nagios world conference 2026
Sessions Overview
Explore sessions on IT monitoring best practices, automation, distributed monitoring, security, integrations, and AI implementations from industry experts.
Presentations
Additional sessions will be added as more speakers are confirmed. Topics are subject to change and schedule of sessions will be determined in the near future.
Showing 31 of 31 sessions
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Keynote Presentation
An overview of topics relating to Nagios, its community, and the future of IT monitoring.
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Nagios Development Update and Future Roadmap
A detailed discussion of recent developments in commercial product offerings and community Open Source projects, as well as future development plans.
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Nagios Fusion: Product Overview & What’s New
Get a complete overview of Fusion, including key features, recent updates, and what’s new in the latest release.
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Bringing Nagios into ITSM: Real‑World Integration with Ivanti Neurons
This session shows how to integrate Nagios XI with Ivanti Neurons to convert monitoring alerts into ITSM-driven workflows. Begin with the problems that spurred this integration: surfacing problems to SNCC (system & network control center), management of service stakeholders, and noisy alerts during maintenance. Then we’ll walk through the integration architecture, notification command patterns, and the rules that map Nagios states to ITSM events. A live demonstration will create an alert in Nagios, show automated alert creation and assignment in Ivanti, and illustrate how maintenance windows are synchronized to prevent alert storms. Attendees will leave with concrete configuration examples (Nagios notification commands and Ivanti workflows). This session is aimed at Nagios administrators and ITSM engineers who want to extend Nagios beyond monitoring into operational workflows. Expect practical code snippets, configuration excerpts, and a short Q&A. What I Hope You Learn: This session is aimed at Nagios administrators and ITSM administrators who want to extend Nagios beyond monitoring into operational workflows. Expect practical code snippets, configuration excerpts, and a short Q&A.
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Nagios Monitoring and the IBM i
IBM i remains a critical platform in many enterprises, yet monitoring it with modern tools like Nagios presents unique challenges. Our session would walk through our journey of building a Nagios plugin specifically for IBM i, starting with no prior Nagios experience and ending with a fully integrated solution for both Nagios Core and Nagios XI. We begin with a brief overview of what IBM i is and why it differs fundamentally from typical Linux and Windows systems, including challenges such as EBCDIC encoding, non-standard interfaces, and platform-specific operational risks. We’ll discuss key architectural decisions, including why we chose C over Java for performance and control, and how rethinking our connection/communication approach was essential to safe, efficient, scalable monitoring. The talk then follows our evolution from learning Nagios Core and developing custom check commands, to maintaining our own Linux-based Nagios stack enhanced with open-source components and ultimately working directly with Nagios XI by developing configuration wizards to simplify deployment. Finally, we’ll cover how this foundation allowed us to expand monitoring to additional IBM Power components, including VIOS and HMC. What I Hope You Learn Attendees will gain practical insights into developing Nagios plugins for non-traditional platforms, avoiding common pitfalls, and successfully bringing historically siloed systems into modern monitoring workflows.
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Nagios on Small Board Computers
Last year I presented on my home datacentre and how Nagios was used to monitor the numerous and increasingly random operating systems I run. As part of that I based my Nagios installation on standalone Raspberry Pi systems running Nagios Core. This time I will discuss and explain how to use Intel based small board computer systems to perform the same tasks – but using Nagios Core Services Platform as the base. A number of different hardware platforms will be shown, all with the same criteria – does it fit in my pocket? Part of the presentation will include recipes for building these systems and the pitfalls and promise associated with them. What I Hope You Learn For the attendees – you’ll see one of the smallest Nagios monitoring system built (the processing heart was given away taped to the front of a magazine!) You’ll also gain an insight as to how easy it is to deploy just enough monitoring for almost anything without trying too hard! In fact, it might just be disposable monitoring…
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Applying ML Classifiers to Service Loops & the Critical Response
Using deterministic machine learning techniques as a precursor to agentic capabilities keeps operations teams in control, and is a force multiplier of their capabilities. At Vaisala we use Nagios to keep our network performance at our fingertips. When our weather stations alert telemetrically, having a context report ready to understand the problem improves timely restorative actions. These reports can collect data from a wide range of sources, sort based on relevance, and even present recommended actions. What I Hope You Learn Let’s discuss how to identify which classification tools can be most effective for critical response, and how to prepare data from monitoring and CRM tools for training deterministic classifiers, and how to implement them in the operations work flow.
