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Modern cloud environments provide several different mechanisms and services for deploying a web application. In a more traditional scenario, an application may be deployed to a bare metal server or a virtual machine (VM).

At The Curve we do a lot of talking about “The Internet of Things”, we offer IoT consultancy services, we even host IoT events, and at the office, there’s more often than not, a half-assembled “thing” sitting on a desk waiting for its life as a connected internet device to begin.

We’re often engaged by our clients to develop Minimum Viable Products (MVPs) of a given product or system. More often than not we see a common and recurring problem with the original brief – the “MVP” is packed full of features of varying shapes and sizes.

Jake and I recently had the opportunity to attend the Cloud & AI Infrastructure London 2025. This event brought together top industry leaders, innovators, and professionals from across the cloud and AI sectors to explore the latest advancements in technology and infrastructure.

As a recently appointed Freeman at the Company of Cutlers in Hallamshire, The Curve were given the opportunity to attend their regular monthly Tuesday Breakfast members event, and present a topic which gives rise to some of the most pressing challenges and opportunities facing companies today.

Story points estimation is an estimation method that is often used in agile software development. Story points are a unit of measure used in agile project management to estimate and compare the complexity, effort, and relative size of features or user stories within a project.

DeepSeek’s latest announcement is making waves, but while it’s a big splash today, the future of AI will look very different.We’re moving towards an era where AI capabilities won’t just be dominated by a few tech giants—smaller, specialised players will emerge, with powerful models rivaling today’s frontrunners. This shift brings both opportunity and risk.

Sometimes it can be useful to request a manual approval before a deploy is unleashed on production. GitHub supports manual approval when you use environments, but only on public repositories or private repositories for GitHub Enterprise. In this post, I look at how GitHub Actions and Microsoft Teams can be used to create a manual approval process.

We use continuous integration and continuous deployment techniques regularly in the delivery of our projects. Whilst our team predominantly uses GitHub Actions these days, we’ve supported a variety of CI tooling including Jenkins and GitLab Pipelines.

Estimating the effort involved in any project can be a challenge, and software projects are no different. Arriving at an accurate estimate and plan is tricky, to get right.