Adrian Bridgwater

Author Archives: Adrian Bridgwater

Beyond the VPN: Cloudflare Mesh builds a private network for the age of AI agents

Cloud connectivity has long been a manual, fragmented headache for DevOps teams. On Tuesday, Cloudflare moved to bridge that gap with the launch of Cloudflare Mesh, a private networking service designed to unify multi-cloud environments into a single secure fabric for humans, agents, and code alike. Hoping to provide a new fusion point for cloud connectivity among humans, agents, and code, Cloudflare aims to do so. Cloudflare, which provides services for roughly 20% of the web, announced on Tuesday its eponymous Cloudflare Mesh, a private networking service that aims to align multi-cloud infrastructures into a single secure fabric. Private networking: a definition To understand Mesh, one must first define Cloudflare’s specific flavor of “private networking.” Unlike a traditional private cloud, this model connects internal resources, including servers, databases, and development tool environments, to the wider world of the web, without opening ports on a company’s firewall. “As autonomous agents become more common, businesses must rethink access models or risk insecure workarounds for the ‘new class of client’ that needs secure access to internal resources.” — Christian Reilly, Cloudflare. Essentially, Cloudflare Mesh helps software developers and operations teams to encrypt every connection point, without ever exposing internal infrastructure and data to Continue reading

Model Flop Utilization is the metric Aria Networks says will define the AI infrastructure era

As the global race to provide AI infrastructure services accelerates, Model Flop Utilization (MFU), the company’s newly hardened Aria SONiC (an open-source network operating system for distribution-optimized data centers), end-to-end ultra-fine-grained telemetry, and intelligent agents that operate across the network stack. What is Model Flop Utilization? Described by Aria Networks as the “defining metric” of the AI factory era, MPU measures datacenter hardware performance efficiency in relation to the theoretical peak throughput achievable. It can serve as a proxy for assessing whether an AI cluster is delivering on its investment.  MFU directly determines token efficiency and cost per token. As tokens become what Aria likes to call “the currency of intelligence”, the network’s infrastructure efficiency affects key-value caches are transferred (so that models don’t reprocess previous tokens), and how seamlessly jobs are scheduled across thousands of  GPUs, TPUs and NPUs etc. “Without the network performing at its best, the gains from every other optimization investment are left on the table.” — Mansour Karam, founder & CEO at Aria Networks The network inside the cluster

GSMA Open Gateway offers developers one API for 300+ mobile networks

Developers care about protocols, standards, and specifications — a little. But it’s not what keeps them up at night. Your average software engineer cares more about feature functionalities, performance, debugging, misconfigurations, and keeping infrastructure complexity under control. If a given component of a technology stack doesn’t align to those goals, it rarely makes it into the developer’s “backlog,” the strategic tracker that monitors application features, enhancements, and fixes. These home truths might have made leaders at the GSMA, an advocacy and lobbying organization for the mobile communications industry, anxious, because their