= {showMsg} })(window, dataService) // main.js文件 (function (alerter) { alerter.showMsg() })(alerter.../modules/alerter', //此处不能写成alerter.js,会报错 dataService: '..../modules/dataService' } }) require(['alerter'], function(alerter) { alerter.showMsg() }.../modules/alerter', //此处不能写成alerter.js,会报错 dataService: '..../libs/jquery-1.10.1' //注意：写成jQuery会报错 } }) require(['alerter'], function(alerter) { alerter.showMsg
context.CancelFunc done chan struct{} } func NewWriter(w io.Writer, size int, pollInterval time.Duration, f Alerter...ManyToOne struct { writeIndex uint64 readIndex uint64 buffer []unsafe.Pointer alerter...Alerter } // Set sets the data in the next slot of the ring buffer. func (d *ManyToOne) Set(data...d.readIndex { dropped := result.seq - d.readIndex d.readIndex = result.seq d.alerter.Alert
{ showMsg } })(window, dataService) App.js 在主模块中使用了alert模块 (function (alerter) { alerter.showMsg...() })(alerter) index.html (O_O)?.../js/alerter.js"> <script src="..../modules/<em>alerter</em>' } }) // 这里就不需要再向外暴露了 因为已经是主文件了 requirejs(['<em>alerter</em>...'], function (<em>alerter</em>) { <em>alerter</em>.showMsg() }) })() index.html 最后需要在html文件中引入主文件
在 zabbix-3.4.11\src\zabbix_server\alerter\alerter.c 增加 一个发送方式, 数据库 表 media_type 添加一中发送方式 (类似脚本)
zabbix_server: configuration syncer [waiting 60 sec for processes] ├─24125 /usr/sbin/zabbix_server: alerter...[connecting to the database] ├─24127 /usr/sbin/zabbix_server: alerter [connecting to the...database] ├─24128 /usr/sbin/zabbix_server: alerter [connecting to the database]
3、Zabbix alerter processes more than 75% busy 收到几百条zabbix告警信息： Zabbix alerter processes more than 75%...但是用手机访问官网却可以访问，邮件里面很多Zabbix alerter processes more than 75% busy、Zabbix http poller processes more than
在了解到Zabbix3.4的新特性后，发现有一项：多线程告警（alerter进程），有了这个新特性就可大胆设计复杂告警策略，不再担心告警夯住。 编译升级过程中出现报错，最终决定迁移到Docker里。... -d # 其他调优参数参见： https://github.com/zabbix/zabbix-docker/tree/3.4/server-mysql/alpine # 默认三个alerter
我们先创建观察者，上面我们提到了一系列的观察者，我们用伪代码实现 function logger(data){ console.log(Data.now + data) } function alerter...我们需要调用subscribe方法 const observable = new Observable() observable.subscribe(logger) observable.subscribe(alerter
jhipster-dashboard的docker service jhipster-zipkin yourcompany-monitor 持续部署名为jhipster-zipkin的docker service jhipster-alerter...yourcompany-monitor 持续部署名为jhipster-alerter的docker service jhipster-curator yourcompany-monitor 持续部署名为...jhipster-alerter的docker service jhipster-registry yourcompany-monitor 持续部署名为jhipster-registry的docker
failed 0 alerts, idle 5.003233 sec during 5.003329 sec] ├─111967 /usr/sbin/zabbix_server: alerter...#1 started ├─111968 /usr/sbin/zabbix_server: alerter #2 started ├─111969 /usr/...sbin/zabbix_server: alerter #3 started ├─111970 /usr/sbin/zabbix_server: preprocessing manager
Alerter：通知选定的用户和计算机管理警报。 Messenger：传输客户端和服务器之间的NET SEND和警报器服务消息。 Telnet：允许远程用户登录到此计算机并运行程序。
Alerter 发送管理警报和通知 Computer Browser:维护网络计算机更新 Distributed File System: 局域网管理共享文件 Distributed linktracking...Alerter 发送管理警报和通知 Computer Browser:维护网络计算机更新 Distributed File System: 局域网管理共享文件 Distributed linktracking
：用于轮询Snmp/trap类的监控项目； Discovery：用于自动发现设备的进程； Vmware Collector：负责从VMware服务进程中收集数据（服务器代理端不支持这种类型的进程）； Alerter
sc config Alerter start= demand sc config TrkWks start= demand sc config helpsvc start= demand
alerts, idle 5.006520 sec during 5.006634 sec] ├─18694 /usr/local/zabbix/sbin/zabbix_server: alerter...#1 started ├─18695 /usr/local/zabbix/sbin/zabbix_server: alerter #2 started ├─...18696 /usr/local/zabbix/sbin/zabbix_server: alerter #3 started ├─18697 /usr/local/zabbix/sbin
Alerter 发送管理警报和通知 Computer Browser:维护网络计算机更新 Distributed File System: 局域网管理共享文件 Distributed linktracking
alerts, idle 5.003170 sec during 5.003234 sec] ├─49003 /usr/local/zabbix/sbin/zabbix_server: alerter...#1 started ├─49004 /usr/local/zabbix/sbin/zabbix_server: alerter #2 started ├─...49005 /usr/local/zabbix/sbin/zabbix_server: alerter #3 started ├─49006 /usr/local/zabbix/sbin
elastalert import json import requests import dateutil.parser import datetime from elastalert.alerts import Alerter...elastalert.util import elastalert_logger from elastalert.util import lookup_es_key class EagleAlerter(Alerter
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