In the third article about Zabbix and exploratory data analysis, we will understand how theories about asymmetry and kurtosis work.
As my home monitoring experiment has become such a celebrity and as it has so much going on, I’m trying to make sure I won’t ever lose its configuration and data, no matter what would happen. Here are some tips and reminders for you, too.
In the previous blog post, we just explored some of the basic statistic concepts to estimate KPIs for a web application response time: in that case, average, median and percentile. Now we must continue our work but this time, analyzing some variances of the collected metrics, considering a certain period.
Can you verify if your phone battery drains faster during summer compared to other seasons with Zabbix? Of course, you can!
Zabbix is highly regarded for its ability to integrate with a variety of systems right out of the box. That list of systems has recently been expanded with the addition of Event-Driven Ansible. Bringing Zabbix and Event-Driven Ansible together lets you completely automate your IT processes, with Zabbix being the source of events and Ansible serving as the executor. This article will explore in detail how to send events from Zabbix to Event-Driven Ansible.
When reading this blog, you could easily think that everything is smooth sailing all the time. No. When you monitor your home IoT — or frankly, just USE your home IoT — you have plenty of small details to watch out for. I list them for you, so you don’t have to find them out the hard way like I’ve done over this 1+ year of journey.
SNMP – Simple network management protocol is a networking protocol that is extremely prevalent in network hardware such as switches and routers, as well as a variety of other devices such as printers, power supplies and even regular server hosts. Depending on the device, a wide array of metrics can be retrieved by using SNMP without the need to deploy any additional software on the target device. Our newly introduced Zabbix SNMP monitoring one-day extra course will teach you all you need to know about SNMP and how to use Zabbix to get the most out of your SNMP devices with the most optimal data collection approach.
Can you monitor a USB-connected printer with Zabbix? Of course, you can! But can ChatGPT help set up the monitoring? Well… erm… maybe! By day, I am a Lead Site Reliability Engineer in a global cyber security company, Forcepoint. By night, I monitor my home with Zabbix & Grafana and do some weird experiments with them. Welcome to my blog about the project.
Can you monitor your mobile data usage with Zabbix? Of course, you can! By day, I am a Lead Site Reliability Engineer in a global cyber security company Forcepoint. By night, I monitor my home with Zabbix & Grafana Labs and do some weird experiments with them. Welcome to my blog about this project.
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.