Azure Container Apps Dynamic Sessions: Secure Code Execution for AI Agents

AI agents that can write and execute code introduce significant security risks—from data exfiltration to resource abuse. Azure Container Apps Dynamic Sessions provides a solution: ephemeral, sandboxed execution environments that isolate agent-generated code from your production infrastructure. This comprehensive guide explores how to implement secure code execution for AI code interpreters, automated testing agents, and […]

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Production Model Deployment Patterns: From REST APIs to Kubernetes Orchestration in Python

After deploying hundreds of ML models to production across startups and enterprises, I’ve learned that model deployment is where most AI projects fail. Not because the models don’t work—but because teams underestimate the engineering complexity of serving predictions reliably at scale. This article shares production-tested deployment patterns from REST APIs to Kubernetes orchestration. 1. The […]

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Migration Guide: From Semantic Kernel & AutoGen to Microsoft Agent Framework – Part 10

Complete migration guide from Semantic Kernel and AutoGen to Microsoft Agent Framework. Before/after code examples and step-by-step instructions.

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MCP Integration & External Tool Connectivity in Microsoft Agent Framework – Part 9

Connect AI agents to external tools via Model Context Protocol. Learn MCP servers, Microsoft 365 integration, and building custom MCP servers.

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Production-Ready Agents: Observability, Security & Deployment – Part 8

Deploy AI agents to production with enterprise-grade observability, security, and resilience. Complete guide to OpenTelemetry, content safety, and Azure deployment.

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Multi-Agent Orchestration Patterns in Microsoft Agent Framework – Part 7

Master the five orchestration patterns: Sequential, Concurrent, Handoff, Group Chat, and Magentic. Learn when to use each pattern.

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