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The latest News and Information on Cloud monitoring, security and related technologies.

AI spend is exploding. Most companies cannot prove ROI.

Only 14% of CFOs can prove AI ROI. OpenAI’s gross margin fell from 40% to 33% in 2025, well below its 46% target. Even the AI providers cannot reliably predict what AI will cost. Companies are scaling AI faster than they can measure it: more tokens, more agents, more model calls, more spend moving through systems finance cannot yet see. Every board is asking the same question: What is this AI investment returning? Most companies cannot answer it. The ones that can will compound their advantage.

The Hybrid Shift: Where Workloads Are Headed and How to Move Them

Businesses migrating from a single, public cloud provider has been the direction of travel of UK digital infrastructure for years. As far back as 2020, Barclays found that 43% of enterprise CIOs were already planning to bring workloads back from the public cloud to on-premises or private cloud infrastructure. Since then, IDC, Gartner and a host of vendor surveys have tracked an increase in this intention.

Security and reliability review: 7 delivery model weak points to check first

Security audits that focus only on application code often miss the delivery layer entirely. That is where the most common and most avoidable failures live. Most teams treat security as a layer added on top of a working system. The problem is that the delivery model itself introduces risk before a single line of application code runs. When deployments are manual, environments are inconsistent, or configuration drifts across stages, the system behaves unpredictably.

Data sovereignty is an opportunity for regional growth

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.

Hybrid Cloud Monitoring Explained: On-Prem + Cloud + Kubernetes in One View

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.

Let AI Run Your Cloud Infra? Ex-VMware & SAP Architects Weigh In. (ft. TechWorld with Nana)

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.

What Is Hybrid Cloud Monitoring (And How To Actually Do It Well)

Most IT teams running a real hybrid setup are not short on data. They are short on a place where the data agrees with itself. By the end, you will know what to ask a vendor for, where teams usually trip, and how to scope a proof of concept that does not burn a quarter. Hybrid cloud monitoring is the ongoing collection of telemetry across your on-prem kit and one or more public clouds, treated as one environment instead of two or three. The goal is not just visibility.

Top 7 Multi-Cloud Management Platforms for Enterprise Teams

Multi-cloud management becomes difficult in a very specific way. The problem is usually not that an organization uses more than one cloud. The real problem is that architecture, governance, cost control, provisioning standards, and team workflows start evolving at different speeds. One team is optimizing delivery. Another is trying to lock down policy. A third is dealing with private infrastructure that still matters. A fourth is trying to make cloud spending predictable.

The SaaS SEO Playbook That Prioritizes Conversions Over Clicks

For years, SaaS companies treated SEO like a traffic competition. The goal was simple: publish more content, rank for more keywords, and drive as many visitors as possible to the website. Marketing dashboards looked impressive. Teams celebrated traffic milestones. Investors saw upward graphs and assumed momentum was building. But somewhere along the way, a lot of SaaS founders started noticing a problem nobody wanted to talk about openly.

Kubernetes Optimization Beyond Requests and Limits - Node Scaling Blockers

Many of us understand the concept of Kubernetes Requests and Limits, and that by reducing over-sized resource requests we can reduce waste in our clusters. And for GKE Autopilot and EKS Fargate clusters that is true. Because you’re being billed directly for the resources you’re requesting, driving down requests can result in instantaneous savings. However in most hosted Kubernetes environments you’re not actually being billed for requests.