First of all, I’ll briefly explain what the “Tornado” in NetEye actually is. Tornado is a Complex Event Processor that receives reports of events from data sources such as monitoring, email, and SNMP Traps, matches them against rules you’ve configured, and executes the actions associated with those rules, which can include sending notifications, logging to…
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In my previous blog post, we saw how it’s possible to index some documents that we created by crawling our NetEye User Guide, then applying the ELSER model in Elasticsearch to create a bag of words for searching that takes into account the context of the various documents. Moreover, we also performed a simple query…
Read MoreIn a previous article I analyzed how you can create effective visualizations in Kibana, and how to apply machine learning jobs with the goal of extracting as much information as possible from our data. However, you can also think of data as a raw material, which sometimes needs to be transformed and manipulated before allowing…
Read MoreThese days we live in a data-driven world, where the collection and analysis of data empowers not only companies but also individuals to plan future actions based on the information that is extracted. NetEye enables both the collection and analysis of an enormous amount of data using various platforms, such as Kibana, for data written…
Read MoreTornado is an event-driven engine that substitutes the previous engine called Eventhandler. Its use in NetEye is becoming ubiquitous, and this is just the start! One of its main uses in the NetEye ecosystem is to trigger status changes within Icinga (this in turn will usually send emails to stakeholders). However, understanding exactly what is…
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