Disaster Recovery for AI Systems: Multi-Region Deployment Strategies

Disaster Recovery for AI Systems: Multi-Region Deployment Strategies Expert Guide to Building Resilient AI Systems Across Multiple Regions I’ve designed disaster recovery strategies for AI systems that handle millions of requests per day. When a region goes down, your AI application shouldn’t. Multi-region deployment isn’t just about redundancy—it’s about maintaining service availability, data consistency, and […]

Read more →

Building Your First AI Agent with Microsoft Agent Framework (.NET) – Part 2

Build a production-ready Customer Support AI agent using C# and .NET 8. Complete tutorial covering project setup, tools, multi-turn conversations, middleware, and error handling.

Read more →

Alternative Cloud AI Platforms: IBM watsonx, Oracle OCI, Databricks & Snowflake Deep Dive

Beyond AWS, Azure, and GCP—explore IBM watsonx, Oracle OCI, Databricks, and Snowflake AI platforms. Complete guide with architectures, code examples, and when to choose each platform.

Read more →

Evaluating Agent Performance: Metrics and Testing Strategies

Evaluating agent performance is harder than evaluating models. After developing evaluation frameworks for 10+ agent systems, I’ve learned what metrics matter and how to test effectively. Here’s the complete guide to evaluating agent performance. Figure 1: Agent Evaluation Metrics Framework Why Agent Evaluation is Different Agent evaluation is more complex than model evaluation: Multi-step reasoning: […]

Read more →

Frontend State Management for AI Applications: Redux, Zustand, and Jotai Patterns

Frontend State Management for AI Applications: Redux, Zustand, and Jotai Patterns Expert Guide to Choosing and Implementing State Management for AI-Powered Frontends I’ve built AI applications with Redux, Zustand, Jotai, Context API, and even plain React state. Each has its place, but for AI applications—with their streaming updates, complex conversation state, and real-time interactions—the choice […]

Read more →

Introduction to Microsoft Agent Framework: The Open-Source Engine for Agentic AI Apps (Part 1)

Learn about Microsoft Agent Framework (MAF), the unified open-source SDK for building production-ready AI agents. This comprehensive guide covers the architecture, key features, and how MAF combines the best of Semantic Kernel and AutoGen for enterprise agentic AI development.

Read more →