Build versus Buy: Software and SaaS in the Age of AI
Why should I buy software or SaaS if Claude or Codex can build exactly what I want?
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NHS and healthcare data on UK Sovereign Cloud: A compliance primer
Healthcare data sits at the top of the sensitivity hierarchy. Patient records are personal data under UK GDPR. Medical records are separately regulated under sector-specific frameworks. Clinical research data may be subject to research-specific rules. Genomics data carries residency implications that go beyond standard personal data protections. NHS data specifically is governed by frameworks that add UK public sector expectations on top of the healthcare-specific ones.
Grafana Pyroscope: Call Tree, Heat Map, & Adaptive Profiles (August 2026 Community Call)
We will look at some new features: Call Tree, Heat Map, & Adaptive Profiles Can't comment in the chat? You may need to create a channel. Join us live for an introduction to flame graphs. We’ll cover what they are, how to read them, and how to use them to find performance bottlenecks in your applications. Bring your questions! Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, traces, and profiles. Our forever-free tier includes access to 10k metrics, 50GB logs, 50GB traces and more.
Where AI Media Actually Slows Teams Down - And It Isn't Generation
The constraint on AI-generated video and imagery inside most organisations is no longer the model. It is the review loop, the consistency of a set, and a cost model nobody agreed on in advance - and none of those three get solved by switching to a better generator. In short: budget for iteration rather than render time; build a reference library before the first deliverable; define what a project's generation allowance is up front; and evaluate models on how they respond to a single prompt edit rather than on peak output quality.
5 Best CAFM and Facilities Management Software Providers in 2026
Managing facilities across multiple businesses, sites, assets, and contractors can quickly become a full-time administrative job. That's where Computer-Aided Facilities Management (CAFM) software comes in. It gives teams a central place to manage reactive maintenance, planned preventative maintenance (PPM), assets, contractors, compliance, and more.
Do Growing Tech Teams Need a Virtual CISO?
Scaling a modern software startup often demands massive focus on feature delivery and market expansion. Technical teams push updates fast, so internal defense often drops down the priority list. Founders handle operational risk on their own until compliance demands appear during client negotiations. Bringing in experienced guidance helps prevent operational downtime before major security issues surface.
Top tips: Small digital habits that save you hours every week
Top tips is a weekly column where we highlight what's trending in the tech world and list practical ways to explore these trends. This week, we're looking at something we rarely think about until the end of the day: the tiny digital habits that quietly eat away at our time. Have you finished a workday feeling busy but strangely unaccomplished? You started with the best intentions.
Separate Application Latency From Network Failure With Hubble
The request timed out after five seconds. The application said context deadline exceeded. The dependency was healthy, its dashboards were green, and its own latency histogram showed nothing above 30 milliseconds.
Cavalry or cattle? Let the machine decide
Long before dashboards and decibel-loud alerts, there were watchtowers. Every kingdom worth its salt had them, men perched on hills, lighting fires to signal the moment they spotted something suspicious on the horizon. It was, in its time, a fine system. The trouble was that watchmen, being human, occasionally mistook a herd of cattle for an invading army, or a dust storm for smoke, and lit their fires anyway.
Sharing GPUs without Flying Blind: Kubernetes Patterns for AI Inference
GPU sharing is quickly becoming a practical requirement for Kubernetes-based AI inference, as many modern workloads don’t need a full GPU to deliver value. But safely placing multiple containers on the same accelerator brings new challenges: scheduling, fairness, isolation, observability, and noisy-neighbor behavior. This 20 min session explore the GPU sharing landscape across Kubernetes: time-slicing, MPS, MIG, KAI Scheduler, and HAMi, and dives into the harder problem: operating shared GPUs in production, from tracking usage to enforcing fairness as demand shifts.