Operations | Monitoring | ITSM | DevOps | Cloud

Accessing cloud infrastructure shouldn’t slow down product innovation. Yet for many engineering teams building AI-driven platforms, traditional hyperscalers often introduce unnecessary complexity, high costs, and slow provisioning cycles. At Civo, we’ve seen a different approach emerge. Our cloud platform enables teams to move faster with Kubernetes, compute, and networking designed for simplicity and speed.

Over the past year, the term Internal Developer Platform has appeared everywhere in engineering discussions. At first glance, it might sound like another buzzword for a fancy dashboard. But the growing interest reflects a real shift in how organizations manage developer productivity and infrastructure. In this post, we will unpack Internal Developer Platforms (IDP), why they exist, what problem they solve, and whether it is worth considering adopting one.

Over the past few months, we’ve shipped a significant amount of functionality in Konstruct. To make sense of it all, I’m kicking off a new monthly series where we’ll share what’s new, why we built it, and where it’s going next.

In 2024, Civo acquired Konstruct (formerly Kubefirst) to reinforce our commitment to simplifying cloud computing complexities. When this acquisition was made, it began a whole new chapter for the team behind Konstruct. Over the years, we assembled our team by working with a community of thousands of engineers in what can be a very complex cloud native environment. We were fortunate to join forces with Civo as they aligned with our cloud native and portable vision.

Since 1999, when NVIDIA invented the GPU (graphics processing unit), the demand has “skyrocketed”. At CES 2026, CEO Jensen Huang announced their latest GPU, named after Vera Rubin. This follows on from the announcement of their Blackwell lineup only two years ago. Through this blog, we’ll explore what the industry knows about the Vera Rubin so far. Plus, we will take a look at some specs in comparison to the NVIDIA B200 from the Blackwell lineup.

"I wish I knew about this a couple years ago..." Over my seven years as a cofounder, I've heard some version of that line more than any other. Usually, it comes at the end of a demo to someone who has spent a year getting to something not even close to what they're seeing on my screen. The story is always the same. An organization adopts Kubernetes and arrives at the inevitable conclusion that they need a platform.

Having been around for a decade, the world's most popular container orchestrator has set a standard for how we run containers at scale. According to the CNCF, cloud-native adoption has reached 98% across organizations, showing that Kubernetes adoption is not slowing down. Whether you are looking to land your first kubernetes role or you are experienced and are looking to brush up on your knowledge, we’ve put together the top questions to learn more about Kubernetes.

In 2025, European Commission President Ursula von der Leyen announced plans for an EU Cloud and AI Development Act, prioritizing digital sovereignty amidst growing concerns over data security and privacy. These concerns have been fueled by Edward Snowden's 2013 revelations about US surveillance and further intensified by the Trump administration's actions and rhetoric, including its criticism of EU digital regulations and threats to US tech companies.

This blog is based on the webinar, “From idea to agent: Building AI workflows with relaxAI and n8n”. You can watch the full recording by clicking here! AI isn’t slowing down. We’re moving from “ask a chatbot” to agents that run the multi-step workflows, use tools, and are built for real business processes. Most teams aren’t blocked by ideas. They’re blocked by three things: complexity, cost, and control.

The BCG recently released a report on the cost of cloud. The findings? Hyperscalers are charging up to 30% more for their sovereign-cloud offerings. It supports an earlier notion that if you want control, compliance, and jurisdictional certainty, you have to pay a premium. At Civo, we think that is broken. As data volumes grow and AI workloads become central to business strategy, the economics of cloud computing are being re-examined.