Operations | Monitoring | ITSM | DevOps | Cloud

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.

Synthetic Monitoring Is Broken. Your Production Traffic Can Fix It.

Synthetic monitoring has been a critical part of application reliability for years. It gives engineering and operations teams a way to proactively test applications, APIs, and critical customer journeys before users encounter problems. But there is a fundamental limitation with the traditional approach: Someone has to create the tests. As applications become more distributed and customer journeys become more complex, organizations can end up maintaining hundreds or even thousands of synthetic scripts.

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.

Stop Guessing Where the Network Broke

Modern IT teams invest heavily in monitoring infrastructure, applications, servers, and network devices. Yet when users report that a critical cloud service is slow or a branch office loses connectivity, one question often remains difficult to answer: where is the problem actually occurring? Is the issue inside your network? Is it your ISP? Has a routing change introduced excessive latency? Did an upstream provider experience an outage?

Garbage in, garbage out: Splunk's Steve Flanders on why AI can't fix your bad telemetry

Cortex co-founder and CTO Ganesh Datta sits down with Steve Flanders, who leads AI transformation at Splunk and wrote the book on OpenTelemetry, to talk about why AI acceleration without strong observability foundations creates more problems than it solves.