Luis Contreras

IT Infrastructure Monitoring Engineer

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About The Speaker

With over 15 years of experience in IT, I specialize in Observability and IT Infrastructure Monitoring, delivering innovative solutions that optimize system performance, enhance operational visibility, and drive cost efficiencies. My expertise spans designing and implementing monitoring strategies using industry-leading tools such as Zabbix, Nagios Core & XI, Centreon, OpenTelemetry, Prometheus, Grafana, and OpenTelemetry.

I have successfully supported and led complex projects for diverse industries, focusing on:

  • Integrating monitoring systems with advanced observability platforms.
  • Customizing plugins, templates, and dashboards tailored to unique client needs.
  • Conducting in-depth performance analyses to provide actionable insights.
  • Streamlining IT environments to reduce operational complexity and improve scalability.

A dedicated consultant and trainer, I empower organizations through comprehensive training sessions and well-documented processes, ensuring teams are equipped with the skills to maximize the value of their monitoring tools.

My commitment to staying at the forefront of technology enables me to navigate complex IT challenges, whether enhancing data collection with OpenTelemetry, implementing containerized solutions with Docker, or orchestrating scalable deployments using Kubernetes.

I’m passionate about creating seamless, efficient IT ecosystems and collaborating with teams to achieve business goals through cutting-edge observability and monitoring solutions.

My journey in exploring how programming languages like Golang and Python in the prediction and calculation field we can use it for exploring more data and manipulating in the monitoring field

Unlocking The Power of Nagios Core with Go: Predicting Outages and Enhancing Monitoring Capabilities

The presentation will cover an innovative Proof of Concept (PoC) showcasing how to leverage Go to expand the functionality of Nagios Core, including how to parse and analyze the data from Nagios Core to predict outages for hosts and services. Using advanced algorithms and historical data, we’ll uncover the probability percentages of recurring events, providing actionable insights for proactive IT management. Whether you’re an IT professional, developer, or system administrator, this session will inspire you with practical applications of Go for extending monitoring tools like Nagios Core.

Behind the Session Title

We’ll be speaking about how golang programing help to develop a prediction little program for calculating the data generated in the Nagios side.

What I Hope You Learn

Golang, libraries for calculation in golang, how to deploy in their environment.