scaling

Until Zabbix 2.0.7 proxies used a simple algorithm for their configuration synchronization – overwriting the old configuration with a new one. Even unchanged records were updated. It produced a lot of SQL updates even when there were no changes in configuration. It worked good enough until one user wanted to synchronize a heavy loaded proxy […]

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 […]