I’m entering a whole new level of monitoring and “What’s up, home?” could now also be called “What’s up, me?”. Recently my colleague did hint to me about Home Assistant’s HomeKit Controller integration just to get my HomeKit-compatible Netatmo environmental monitoring device to get to return value back to Zabbix without my Siri kludge. One thing lead to another and now I’m monitoring my iPhone and Apple Watch — so, practically monitoring myself.
In this article, I’ll talk about how we can think of new metrics, new use cases, how to support our business and help the company with important results and insights using exploratory data analysis introducing and implementing some data science concepts using only Zabbix.
Modern IT infrastructures tend to utilize multiple data sources to evaluate and react to the current state of the infrastructure. A set of internal solutions and dedicated software tools are used to correlate the collected information and react in a proper way to changes in the environment – be it a gradual increase or decrease in resource usage, unexpected load spikes or run-of-the-mill outages.
With the release of Zabbix 6.4, metrics collected by Zabbix and events generated based on trigger expressions can be integrated into such a data pipeline by using the new real-time metric and event streaming feature.
In the previous Kubernetes monitoring blog post, we explored the functionality provided by the Kubernetes integration in Zabbix and discussed use cases for monitoring and alerting to events in a cluster, such as changes in replicas or CPU pressure.
Is Raspberry Pi 4 a goodbye or a good buy for running Zabbix? How is it performance-wise? Is it reliable? Here’s my nine-month review of it, with a splash of appliance/application performance monitoring.
In the previous blog post, we installed the Zabbix Agent Helm Chart and set up official Kubernetes templates to…
Zabbix team is pleased to announce the release of the latest Zabbix major version – Zabbix 6.4. The release…
One of the features of Zabbix proxy is that it can buffer the collected monitoring data if connectivity to Zabbix server is lost. In this post I will show it happening, using packet capture, or packet analysis.
As you know, a picture is worth a thousand words. Therefore, I would like to share the process of creating a webhook from scratch. In this article, we will walk through the creation process step by step – starting with studying the target service with which Zabbix will integrate and finishing with tests for sending events from Zabbix. Although it may seem complicated, writing your own integrations is not so difficult.
In this blog post, you will learn how to set up monitoring for your Litter Robot 3. There’s some amazing community scripts already available to connect to the Litter Robot through a selfmade API, which we’ll be using in combination with some Python scripts and Zabbix.
There are many options available for monitoring Kubernetes and cloud-native applications. In this multi-part blog series, we’ll explore how to use Zabbix to monitor a Kubernetes cluster and understand the metrics generated within Zabbix. We’ll also learn how to exploit Prometheus endpoints exposed by applications to monitor application-specific metrics.
Want to see Kubernetes monitoring in action? Watch the step-by-step Zabbix Kubernetes monitoring configuration and deployment guide.
Zabbix gives every community member the ability to extend their frontend functionality by writing their own frontend modules. In this video, we will go through the steps required to write a Zabbix frontend module and look at multiple code examples that will explain the steps behind successfully implementing a custom frontend module. The article is based on a Zabbix Summit 2022 speech by Evgeny Yurchenko.
