As AI systems mature into multi‑agent ecosystems, the need for agents to communicate reliably and securely has become fundamental. Traditionally, agents built on different frameworks like Semantic Ke...

The transition from standalone Large Language Models (LLMs) to Agentic Orchestration marks the next frontier in AI development. We are moving away from simple "prompt-and-response" cycles toward...

Overcoming Cosmos DB Backup and Restore Challenges with Azure Databricks The Challenge of Backing Up and Restoring Azure Cosmos DB One of the significant pain points when working with Azure Cosmo...

  Why this article? To remove the vulnerability of exposing the data base connection string in Databricks notebook directly, by using Azure key vault. Database connection strings are extremely ...

We just concluded Python + MCP, a three-part livestream series where we: Built MCP servers in Python using FastMCP Deployed them into production on Azure (Container Apps and Functions) Added ...

What’s in Store? Day 1 – 10 December: Video Link Building AI Applications with Azure, GitHub, and Foundry Explore cutting-edge topics like: Agentic DevOps Azure SRE Agent Microsoft Foun...

Why Agentic AI Matters AI agents are no longer a distant vision—they’re here and transforming how businesses operate. According to industry analysts: Over 1 billion AI agents are expected to be...

Our Python + MCP series is a three-part, hands-on journey into one of the most important emerging technologies of 2025: MCP (Model Context Protocol) — an open standard for extending AI agents and cha...

We’re at a moment where generative AI is shifting from single-prompt interactions to agents that can process visuals, store memory, and act. And the best way to understand that shift is to build some...