The Cloud Bill Always Comes Due: Hard Lessons in FinOps from a Decade of Enterprise Cloud Migrations

The first time I saw a cloud bill exceed a million dollars in a single month, I knew something had fundamentally changed about how we needed to think about infrastructure. This wasn’t a massive enterprise with unlimited budgets—it was a mid-sized company that had enthusiastically embraced “cloud-first” without understanding what that commitment actually meant financially. […]

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Microsoft Azure AI Foundry: The Complete Guide to Enterprise AI Development

Introduction: Microsoft Azure AI Foundry (formerly Azure AI Studio) represents Microsoft’s unified platform for building, evaluating, and deploying generative AI applications. Announced at Microsoft Ignite 2024, AI Foundry consolidates Azure’s AI capabilities into a single, cohesive experience that spans model selection, prompt engineering, evaluation, fine-tuning, and production deployment. With access to Azure OpenAI models, Meta […]

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MLOps Excellence with MLflow: From Experiment Tracking to Production Model Deployment

MLflow has emerged as the leading open-source platform for managing the complete machine learning lifecycle, from experimentation through deployment. This comprehensive guide explores production MLOps patterns using MLflow, covering experiment tracking, model registry, automated deployment pipelines, and monitoring strategies. After implementing MLflow across multiple enterprise ML platforms, I’ve found that success depends on establishing consistent […]

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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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