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Automating Nagios Monitoring with Ansible
This session focuses on Nagios configuration management. We will reference an existing Ansible collection that handles both Nagios Core and Nagios XI, focusing on managing hosts, services, and groups with Ansible, where the Git repository serves as the single source of truth. The session covers Jinja2 templating to generate complex monitoring logic from simple YAML variables and explores a Git-based workflow where every push triggers a CI pipeline validation before an automated reload reaches production. What I Hope You Learn Attendees will learn how to transition from manual configurations to an automated, idempotent, and version-controlled monitoring environment, reducing friction and providing a clear audit trail for all changes. A live technical presentation featuring a pipeline demo on two running environments -Nagios Core and Nagios XI- where configuration changes are deployed via Ansible in real time.
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InfluxDB, Grafana, and Nagios XI: Using Them to Run an Astronomical Observatory
I’ll show how Nagios XI (now with InfluxDB!) can be combined with Grafana, Home Assistant, MQTT, and a plethora of astronomy software to manage and operate a remote astronomical observatory. Find out how weather, solar storms, the Sun and Moon, satellites, the space station, and a ton of astrophotography equipment all combine to predict, plan, and photograph the skies. All controlled with Nagios software! No astrophotography knowledge required, but you might get hooked. If we’re REALLY lucky, we might be able to do some live astrophotography that night, depending on the weather.
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Summoning the Single Pane: A Live Nagios Fusion Ritual (with giveaways!)
Step into a live monitoring conjuring where a handful of humble Raspberry Pis are transformed into a unified, all-seeing observatory using Nagios Fusion. We will install, configure, and weave multiple Nagios instances together in real time, watching scattered alerts collapse into a single, coherent view—no smoke, just well-crafted telemetry. When the spell is complete, the Raspberry Pis that powered the magic will be released into the audience, enchanted, configured, and ready to continue their watch in new domains. In other words, we’ll be running a live Nagios Fusion install, configuration, and monitoring on a handful of Raspberry Pis, and then give those Pis away to audience members. This will be all “hands-on” with minimal slides and maximum fun.
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Using AI to Create Custom Plugins
This presentation covers my environment: ~100 custom plugins that have either been improved using AI or completely written by AI.
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Overview of Nagios Core
A how-to of Nagios Core — walking through the basics of writing configs to get Nagios Core working in your environment. For those already using Core, hopefully you’ll discover new ways to customize it for your system. And for everyone else, hopefully enough of you will think it’s too complicated and buy XI instead!
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Nagios Log Server: Product Overview & What’s New
Get a complete overview of Log Server, including key features, recent updates, and what’s new in the latest release.
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Struggling to Write Custom Plugins? How AI Can Bridge the Gap
Many Nagios environments rely on custom plugins to monitor modern systems, yet suitable existing plugins are often outdated, incomplete, or unavailable. For administrators who are not full‑time developers and lack access to dedicated development resources, creating custom checks can become a major challenge. The presentation includes a real-world example of building a custom check, highlighting how assumptions were challenged by real system output and how issues were identified and corrected, providing attendees with realistic, production-focused lessons they can apply in their own environments. What I Hope You Learn This session demonstrates a practical, repeatable approach for using AI as a collaborative tool to design, refine, and validate custom Nagios plugins. Attendees will learn how AI can help translate real monitoring requirements into usable checks while maintaining trust, accuracy, and long‑term maintainability through proper guardrails and validation.
