Start with the framework, accelerate with the tool Watch the video walkthrough The Application Resilience Framework originated from a practical gap we saw in resilience reviews: teams had archite...

Research and development has traditionally been a slow, sequential, and largely manual endeavour. Scientists formulate hypotheses, design experiments, run computations in constrained environments, an...

Diffusion workloads are simple at prototype scale and unforgiving in production. A single demo can run on one GPU-backed VM, but a real platform has to handle bursty demand, long-running jobs, model ...

Introduction In today’s digital-first environments, a large portion of enterprise knowledge lives inside video content, training sessions, onboarding walkthroughs, and recorded operational procedur...

By: Ricardo Bianchini, Steve Solomon, Brijesh Warrier, Martin Herbert, Jay Jochim, Husam Alissa, Pulkit Misra, Eric Peterson and Cam Turner Context -  Microsoft is pioneering zonal cooling in its...

In large-scale manufacturing and infrastructure environments, maintaining structural integrity is a continuous operational challenge. Industrial facilities—from automotive plants to energy and infras...

Everyone draws the same picture: Bronze → Silver → Gold. Three boxes, three arrows. Done. What that picture hides is the dozen design decisions you have to make inside each box — and the ones you m...

Problem Statement Azure OpenAI is publicly accessible by default Azure OpenAI frequently asked questions | Microsoft Learn Any application with API access can call it from anywhere Violates: ...

The Problem In an enterprise AI scenario, the goal was to map structured feature data to relevant sections within large technical documents. At a glance, this appears to be a straightforward sema...

Problem Statement When building AI agents or automation solutions, calling enterprise APIs directly often means configuring individual HTTP actions within each agent for every API. While this works...