Operations | Monitoring | ITSM | DevOps | Cloud

FinOps programs are maturing, and most organizations have better visibility into cloud spend than ever before. Dashboards are full of data. And yet costs keep climbing. The problem isn’t the data. It’s the gap between knowing where the waste is and actually eliminating it. In this joint session, Tangoe and Kubex come together to bridge that gap. Tangoe brings deep expertise in spend management and FinOps discipline, while Kubex delivers infrastructure-level optimization across cloud, Kubernetes, and the AI and GPU workloads that are rapidly becoming the next frontier of cost pressure.

Chunk sidecars give your agent CI-grade feedback in seconds. No push, no pipeline wait. Catch failures and fix them while the agent is still in context.

AI agents are making decisions, accessing systems, and resolving issues autonomously. But as organizations deploy more agents, one challenge becomes impossible to ignore: governance. Who has access? What changed? Who is accountable? The future of Autonomous IT requires autonomy with accountability.

Everyone seems to be doing TikTok challenges—but are they always harmless? From positive movements like the Ice Bucket Challenge to risky viral trends that have led to serious injuries, social media challenges can influence how teens think, behave, and seek attention online In this video, we'll explore: 0:00 Why teens are drawn to TikTok challenges & The hidden pressure of fitting in and going viral.

In this 90-second customer case study, Mehdi Salehi from Golfbreaks shares the operational and security gains his team saw with N-central. Highlights include about 20% annual cost savings, around 20 minutes saved per end-user support session, a 90% increase in third-party patch coverage, and about 70% improvement in server OS update coverage. Watch the short video to see how automation and a central pane of glass helped reduce the burden on the team and deliver greater peace of mind.

In Healthtech, downtime is more than a loss of revenue, it is a disruption to patient care. Whether supporting digital health platforms or AI-driven healthcare applications, infrastructure must remain secure, compliant, and highly available. Join Lucis and Qovery for a technical breakdown of building compliant and secure infrastructure that scales AI and healthcare workloads, handles traffic peaks, and maintains SOC 2, HDS, and HIPAA standards.

AI-powered worker safety monitoring: detecting helmets, vests, and compliance in real time.

Can a general purpose, open source operating system like Linux be deployed in safety-critical products? Can it achieve certifications to standards like ISO 26262? This question has become increasingly common in recent years. In this talk, Bryan provides a safety integrity qualification approach for Linux. It is composed of Linux Kernel, user space libraries (like libc) and user-space components (like init processes), up to ASIL B according to ISO 26262:2018.

The 2026 Observability Survey from Grafana Labs heard from over 1,300 engineers and leaders across 76 countries on the real-world role of AI in observability. The data reveals a sharp distinction between intelligence and autonomy — and a critical blind spot most teams have.

Asimov's Three Laws of Robotics are missing one — and when it comes to testing and observing AI, Nicole van der Hoeven argues that missing rule changes everything: before a robot can avoid harm, obey orders, or protect itself, there has to be a Zeroth Law: a robot must be observable. Because if you can't see what a system is doing, you have no way of knowing whether it's following any rule at all.