
        public void setEnabled(boolean enabled) {
        
            this.enabled = enabled;
        }
    
        public double getThreshold() {
        
            return threshold;
        }
    
        public void setThreshold(double threshold) {
        
            this.threshold = threshold;
        }
    
        public int getAlarmCountThreshold() {
        
            return alarmCountThreshold;
        }
    
        public void setAlarmCountThreshold(int alarmCountThreshold) {
        
            this.alarmCountThreshold = alarmCountThreshold;
        }
    
        private void start() {
        
            this.scheduler = Schedulers.newSingle("jvm-check");
            this.subscription = Flux.interval(Duration.ofSeconds(this.interval)).subscribeOn(this.scheduler).subscribe(this::checkFn);
        }
    
        private void stop() {
        
            if (this.subscription != null) {
        
                this.subscription.dispose();
                this.subscription = null;
            }
            if (this.scheduler != null) {
        
                this.scheduler.dispose();
                this.scheduler = null;
            }
        }
    }

由于这些JVM指标都可以通过调用 `/actuator/metrics`来获取，如下所示可以看到所有的指标(我对指标进行了格式化)：

{
        
    	"names": ["http.server.requests", "jvm.buffer.count", "jvm.buffer.memory.used", "jvm.buffer.total.capacity", "jvm.classes.loaded", "jvm.classes.unloaded", "jvm.gc.live.data.size", "jvm.gc.max.data.size", "jvm.gc.memory.allocated", "jvm.gc.memory.promoted", "jvm.gc.pause", "jvm.memory.committed", "jvm.memory.max", "jvm.memory.used", "jvm.threads.daemon", "jvm.threads.live", "jvm.threads.peak", "jvm.threads.states", "logback.events", "process.cpu.usage", "process.start.time", "process.uptime", "system.cpu.count", "system.cpu.usage", "tomcat.sessions.active.current", "tomcat.sessions.active.max", "tomcat.sessions.alive.max", "tomcat.sessions.created", "tomcat.sessions.expired", "tomcat.sessions.rejected"]
    }

通过`/actuator/metrics/具体指标名称`即可获取对应指标详情，比如获取JVM最大内存：``/actuator/metrics/jvm.memory.max\`\`，再往下要获取Tag指标使用`jvm.memory.max?tag=area:heap`，其他指标同理，不再叙述。

{
        
    	"name": "jvm.memory.max",
    	"description": "The maximum amount of memory in bytes that can be used for memory management",
    	"baseUnit": "bytes",
    	"measurements": [{
        
    		"statistic": "VALUE",
    		"value": 4.256169984E9
    	}],
    	"availableTags": [{
        
    		"tag": "id",
    		"values": ["PS Eden Space", "PS Old Gen", "PS Survivor Space"]
    	}]
    }

measurements 数组是我们需要获取的值，经过观察`几个JVM指标都是只有一个值`，因此只要获取第一个数组即可。  
这里有一段代码要说明下：

//更新累计超过阈值次数
    if (jvmMax != 0 && jvmUsed / jvmMax > threshold) {
        
    	instanceCount.computeIfPresent(instanceName, (key, value) -> value + 1);
    }

我为什么要加超过阈值的累计次数，在达到指定次数的时候才提醒，经过测试如果JVM占比很高的时候，一般会持续较长一段时间，如此每次达到阈值就会发生提醒消息，这样飞书收到的消息就太多了，价值不大，造成无意义的干扰；  
另一方面虽然有时候JVM内存占用变高达到了阈值，但GC后，占比又下降了，如果这时候通知也是没什么参考价值的，所以设置累计次数，能够表明JVM占比很高已经持续了很长一段时间了，需要引起关注，才发送通知。  
其他的就不过多解释了。

[Spring Boot Admin]: https://itsaysay.blog.csdn.net/article/details/125567451
[SpringBoot Admin]: https://itsaysay.blog.csdn.net/article/details/125302909
[Spring Boot Admin2 _EnableAdminServer]: https://itsaysay.blog.csdn.net/article/details/127986764
[Spring Boot Admin2 AdminServerAutoConfiguration]: https://itsaysay.blog.csdn.net/article/details/127990150
[Spring Boot Admin2]: https://itsaysay.blog.csdn.net/article/details/127992400
[image.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/03/31/52e5b0c104ad45deaf92136c436f6d71.png
[698a47930e1b4b9b91c15625f07374e1.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/03/31/02219250bf374ef489ec091da6e86107.png