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From Reactive Alerts to Predictive Intelligence – A Live ML Demo
This session demonstrates how to extend Nagios Core with a machine learning sidecar that transforms it from a reactive alerting platform into a predictive intelligence engine without replacing or modifying Nagios itself. Using three open-source ML models Facebook Prophet for time-series forecasting, scikit-learn’s Isolation Forest for anomaly detection, and a weighted health score algorithm, the sidecar predicts service threshold breaches up to 30 minutes before they occur, feeds real-time passive check results back into Nagios, and delivers everything through a live dashboard via WebSocket. The result: the Nagios services page turns WARNING → CRITICAL in sync with what the ML model predicted minutes earlier. Demo The session includes a fully live demo running on two Debian 12 VMs. The audience watches CPU, disk, and network metrics degrade in real time, sees the ML model predict threshold breaches 2+ minutes before Nagios fires a CRITICAL alert, and observes both the ML dashboard and the Nagios services page respond in sync. The complete lab environment is reproducible from a single Ansible command in under 20 minutes and will be publicly available on GitHub after the conference. What I Hope You Learn Every Nagios shop already has the data this system needs, it lives in perfdata files that Nagios has been writing since day one. This session shows that the path from reactive monitoring to predictive intelligence requires no new infrastructure, and no new agents. One configuration line unlocks everything. Attendees leave with a working architecture, a public GitHub repository, and a realistic, no-hype understanding of what ML-powered monitoring actually looks like in practice.
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Monitoring Windows
A hands-on presentation showing how to actually monitor Windows and common services such as OS, file shares, SQL Server, custom (in-house) applications, etc.
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Managing the NSClient Agent the Easy Way
A talk showcasing how to use the new web service for installing, configuring, and managing NSClient++ installations as well as how to automate monitoring of services based on what is installed on the machines and how to install and manage scripts across multiple machines.
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CHG Cybersecurity
Healthcare organizations operate under extreme pressure: always-on clinical systems, sensitive patient data, strict compliance requirements, and highly distributed infrastructures. In this session, I will share my hands-on experience leading the design, implementation, and operationalization of a multi-site Security Operations Center (SOC) for Cleopatra Hospitals Group (CHG), one of the largest healthcare groups in Egypt. The presentation will walk through how we moved from fragmented security controls to a structured, measurable, and auditable SOC operating model. I will highlight how we defined a clear “Definition of Done” for the SOC program—covering technology readiness, data quality, integrations, operational KPIs, and governance—ensuring the SOC was not only deployed but truly operational and sustainable.
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Nagios XI: Product Overview & What’s New
Get a complete overview of XI, including key features, recent updates, and what’s new in the latest release.
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Getting the Most Out of Nagios XI
A hands-on session focused on configuration, optimization, and real-world use cases to help you get the most out of XI.
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Getting the Most Out of Nagios Log Server
A hands-on session focused on configuration, optimization, and real-world use cases to help you get the most out of Log Server.
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Getting the Most Out of Nagios Network Analyzer
A hands-on session focused on configuration, optimization, and real-world use cases to help you get the most out of Network Analyzer.
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Getting the Most Out of Nagios Fusion
A hands-on session focused on configuration, optimization, and real-world use cases to help you get the most out of Fusion.
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Stalking Notify Feature Implementation
Regarding the Stalking Notify feature proposed by Jake Omann, I have implemented a functionality where a check will notify regardless of the Notification Interval when a host and/or service—”stalking_notify” and “stalking_options” enabled and already in a PROBLEM state—will have its (HOST/SERVICE) OUTPUT changed at the next cycle of checks. The core logic as well as the motivation behind this development will be dived into to present it as an opportunity for opening up Nagios for more integrations between systems and platforms.
