Vivian Park

Sales Representative

NE BRASIL

About The Speaker

I have been using Nagios for 20ish years, and it’s always been my standby for any job I start and have to learn an infrastructure or my homelab. I trust it completely, and I even have it running on a Raspberry Pi under my desk, emailing me when things go wrong.

Creative Selling: Crafting Tailored Solutions Across Multiple Sectors with Nagios XI

This presentation will explore the art of creative selling by showing how Nagios can be used to craft tailored solutions across IT departments and industries. Instead of seeking new platforms, leveraging deep knowledge of Nagios allows businesses to innovate and address modern challenges.

Through a real-world example of how NE Brasil transformed Nagios into a SOAR system, I will highlight how customizing existing tools can add value and drive business success, including how we addressed AWS shared account monitoring using distributed monitoring and configuration wizards.

Behind the Session Title

I spend my time in the AI space. However, I still have to worry about capacity, and if my Nagios machine tells me that my machines are overloaded, wouldn’t it be nice to predict possible issues leveraging the Time Series model I use? I have a small proof of concept (and it should be better as I find more and more time to work on this); my Type 1 diabetes data experimentation inspired this talk, and it’s only natural to start looking at the machines I care about. My goal for this session is to give people a different paradigm of what AI can do with the tools they already have and to be a supporting character for people’s work. tl;dr wouldn’t it be nice to have a 24×7 monitor that can tell you possibly weeks ahead of time that you’re going to have issues so you can plan accordingly? The art of the possible is here with this.

What I Hope You Learn

Ideally my goal is to show a way to leverage our free and Open Source AI Granite model(s) and Nagios technology together so our combined users can find more joy and trust in their systems. The more time they “leave us be,” the more time they can make money and trust us as the experts we are.

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