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Every monitoring system has to deal with three kinds of performance-related challenges. Firstly, a good monitoring system must receive, process and record incoming data very quickly. Every microsecond counts here. This may not seem obvious from the start but when your system becomes large enough all the tiny fractions of seconds add up to become seconds if not minutes. The second challenge is to p
You have probably experienced this many times in your home network. You are running a GUI-less server at home that provides your network with convenient services, but you do not need it to be always on. So you successfully complete your work for the day and happily hibernate your laptop, only to remember a couple of minutes later that you have not shut down your server. Possible options One straig
One of the questions for those of us that use Zabbix on a large scale is “Just how much data can Zabbix ingest before it blows up spectacularly?” Some of the work I’ve been doing lately revolves around that question. I have an extremely large environment (around 32000+ devices) that could potentially be monitored entirely by Zabbix in the future. There is a thread in the Zabbix forums where some p
Zabbix API starts to play significant role especially when it comes to integration of Zabbix with third-party software like configuration and incident management systems as well as for automation of routine tasks. It is incredibly difficult to manage monitoring of thousands of hosts without some automation in place. The API was introduced in Zabbix 1.8 and is already used widely. All Zabbix mobile
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