Operations | Monitoring | ITSM | DevOps | Cloud

Ask a team running an agent in production whether last week’s change made it better. Most can’t say. They swapped a model or rewrote a skill, eyeballed a few runs, and moved on. That works for a demo. It doesn’t work for an agent that touches production, where customers want two things that pull against each other: precision where a mistake is expensive, and low cost where the work is routine. A root cause someone acts on has to be right.

A vendor saying it plays in a market is one thing. A respected independent research firm saying so is another. That’s why I’m pleased to share that Kubex has been included in Forrester’s The Cloud Cost Management And Optimization Solutions Landscape, Q3 2026.

Table of Contents In Part 1: Agentic AI at Scale – Building the Kubex Agentic AI Platform of this series, we laid the foundation for scaling agentic AI across cloud infrastructure. We examined why traditional ops workflows get stuck in reactive loops of dashboard watching, why static context limits intelligence, and how the Kubex platform uses context engineering and a distributed nervous system to bridge the gap between telemetry and deterministic actions.

In short, in the five weeks to 27th October 2026, Okta, Satya Nadella, the Cloud Security Alliance and Salesforce each put the words “kill switch” or “emergency brake” next to AI agents, and the AI Kill Switch Act, introduced in the US House on 23rd July, would require the largest model providers to be able to throttle, suspend or shut their systems down on order. Every one of those switches stops something, and none of them stops the same thing.

October was a big month for Civo, with Starling and Behavox both choosing UK sovereign infrastructure for their AI and Civo Indonesia Region going live in Jakarta. Here is everything you might have missed.

Railway, Northflank and seven other developer platforms disclosed breaches in October 2026. Here is why a shared PaaS turns one breach into everyone's breach, how Qovery gives you git-push deploys while your apps and data run in your own AWS, GCP, Azure or Scaleway account, and what Qovery still holds. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Replay and key takes from our October 20 live with TPC: why Day Two is 80% of infrastructure work, why shared staging breaks when agents write the code, how agents cut migrations from months to hours, and how to keep agents under control with policy tokens and audit logs. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

A tricky Google Cloud support ticket that spanned GKE, Private Service Connect (PSC), Networking, Hostnet, Kernel, and the Linux kernel itself.

An agent that works on your laptop is borrowing three things it doesn’t own: your identity, your attention, and your judgment. It runs with your credentials and your access. It runs when you trigger it. And when it gets something wrong, you notice and tell it, which is the only evaluation it ever gets. Deploy the same skill to the cloud, unattended and pointed at production, and all three disappear at once.