Monitoring trix

Christopher D. Maestas
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引用次数: 0

Abstract

Monitoring tools have evolved greatly, but when mis-configured they can forget how to do intelligent, non-intrusive and accomplish just-in-time alerts. Non-intrusive collection windows arise during bootup, idle system time, before major workload events and after these events finish. Batch schedulers allow health checking during these opportune times. Most just-in-time alerts arrive via system logs and out-of-band queries that can then trigger appropriate actions. However, abusive out-of-band queries may interrupt normal operational activities.Some vendor and open implementations have been heavyweight in watch-dogging at a brutal cost on computation as systems start scaling to thousands of nodes. Configuring tools to query intelligently during certain opportunities and running only necessary daemons helps to meet monitoring goals. These tools and daemons can include HP's hpasm, Dell's OMSA, supermon, lm_sensors, nagios, ganglia, logsurfer/syslog-ng, torque health checks. Share your monitoring stories and learn how triggers implemented scale to 4000+ node systems.
监测特利克斯
监控工具已经有了很大的发展,但是如果配置不当,它们可能会忘记如何实现智能、非侵入性和即时警报。非侵入性收集窗口出现在启动、空闲系统时间、主要工作负载事件之前和这些事件结束之后。批调度程序允许在这些适当的时间进行运行状况检查。大多数即时警报通过系统日志和带外查询到达,然后可以触发适当的操作。但是,滥用带外查询可能会中断正常的操作活动。当系统开始扩展到数千个节点时,一些供应商和开放实现在计算上付出了残酷的代价。将工具配置为在某些机会期间智能查询,并只运行必要的守护进程,有助于实现监视目标。这些工具和守护进程可以包括HP的hpasm、Dell的OMSA、supermon、lm_sensors、nagios、ganglia、logsurfer/syslog-ng、扭矩健康检查。分享您的监控故事,并了解如何将触发器实现扩展到4000+节点系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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