Solution for replicating monitoring data between Zabbix servers in a multi-tenant environment motivated by the need to have different third-party integrations in different environments.
Use Zabbix to not only keep an eye on your IT infrastructure, but also collect and store Inventory data from your data sources, that later can be utilized in any third party tools.
Learn how Deutsche Telekom Technik GmbH integrated Zabbix server instances into the existing IBM Netcool ticket system to reuse the entire existing infrastructure and attached business processes and work with alerts created by Zabbix.
Understand how to utilize Zabbix API, automate daily processes, and integrate with other solutions.
Learn how to get the most out of the Zabbix Agent active and passive modes to fix problems proactively with remote commands.
Explore the use case, showing how Zabbix is being used to monitor a large-scale environment of 65,000+ devices.
Learn how to deploy the Zabbix agent on a large number of hosts using the auto registration feature and save your time on manual work.
Zabbix Agent 2 is a promising platform that gives Zabbix more capabilities for data collection. Written in the powerful Go language, this new agent provides more options for plugin developers. More than that, it is less complicated than C Loadable modules, so creating plugins is now much more accessible for everyone.
Learn how to build a monitoring system for Ceph Storage using Zabbix, improving your visibility about your storage solution health and working proactively to identify possible failed events and performance issues before it impacts your applications and even the business continuity.
Patrik Uytterhoeven is an opensource minded consultant working for Open-Future – one of the oldest Zabbix partners. Patrik is a certified Zabbix trainer and also the author of the Zabbix Cookbook and co-author of the Zabbix 4 network monitoring book. At Zabbix Conference Benelux 2020 he will speak about upgrading Zabbix and migrating from PostgreSQL table partitioning to PostgreSQL with TimescaleDB.