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Icinga Installation Guide - Part 1 - Getting started with a base Icinga Installation

Get up and running with Icinga 2 and Icinga Web in this step-by-step installation guide. In this video, we walk you through a complete base installation of Icinga, covering everything from setting up the database to accessing the web interface for the first time. This will help you get to the point of a working installation, especially if you're new to Icinga. We take you through the full process, including installing required components, configuring databases, enabling services, and completing the web setup wizard.

Icinga Installation Guide - Part 2 - Installing Icinga Director and configuring your first objects

Take the next step with Icinga by adding the powerful configuration management tool Icinga Director to your setup. In this second part of our installation guide, we focus on simplifying and scaling your configuration using the Director. You’ll learn how to connect it to your existing Icinga 2 instance, create reusable templates, and start monitoring hosts and services through a more flexible, web-based interface.

Certificate distribution is the last mile nobody solved

Certbot is good software in the classic Linux tradition: it does one thing simply and expects you to chain it together with everything else. One server, one certificate, done. The trouble is that most environments are not simple. And the moment yours isn’t, you discover that renewing a certificate and getting it deployed are two different problems, and deployment is your problem.

Leveraging Cognitive Diversity to Tackle System Complexity

Most engineering leaders today understand that diversity matters. They've built teams that reflect a range of backgrounds, functions, and experience levels. They run postmortems, retrospectives, and architecture reviews that bring multiple voices to the table. They believe, not unreasonably, that this variety of perspectives leads to better decisions. But there's a problem hiding inside that assumption that can undermine everything: who people are is a surprisingly poor predictor of how they think.

NVIDIA's Jensen Huang just described your next big cost problem

On March 18, Jensen Huang took the stage at NVIDIA’s GTC conference in San Jose for a keynote that ran well over two hours — covering everything from CUDA’s 20-year history to humanoid robots that may one day wander Disneyland. But buried inside the spectacle was a remarkably clear-eyed articulation of the economic forces now bearing down on every enterprise that builds on cloud infrastructure.

How Vibe Coding A Self-Help App Made Me An AI Believer

For longer than I’m proud of, I was an AI skeptic. Then, over the holidays, I vibe coded an app whose sole purpose was to make me a better person. The app is a motivator. It’s programmed to send me timely reminders along certain themes, like reading every day, making healthy eating choices, and giving myself plenty of time to plan for anniversaries and birthdays.

70% to 90% of AI Projects FAIL. Here's Why.

Why are so many modern AI initiatives falling short of their ROI? In this episode of iOPEX, Malcolm Lett (Technical Lead) breaks down the critical mistakes companies make when implementing AI and how to choose the right tools for real success. Most organizations treat Generative AI as a "one-size-fits-all" solution, but it’s only one piece of the puzzle. Malcolm explores the four essential domains you need to balance to build a winning strategy.

Observability Lessons From OpenAI

Writing code is moving from the good old IDE into the realm of autonomous AI agents. One example of this is OpenAI, which has been developing internally with 0 lines of manually written code. You can read about their workflow in their engineering blog: Harness engineering: leveraging Codex in an agent-first world. For me, the main takeaway of OpenAI’s article is how AI has rewritten the constraints equation.

Drastic RAMifications: how UK businesses can weather the global memory shortage

Tech headlines are being dominated by the perfect storm that has led to a global shortage of Random Access Memory (RAM). As the short-term, temporary memory that handles data for processing and applications, RAM – and specifically Dynamic Random Access Memory (DRAM) – is a foundational business technology. The primary driver of this shortage is an industry-wide shift to High-Bandwidth Memory (HBM). This is the specialised memory required for artificial intelligence (AI).