Operations | Monitoring | ITSM | DevOps | Cloud

In 2022, the Office of Communications (Ofcom) conducted a market study into the UK cloud industry to investigate whether the UK’s cloud market was working well, and if any regulatory intervention was needed¹. Ofcom concluded that the market was dominated by AWS and Microsoft, and that competition was limited, and referred matter to the Competition and Markets Authority (CMA) for further investigation².

A lot of IT organizations (I daresay most IT organizations) aren’t short on bots; they’re short on direction. You've got GenAI copilots here, virtual assistants there, and workflow bots running in many different tools. Maybe one automates diagnostics while another resets passwords. But none of them talk. None of them collaborate. None of them understand what the others are doing. That’s not automation; that’s entropy.

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If you’ve ever stared at your cloud bill and thought, “How on earth did this get so crazy?” — you’re not alone. Especially when AI workloads come into play, those GPU costs can feel like a runaway train. The good news? It doesn’t have to be that way. The magic happens when you’ve got someone from every team that cares about smart growth (FinOps, AI/ML, product, engineering, whatever) all in one room, looking at the same set of numbers.

Security threats aren’t always loud and don’t always crash systems or trigger alarms. Sometimes they creep in quietly as a steady stream of unauthorized login attempts, slow brute-force probes, or unknown IPs scanning your server for vulnerabilities. These behaviors often show up in logs before they surface in metrics but if you're only watching logs or only tracking metrics, you're missing part of the story.

“You fixed a bug in QA — great! But did that fix go into version control and get tested and deployed everywhere? If not, you just created drift, and more problems down the line.” Peter Kruis, Microsoft SQL Engineer at Monin Fixing a bug in the environment where it appears feels like progress, but without a proper process, it creates fragility everywhere else.

“We want developers to break things – just not for the customers. If all our tests are green, I get nervous that we’re not testing deep enough.” Naga Santhosh Reddy Vootukuri, Principal Software Eng. Manager, Microsoft Azure SQL Naga Santhosh, Sunny to most, leads a team that ships changes to Azure SQL databases worldwide. Those deployments must be fast, frequent, and invisible to customers. That kind of reliability doesn’t come from playing it safe during development.