Operations | Monitoring | ITSM | DevOps | Cloud

Cloud first was gospel for a decade. But the calculus has changed, and organisations are asking harder questions about where their workloads actually belong. In this clip, Civo Product Director Russ Smith breaks down the four forces that have converged to shift the default: spiralling bills that are no longer defensible at scale, the Broadcom acquisition that detonated VMware pricing overnight, sovereignty becoming a boardroom procurement requirement, and AI making new hardware brutally expensive.

Highly classified environment. Strict compliance requirements. Data that can't leave the network. But still a real need for the competitive advantage AI delivers. Civo Director of Enterprise Cloud Solutions John Dietz addresses exactly that challenge and how Konstruct makes it possible to run Kubernetes, deploy your own models, and point Claude Code at your own internal private servers instead of public APIs.

For years, "move everything to the cloud" was the default. But the economics have shifted. Join Russell Smith to explore why enterprises are reconsidering their cloud strategies, and how modern private cloud platforms are changing the game. We'll cover the real costs of public cloud lock-in, achieving feature parity without the price premium, and how to navigate today's hardware constraints, especially if you've got existing infrastructure assets that can still deliver value.

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.

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.

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.

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.

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.

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.

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.