Operations | Monitoring | ITSM | DevOps | Cloud

In early March, we launched the CloudZero AI Hub and the CloudZero Claude Code plugin, giving customers a direct line to their cloud and AI cost data through natural language. Early adopters and power users have already jumped in, using the plugin to investigate cost spikes, close commitment gaps, and get to cost-per unit metrics that used to take days to pull together. What we’ve noticed over the past few weeks is pretty consistent (and predictable).

CloudZero’s Umesh Rao and Larry Advey showed what it actually looks like to connect AI to real cloud cost data, and the results are hard to unsee. On April 9, 2026, CloudZero hosted a live webinar, Cost Intelligence for the AI Era, featuring Umesh Rao, Director of Enablement, and Larry “Fred FinOps” Advey, Director of Cloud Platform & FinOps.

Most engineering career advice treats the leadership track as a ladder where each step is a slightly bigger version of the one before it. That metaphor is the reason so many career transitions go sideways. IC, manager, director, and VP are four different jobs. Each has its own failure modes, its own definition of what counts as your work, and its own relationship to the code. The skills that earn a promotion to one level are rarely the skills that make someone effective at the next.

Last week, the cybersecurity industry received a signal it cannot afford to ignore. Anthropic announced Claude Mythos Preview: a general-purpose frontier AI model that, without any explicit training for the task, autonomously discovered and fully exploited zero-day vulnerabilities across every major operating system and web browser. Not theoretical capabilities.

Welcome to April’s Cloud Economics Pulse, CloudZero’s monthly look at cloud spend as AI moves from cost problem to strategic commitment. March’s Pulse called 4.01% a record. It lasted all of 31 days. Why? February’s billing data came in at 4.84% aggregate AI/ML share. That’s another high, another acceleration. You’ve heard it before and it’s getting a bit boring now, but the story isn’t in the numbers; it’s now in the behavior.

A sovereign cloud is a cloud environment that keeps data, infrastructure, and access under the control of a specific country or region. It lets organizations meet strict data residency and privacy laws without giving up cloud speed, automation, or modern DevOps practices. As regulations tighten and AI adoption grows, sovereign cloud is becoming the go‑to model for governments, regulated industries, and global enterprises that need both compliance and agility.

Shopping for a service desk automation platform feels like it should be straightforward. It isn't, and the reason is that the language vendors use masks how differently these platforms actually behave once they're live. Every platform claims that they automate more, resolve faster, and reduce ticket volume. That’s a given.

Agentic Kubernetes resource reclamation is the practice of using an autonomous control plane to continuously identify, suspend, and delete idle infrastructure across a multi-cloud Kubernetes fleet. It replaces manual cleanup and reactive autoscaling with intent-based policies that act on business state, eliminating the configuration drift and cloud waste typical of unmanaged fleets.

In this latest ecosystem update, we’re introducing further enhancements to the Console Connect platform, with new data centre deployments and expanded availability of cloud on-ramps across key global locations.