Operations | Monitoring | ITSM | DevOps | Cloud

Data sovereignty wasn’t a major topic just a few years ago and now it’s becoming a major economic opportunity for regions across the UK. In this clip from Perspectives from the Edge, Katie Gallagher OBE from Manchester Digital discusses why the conversation around data sovereignty has shifted, and how the rise of AI is accelerating demand for trusted regional digital infrastructure. As organisations rethink where data is stored, processed and governed, regions like Manchester are increasingly well placed to benefit through investment, innovation and digital skills growth.

Understand what hybrid cloud monitoring is and why it’s critical for managing modern distributed IT environments. Hybrid cloud monitoring helps organizations unify visibility across on-prem infrastructure, public cloud platforms, virtual machines, containers, and Kubernetes clusters in a single monitoring platform. In this video, learn how fragmented monitoring tools create operational blind spots and slow down incident response across hybrid environments.

Can you trust AI to run your platform? AI can now spin up production infrastructure in minutes — but speed cuts both ways. In this episode, Nana(TechWorld with Nana) sits down with Doron Grinstein and Dan Wilson, two architects who built, broke, and fixed platforms at VMware and SAP, for a no-hype look at platform engineering in the age of AI.

The wait is over for Azure-first organizations. Cribl just launched Cribl Lake Bring Your Own Storage (BYOS) for Microsoft Azure, giving you full data lake power without moving a single byte of telemetry out of your environment. Join us to see how you can finally get the flexibility of a modern data lake while keeping your data in Azure.

AI isn’t about replacing engineers. It’s about leverage. The teams that win will be the ones that: Triage incidents faster Correlate signals automatically Reduce manual investigation Automate repetitive operational work In observability, that means asking: AI won’t eliminate expertise, it amplifies it. The real risk isn’t AI taking your job. It’s competitors using AI to operate at a speed and efficiency you can’t match.

One of the most powerful capabilities in K8s is the ability to autoscale resources to meet demands, scaling resources up during peak periods to ensure performance, and down again during lower periods to save money. In this joint session, Lucidity and Kubex walk through what end-to-end K8s optimization looks like when you address both layers together. We cover: Expect real examples, not slides full of theory. You’ll leave with a clear picture of where waste is hiding in your environment and a prioritized approach to addressing it.