The first half of 2026 has witnessed the transition of artificial intelligence from an experimental playground into a cyber warfare domain. In fact, threat actors have shifted from basic prompting toward highly automated, multi-stage operations. This shift is characterized by a bifurcation of threats. On one side, attacks exploiting inherent AI vulnerabilities and architectural boundaries,…
Read MoreFor a long time, software development has had a fairly comforting structure: You had a problem, you wrote some code, you shipped it, and then you moved on to the next problem while quietly pretending the previous one wouldn’t come back to haunt you at all. Mission accomplished. That model is starting to break, not…
Read MoreWhen our work on the NetEye 4.47 upgrade started, one technical dependency quickly became impossible to ignore: Grafana dashboards that still relied on the legacy IDO MySQL database had to be moved to IcingaDB first. That wasn’t the interesting part, though. The interesting part was how to do it safely. These dashboards are part of…
Read MoreOne practical approach to how the IT function of a global enterprise can govern strategy, manage digital products and services, and deliver work continuously, using a coherent three-layer model based on a hybrid operating model. Building on What We Already Know Running IT in a global enterprise is not a single problem. It is at…
Read MoreHi everyone 😃 Today I’d like to walk you through some experiments we ran about load-balancing requests to LLMs in Kubernetes. Let’s dive deep into it! Why Deploy LLMs in Kubernetes? Well, Kubernetes has now established itself as a leading technology when it comes to workloads orchestration. And with time the increasing support for accelerators…
Read MoreThe code is the structure, the LLM is the glue at the joints. There’s a widespread misconception about automations “powered by artificial intelligence”: People picture a model you give an order to, which then carries out a complex operation from start to finish all on its own. It’s a seductive image, and almost always wrong….
Read MoreDuring our consulting activities we frequently find ourselves having to collect data from SNMP devices that do not support SNMPv3 for data encryption. This type of traffic is readable on the network and can create security problems and noncompliance with company certifications, for example ISO27K. For this reason, you might have devices segregated on a…
Read MoreRunning Ollama locally or on dedicated hardware is straightforward until you need to know whether a model is actually loaded in RAM, how fast it generates tokens under load, or when memory consumption reaches a threshold that affects other workloads. A simple TCP port check confirms the process is alive, nothing more. This tutorial shows…
Read MoreA practical look at SAFe, LeSS, Scrum@Scale, Disciplined Agile, Nexus, and custom hybrid models for enterprise IT organizations using Jira, Jira Service Management, and Confluence Cloud. Scaling Agile in the Enterprise: The Question Nobody Really Wants to Answer For many organizations, Agile starts small and local. A few teams adopt Scrum, delivery improves, visibility increases,…
Read MoreModel selection, infrastructure sizing, vertical fine-tuning and MCP server integration. All explained without the fluff. Why Run AI on Your Own Infrastructure? Let’s be honest: over the past two years, LLMs have evolved from a tool perceived as experimental and reserved for researchers into something companies use every day for concrete, practical tasks. And with…
Read MoreThe current architecture and underlying technologies behind the Atlassian Rovo engine, in light of recent developments The last few months show the path forward If you’ve been following the evolution of AI in recent years, you know changes come fast and often, and even a single year can be much too long an interval to…
Read MoreHi! Today I’d like to discuss a bit a quite hot topic in this world newly full of LLMs, namely MCP Servers! We’ll first see what MCP is and why it was created, moving then to a short hands-on with NetEye and in particular, the Elastic Stack feature module. Wait, what? MCP? What are we…
Read MoreDecember 2025: What’s New from Atlassian As we wrap up 2025, the Atlassian ecosystem is undergoing a massive transformation! 🚀 From groundbreaking new features to updates designed to streamline every workflow, the latest news is officially here, promising to empower teams with even greater agility and collaborative power. If you haven’t had the time to…
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Will AI really change the Service Desk? Anyone who works in an IT office knows this: between tickets, locked accounts, and last-minute requests, the service desk is the invisible heart of the company.Lately, though, everyone’s talking about one thing: artificial intelligence. And the question is always the same:How much will it really change the way…
Read MoreIntroduction: What is MCP? The Model Context Protocol is an emerging open standard that defines how large language models and AI agents interact with external tools, services, and data sources. Instead of every AI provider building its own proprietary “tool calling” system, MCP provides a common protocol (typically over JSON-RPC) to expose capabilities such as…
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