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Modernizing Monitoring — Scaling Nagios through Automation, AI, and Configuration as Code
Monitoring often suffers from ‘success sprawl.’ As organizations grow, acquire new entities, or scale their infrastructure, monitoring configurations frequently become messy, insecure, and difficult to manage. This session provides a practical roadmap for transforming chaotic, legacy environments into lean, automated, and future-proof Nagios powerhouses. Drawing on two recent large-scale professional services engagements, we will demonstrate how to transition from manual intervention to a programmatic lifecycle for your monitoring infrastructure. Key highlights of this session include: -> Case Study 1: The Secure, Programmatic Rollout How a major UK public transport operator replaced manual configuration with a robust “Configuration as Code” approach. We will demonstrate how we utilized Ansible to build a secure, scalable framework that allows for rapid, repeatable deployments across a complex, distributed network. -> Case Study 2: From Legacy Mess to Elegant XI We detail the journey of a global insurer migrating from legacy RHEL4-based Nagios to the latest version of Nagios XI. We discuss the critical discovery phase, how to untangle complex, undocumented legacy configurations, and how we used AI to develop a future-state roadmap that drastically reduced technical debt. Attendees will leave with actionable strategies to improve the manageability of their Nagios environments, increase the security of their configuration, and ensure their monitoring infrastructure can scale with their business. We will conclude with a brief look at how A24’s professional services can be applied to your specific Nagios challenges. including: -> Improve configuration, security, performance, ensure rapid issue resolution, and build in-house capability so your teams can confidently manage and scale your monitoring infrastructure in line with evolving business needs. -> Leveraging A24 Nagios health check assessments, 24×7 support, and comprehensive training to maximize your investment in Nagios.
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Monitoring Proxmox with Nagios XI
This session covers Proxmox monitoring with Nagios XI. I’ll discuss what metrics are available in the Proxmox API, introduce Proxmoxer and the monitoring wizard, and walk through using the Proxmox monitoring wizards to create host and service objects in Nagios XI, including what’s created within CCM and advanced configuration with macros.
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Nagios Network Analyzer: Product Overview & What’s New
Get a complete overview of Network Analyzer, including key features, recent updates, and what’s new in the latest release.
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Overview of Nagios Solutions
Covering each Nagios solution in summary and the ways they work together to provide comprehensive infrastructure insight. Behind the Session Title Nagios Core, Nagios XI, Nagios Log Server, Nagios Network Analyzer, and Nagios Fusion, both individually and as an integrated whole. This will be a mid-high level discussion. What I Hope You Learn This session will provide you with an understanding of the features, functions, and value of the entire suite of Nagios Monitoring Solutions, including how they work together. You’ll leave the discussion with a comprehensive understanding of the infrastructure monitoring needs that each tool is best suited to cover.
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Transforming Nagios with AI: Building an LLM-Powered Monitoring Assistant and Predictive Anomaly Detection Engine
We at the Ellucian monitoring team are drowning in alerts, logs, and complex distributed systems, which is making it harder than ever to identify root causes quickly. In this presentation, we showcase how we integrated Large Language Models (LLMs) and AI-driven anomaly detection with our enterprise Ellucian Nagios to radically improve incident detection, triage, and response. We demonstrate how an LLM-powered Monitoring Assistant can interpret Nagios alerts, summarize system health, and provide context-rich remediation suggestions. The assistant converts noisy alerts into clear narratives, analyzes logs in real time, and offers guided troubleshooting steps through ChatOps interfaces, dramatically reducing cognitive load for the monitoring engineers. Alongside this, we introduce our AI-enhanced anomaly detection layer that analyzes time-series and historical performance data to identify subtle deviations before traditional thresholds are crossed. By predicting likely failures and prioritizing alerts based on impact, AI elevates Nagios from a reactive tool to a proactive observability partner. We will share actionable architecture patterns, prompt-engineering techniques, failure-safety considerations, and integration strategies using APIs, plugins, and automation frameworks. What I Hope You Learn Attendees will walk away with a blueprint for augmenting Nagios with state-of-the-art AI capabilities—without replacing their existing monitoring ecosystem. This talk is ideal for organizations seeking to modernize their monitoring workflows using AI.
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From Monitoring AI Observability: A Practical Walkthrough
AI agents are changing how systems behave — but how do you actually monitor them? This session explores the shift from traditional monitoring to AI observability in a simple and practical way. Through a guided exercise, attendees will walk through a real-world scenario to understand what needs to be monitored, where risks appear, and how to maintain reliable AI systems. Using this approach, the session shows how tools like Nagios XI can play a key role in these environments, helping teams build visibility and keep AI-driven operations stable. What I Hope You Learn Attendees will leave with a practical framework to approach AI observability, along with clear ideas on how to adapt existing monitoring strategies to evolving challenges.
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See You In September!
Connect with IT professionals from around the world, gain hands-on experience, and explore the latest innovations in IT monitoring.