Microsoft has made its Azure Model Context Protocol (MCP) production-ready, with Azure MCP Server 2.0 and SQL MCP Server now stable. This infrastructure enables AI agents to connect seamlessly with enterprise systems, establishing MCP as the standard for enterprise integration.
This content compares the Microsoft Azure AI Fundamentals (AI-900) and Azure AI Engineer Associate (AI-102) certifications, crucial for cloud professionals in the AI-first economy. It recommends a strategic approach: starting with AI-900 for conceptual clarity and then moving to AI-102 for hands-on expertise.
The author built ServiceHub, an open-source forensic debugger for Azure Service Bus dead-letter queues, cutting investigation time from 6 hours to 45 minutes. This tool features full message body inspection, auto-replay rules, and client-side AI pattern detection to cluster error messages with confidence scores.
Azure VM performance is not solely determined by CPU size, but requires full-stack engineering. This involves choosing the right VM family, disk tier, IOPS, throughput, caching, accelerated networking, and availability design.
Court documents from the ongoing Musk v. Altman trial reveal early communications between Microsoft and OpenAI. Microsoft executives feared OpenAI might defect to Amazon and "shit-talk" Azure, despite initial partnership discussions and investment.
The author rebuilt their TravelAI.Core library to work with multiple AI providers, including OpenAI, Anthropic, Ollama, and Azure, instead of solely relying on Azure OpenAI. This change simplifies the setup process for developers wanting to try the library without an initial commitment to a cloud provider.
This guide details the architecture and common pitfalls of running Slurm on cloud platforms like AWS and Azure. It explores reasons for cloud HPC, such as on-demand scalability and GPU access, and describes a standard setup of control and compute nodes.