Operations | Monitoring | ITSM | DevOps | Cloud

In today’s small and medium-sized UK businesses, most of the cybersecurity budget goes into protecting data and strengthening authentication. Those are important measures – the cost of a data breach is still enough to close your firm, after all. But they aren’t enough. Because in 2025, thanks to increased capabilities of DDoS attacks, you don’t have to lose your data to lose your business– you just have to lose access to it.

We are thrilled to announce that the Cortex Model Context Protocol (MCP) is now available in the Devin marketplace. This integration connects the world’s first AI software engineer with the real-time context of your entire engineering ecosystem, as managed and measured by Cortex. The rise of AI software engineers like Devin fundamentally changes how organizations tackle their biggest technical challenges.

AI adoption is reshaping how organizations innovate. It’s also driving cloud costs higher. CloudZero’s State Of AI Costs In 2025 report finds that for mature FinOps and engineering leaders, visibility into AI costs is a critical first step, but it’s not enough. To enable fast, responsible AI and machine learning innovation at scale, teams need pragmatic, flexible guardrails. They don’t need rigid budgets or knee-jerk shutdowns that slow progress or push teams into shadow ML.

Amazon Web Services (AWS) provides more than 200 services. Among those, Amazon Elastic Compute Service (ECS), Elastic Kubernetes Service (EKS), and AWS Fargate help deploy and manage containers. Choosing between these services can be challenging. They seem similar on the surface (and are all popular). But each offers unique benefits and limitations. In this guide, we compare the three services, discussing the best use cases for each, and helping you choose the best fit for your business.

All the major cloud providers enable users to attach business context to their infrastructure in some way. This process — known as cloud cost allocation — is how companies map spend to the teams, products, or features driving it. Done well, cost allocation fuels smarter business decisions. It connects cloud bills to business value, helping teams not just control spend but also understand unit economics and margins.

Cloud gaming is changing the way we play. Instead of buying expensive hardware, players stream games from the cloud, like Netflix for games. This is no longer a futuristic idea, it’s here. Services like NVIDIA GeForce Now, Sony PS Plus, and Xbox Cloud Gaming have shown what’s possible: playing high-end games on low-end devices by streaming all of your favorite games – from indie to AAA – from powerful cloud servers.

In FinOps, rightsizing means adjusting cloud resources (instance types, number of CPUs, amount of memory, storage, databases, containers, and many other configuration parameters) to match actual workload requirements. It’s one of the most powerful levers in the FinOps toolbox, and for good reason. Consider: Average CPU utilization across Kubernetes clusters sits at just 10%, according to Cast AI’s 2025 Kubernetes Cost Benchmark Report.