We are excited to release two new versions today: Icinga DB v1.2.0 and Icinga DB Web v1.1.2.

Nearly every operating system comes with at least one kind of service management. On a Unix-based operating system, this is historically part of the init system. While the specific tools have matured over time and there are changes between operating systems, they are essentially used to orchestrate both operating system services and user services. Specifically, a service manager ensures that, e.g., a web server is started once the network is configured and available.

It has been a long time since our last release, but today it is finally time to release Icinga for Windows v1.12.0! We made some huge improvements to certain areas of Icinga for Windows, which we are going to talk about.

Some time ago, we started research and development efforts to create components for Icinga aimed at monitoring Kubernetes environments. Over the past months, we have gained valuable insights into the platform and how we can monitor Kubernetes with Icinga efficiently.

Have you ever admired those cool graphics on the web? They look nice but can be the wolf in sheep’s clothing. In this post you will learn about SVG injections and how to avoid them.

Have you ever experienced configuration issues, such as notifications not being sent as expected or apply rules not matching all expected objects, probably due to an incorrectly set custom variable? Icinga 2 has several options to assist you in such situations. Last time, Julian demonstrated how to analyse such problems using the icinga2 object list command. Today I will show you how to interactively investigate your problem using the mighty Icinga 2 debug console.

We take pride in our diverse range of customers and users worldwide who trust Icinga for their monitoring needs. That’s why we’re showcasing some of these enterprises with their Success stories. It’s stories from companies or organizations just like yours, of any size and different kinds of industries.

In the dynamic realm of monitoring Kubernetes clusters, effective visualization is paramount for gaining insights into system health and performance. One versatile tool that has gained prominence in this domain is Scalable Vector Graphics (SVGs). In this blog post, we’ll delve into the usage of SVGs, explore different implementation methods, weigh the pros and cons, and discuss why they are indispensable for monitoring Kubernetes with Icinga2.

Today, I want to showcase an old, but still very useful, tool when it comes to analyzing and debugging an Icinga 2 configuration: the icinga2 object list command. It can be helpful in a variety of situations, for example when you want to verify that a config change has the desired effect, but also for finding out where something is set in the configuration.