Azure Daily News for Wednesday, Oct 22 2025

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General News

  • Selecting the Right Agentic Solution on Azure - Part 1
    Recently, we have seen a surge in requests from customers and Microsoft partners seeking guidance on building and deploying agentic solutions at various scales. With the rise of Generative AI, replacing traditional APIs with agents has become increasingly popular. There are several approaches to building, deploying, running, and orchestrating agents on Azure. In this discussion, I will focus...
    Source: Azure Architecture Blog
  • Selecting the Right Agentic Solution on Azure – Part 2 (Security)
    Let’s pick up from where we left off in the previous post — Selecting the Right Agentic Solution on Azure - Part 1. Earlier, we explored a decision tree to help identify the most suitable Azure service for building your agentic solution.   Following that discussion, we received several requests to dive deeper into the security considerations for each of these services. In this post, we’ll...
    Source: Azure Architecture Blog
  • Orchestrating Multi-Agent Intelligence: MCP-Driven Patterns in Agent Framework
    Building reliable AI systems requires modular, stateful coordination and deterministic workflows that enable agents to collaborate seamlessly. The Microsoft Agent Framework provides these foundations, with memory, tracing, and orchestration built in. This implementation demonstrates four multi-agentic patterns — Single Agent, Handoff, Reflection, and Magentic Orchestration — showcasing...
    Source: Azure Developer Community Blog
  • Running a Load Test within a Chaos Experiment
    With Azure Chaos Studio and Azure Load Testing, you can simulate both — run a controlled load test while injecting faults into your application or infrastructure to understand how it behaves under stress. Together, they help you find those resiliency blind spots — the cascading failures, retry storms, and degraded dependencies that only appear when your system is both busy and broken. For...
    Source: Apps on Azure Blog
  • Serverless MCP Agent with LangChain.js v1 — Burgers, Tools, and Traces 🍔
    AI agents that can actually do stuff (not just chat) are the fun part nowadays, but wiring them cleanly into real APIs, keeping things observable, and shipping them to the cloud can get... messy. So we built a fresh end‑to‑end sample to show how to do it right with the brand new LangChain.js v1 and Model Context Protocol (MCP). In case you missed it, MCP is a recent open standard that makes...
    Source: Azure Developer Community Blog

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Azure Daily News for Wednesday, Oct 22 2025