A weekly roundup of the cloud news that actually matters. Every Saturday: the announcements, retirements and shifts across AWS, Azure and GCP, with analysis of what they mean for platform teams.
This week’s cloud news splits into two threads: what AI models actually cost to run at scale, and the unglamorous networking and security plumbing that keeps everything else standing. Anthropic, AWS and Microsoft each shipped something that reframes model economics…
Every story this week is about redrawing the lines of trust. AWS wants to audit Microsoft’s cloud, Google wants to attest your AI stack in hardware, and the most important open source project on earth has settled its argument about…
The industry spent this week doing two things at once: shipping production-grade agent infrastructure and quietly retiring the services that came before it. Microsoft and Google both pushed serious agent tooling to general availability, AWS moved a swath of its…
Five stories this week, and remarkably few of them are about doing more. AWS gave Kubernetes clusters an undo button, Microsoft detailed the AI system that already decides whether you are having an outage, and Google Cloud picked up a…
The infrastructure for AI agents is hardening fast, and this week the announcements to prove it came from every direction. AWS shipped a fundamentally new compute primitive aimed squarely at the untrusted-code problem, Azure moved its observability agent to general…
AWS arrived in New York this week with a dense set of announcements, while Azure quietly published something platform engineers planning a storage migration will actually want to read. Cutting across both is a broader theme: the parts of the…
The same frontier model landed on two clouds on the same day this week, and the conditions of access are more interesting than the benchmarks. Add silicon designed for agent workloads and Google engineers on keeping AI-generated code honest, and…
