Today we have a pretty interesting menu, and if you are in charge of a NetScaler in your infrastructure, in this post we will see how we can collect their logs to later be processed and finally make a dashboard in Grafana that shows in real time (or historical) The data collected.
Well, today it's time for another post about log collection, how to treat them and above all how to visualize them; in this document we will see how to perform the entire process with the VMware ESXi hypervisor logs, treat them with Elastic Stack and finally visualize in Grafana what interests us, such as error logs, Incorrect sign-ins…
Well, Well, Well, that you thought we were on vacation… Well, almost! But we don't forget to bring a special podcast this time, I had to work and today we bring you a talk about Elastic Stack.
Something very common that we are usually asked for is the possibility of knowing the logons and other interesting information that a user can generate. In this post we will see how to visualize data as interesting as: When have they logged in, When they closed the session, Incorrect login attempts, When a computer has been locked, or unlocked, or when the screensaver has tripped, or it has been deactivated…
In this document, we're going to exploit the visualization of the data that our Elasticsearch collects, To end up seeing them as no, in Grafana. In future posts we will do other different types of visualization that are very cool to understand what is happening on our network, today it's time for Table format.
We continue with another document where we will try to centralize all our LOGs in Elasticsearch, this time it's our turn of Fortigate firewalls. The idea will not only be to collect the LOGs but also to understand them visually and have tools that help us in our day-to-day lives.
After seeing how we installed Meerkata and having made it functional, Now it's time to treat your data and visualize it in a friendlier way, for this we will rely on Grafana as a visualizer, although with Kibana you can do it in the same way (or simpler). All this thanks to the fact that we will store the Meerkat LOGs in Elasticsearch.
In this post we will see the steps we must follow to install Meerkat on a Debian 10.6. Meerkat is a high-performance network engine, as IDS (Intrusion Detection System), IPS (Intrusion Prevention System) and used as a network monitoring system, and of course, Open Source!
In this post, we'll look at another of Elasticsearch's wonderful components, within the Beats packages we will also find a utility that will help us to process and collect metrics from our Windows or Linux computers, known as Metricbeat. We will see how to export these metrics to Logstash to process them and store them in Elasticsearch to later visualize them with Kibana or Grafana!
GOOD, once we have already set up our platform with Elasticsearch, Logstash and Kibana, In this first post, we are going to analyze the events of the Event Viewer of our Windows computers using Winlogbeat! We'll install the small agent and send the events we decide to Logstash to process and store in Elasticsearch, and then we will visualize them with Grafana!
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Windows Server – VMware vSphere – Citrix Virtual Apps & Desktops – Centreon
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