The ability to define and execute scripts on different Zabbix components in different scenarios can be extremely powerful. There are many different use cases where we can execute these scripts – to remediate an issue, forward our alerts to an external system, and much more. In this post, we will cover one of the lesser-known use cases – creating a control panel of sorts in which we can execute different scripts directly from our frontend.
Did you know that Zabbix has an out-of-the-box template for collecting Oracle database metrics? With this template, we can collect data like database, tablespace, ASM, and many other metrics agentlessly, by using ODBC. This blog post will guide you on how to set up ODBC monitoring for Oracle 11.2, 12.1, 18.5, or 19.2 database servers. This post can serve as the perfect set of guidelines for deploying Oracle database monitoring in your environment.
In this blog post, we will talk about maintaining and storing the Zabbix API session key in an automated fashion. The blog post builds upon the Close problem automatically via Zabbix API subject and can be used as extra configuration for this particular use-case. The blog post also shares a great example of synthetic monitoring by way of JavaScript preprocessing – how to emulate a scenario in an automated fashion and get alerted in case of any problems.
In this blog post, you will learn how to set up manual ticket creation through the use of Zabbix frontend scripts. We will use Jira Service Desk as an example, but this guide should work for any type of service desk or help desk system, as we can apply this technique for other systems in a similar fashion.
Overrides is an often overlooked feature of Low-level discovery that makes the discovery of different entities in your environment so much more flexible. In this blog post, we will take a look at how overrides work and how we can use them to extend our Low-level discovery rules with additional logic.
When you have devices spread across different locations and monitor these with a single Zabbix instance, you’ll encounter a challenge managing the various latencies to each location, especially when these locations span the world. Ping times can vary wildly from 10ms to 500ms and more depending on the internet connections.
In this post and the video, we will discuss deploying and configuring Zabbix 5.4 in a multi-tenant environment and how Zabbix is finally ready for real multi-tenant use cases thanks to multiple features.
In earlier Zabbix versions, we had three categories of things we could manage inside the instance — triggers, calculated items, and aggregated items. Each of them had its own syntax, so we could not be sure what syntax to use in a certain case. That’s why we introduced the unified syntax for every category inside the monitoring tool that will ease up the documentation task and the configuration process. To appreciate the innovation, we need to recap these three categories in Zabbix.
In this post, we will talk about the low-level discovery of Kafka connectors and tasks. When a Kafka task fails, a trigger is fired, which starts a remote command to restart the failed Kafka task. Of course, with the necessary logging around it.
In this blog post, we will talk about aggregating different kinds of devices that are disconnected from the general network. Finding out how many devices per kind are “down” right now. This can be useful in the Internet Service Provider type of situation.
Most Zabbix users use proxies, and those running medium to large instances might have encountered some performance issues. From this post and the video, you will learn more about the most common troubleshooting steps to resolve any proxy issues and to detect them as sometimes you might be unaware of an ongoing issue, as well as basic performance tuning to prevent such issues in the future.
