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By Civo Team
AI workloads have a distinctive infrastructure profile that's exposing the cost and architectural assumptions baked into public cloud over the last decade.
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By Simon Hansford
Most organizations know cloud costs are rising. Fewer realize that some of what they're paying isn't for infrastructure at all; it's a penalty for not being in control of it. That penalty has a name: Sovereignty Tax. It isn't a line item on your invoice. It won't appear in your cloud dashboard. But it's accumulating quietly, in egress fees, outage exposure, audit blind spots, and the creeping realization that leaving your current provider would be harder, and more expensive, than you ever anticipated.
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By John Dietz
Most organizations get the build versus buy decision wrong in the same way. They underestimate the cost of building while overestimating the cost of buying. In the recent Konstruct monthly webinar with M R Rishi (Platform Engineer at Civo), we explored the discussion surrounding whether you should build or buy your platform. If you want to watch the full discussion, watch the recording here.
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By John Dietz
Here's a scenario that's playing out in engineering teams across the industry right now. A developer uses AI to rapidly prototype a microservice. The code works. They deploy it to production. Six months later, something breaks. The system is under load, a database connection pools, and the service starts failing in subtle ways. The engineer pulls up the code, but here's the problem, they didn't write it. An AI assistant did. They don't understand the flow deeply. They don't know where to look first.
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By Emma Oram
Platform engineering has become one of the most discussed topics in cloud native infrastructure. Yet despite the rising focus, most conversations around platform engineering skip over the uncomfortable truths. What actually works at scale? When should you build versus buy? And how do you avoid the traps that trip up even experienced teams?
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By Civo Team
Most hybrid cloud strategies fail not at launch but at scale. The architecture works fine for the first year. The team's workloads are modest, the integration points are limited, and the operational overhead is manageable. Then the business grows. Workloads multiply, data volumes climb, the team expands, and the seams between public cloud and private infrastructure start showing.
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By Civo Team
AI's environmental cost is real, and it's growing. Training a large language model can consume the electricity of hundreds of households for weeks. Inference at production scale runs continuously, with GPU clusters drawing power around the clock. The data centers that house all of this are some of the most concentrated energy consumers in the modern technology stack.
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By Mark Boost
For years, vendor lock-in has been discussed as a theoretical risk. A concern to acknowledge in architecture reviews. A box to tick in compliance frameworks. A future problem that might need addressing. Our latest research reveals something more urgent. For UK organizations, lock-in isn't theoretical anymore. It's structural. It's measurable. And it's preventing organizations from acting on their own strategic priorities.
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By Mark Boost
In recent years, the conversation about digital sovereignty has focused on data. Where it is stored, who can access it, and which laws apply when something goes wrong. Those questions still matter, but AI is forcing us to think about sovereignty in a different way.
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By Civo Team
The cloud bill arrives at the end of every month, and somewhere in it sits a line item that nobody outside the infrastructure team really understands. It might be called "data transfer," "egress," or "outbound bandwidth," and it might be 5% of the total or even 25%. Whatever it is, it tends to be the line that finance asks engineering about, and engineering struggles to explain in a way that finance can act on. The problem is that egress is a fee that hides in plain sight. It's not on the marketing page.
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By Civo
Most cloud providers give you the hardware and leave you to figure out the rest. Civo AI is different. Chief Innovation Officer Josh Mesout explains how Civo thinks strategically about AI adoption, guiding organisations through the full lifecycle from planning and infrastructure through to running and scaling workloads, powered by best-in-class NVIDIA GPUs.
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By Civo
AI is changing software development fast. But what does that actually mean for platform engineering teams? In this conversation, Civo's John Dietz and M R Rishi dig into what they're seeing on the ground, the 10x effect of AI on app count, what it means for platform team workloads, the debugging skills that are quietly being lost, and whether Kubernetes itself might eventually become just another abstraction.
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By Civo
Sandboxing your AI agent is only half the story. The other half is where your data goes when it hits your LLM provider's API. In this clip from our secure execution agents webinar, Ben Norris, founding engineer at relaxAI, explains why the sovereignty of your AI provider matters just as much as the security of your agent's environment and why relaxAI was built on a sovereignty-first principle, with inference running exclusively in the UK and no foreign data transfer.
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By Civo
Most platform engineering stories are told in hindsight, with the rough edges smoothed out. On June 17th, we are doing it differently. Join us for Platform Engineering Unplugged, a frank conversation with a practitioner who has navigated the real challenges of building and scaling platform engineering. What worked, what didn't, and what they would do differently. If you lead engineering teams and are thinking seriously about platform engineering, this is the session for you.
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By Civo
AI agents are powerful. They're also unpredictable, non-deterministic, and capable of doing things you didn't ask them to do, as the Rome Alibaba and Claude Mythos case studies make very clear. The answer isn't to avoid agentic AI. It's to run it properly. In this demo, Ben Norris, founding engineer at relaxAI, shows how to build a fully sandboxed AI agent environment from scratch, an ephemeral Civo VM provisioned via Terraform and GitHub Actions, locked down with egress policies, an unprivileged Linux user, and hard resource caps, running a Claude Code session pointed at the relaxAI API.
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By Civo
Thousands of configuration options. Optimisations everywhere. No clear way to track what's running where. Civo Platform Engineer M R Rishi breaks down why running AI on your own infrastructure is harder than it should be and how Konstruct changes that.
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By Civo
Civo Platform Engineer M R Rishi demonstrates how to go from zero to self-hosted AI in minutes using Konstruct. While most teams are stuck managing thousands of configuration values across multiple models and tools, Rishi shows how Konstruct eliminates that complexity with GPU cluster provisioning, GitOps catalog deployments, and production-ready infrastructure on day zero.
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By Civo
Digital sovereignty has moved from buzzword to boardroom priority. But most organisations are still asking the wrong question. Civo CEO Mark Boost cuts through the noise. Digital sovereignty isn't about marketing; it's about jurisdiction, accountability, and operational certainty. And it starts with where your data is hosted and how it's processed. Civo's UK Sovereign Cloud delivers public cloud, private cloud, and AI services, hosted and operated exclusively within the United Kingdom, under UK legal authority, with no exposure to foreign control.
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By Civo
The cloud shouldn't be two separate worlds. Civo delivers total cloud parity, the same features, APIs, and experience across public and private cloud. Powered by CivoStack, you can seamlessly move workloads anywhere, and with Konstruct, deploy alongside AWS, Azure, and Google. True multicloud freedom. No compromises. More control.
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By Civo
The hard part of deploying AI agents isn't the agent. It's the environment around it. As organisations move from AI experimentation into production, the question isn't just what agents can do; it's whether you can trust the environment they run in. Sandboxed execution gives you both the autonomy and the guardrails, keeping agents isolated, auditable, and under your control.
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