Full Description
Advanced Blazor Architecture with .NET 10 and Azure OpenAI: Enterprise-Grade Design Patterns, AI Integration, and Cloud-Ready Solutions will guide developers, architects, and technology leaders through building scalable, intelligent, and cloud-ready applications with Blazor. The book explores the latest .NET 10 enhancements such as Minimal APIs, AOT compilation, and WebAssembly performance, while showcasing enterprise-grade architecture patterns like Clean Code Architecture, Domain-Driven Design, and micro-frontends. A unique focus will be given to integrating Azure OpenAI - embedding intelligent assistants, content generation, and sentiment analysis securely within Blazor apps. The book also demonstrates cloud-ready deployment with Azure App Services, Kubernetes, and CI/CD pipelines, alongside performance and security strategies such as zero-trust security and AI compliance. This combination of deep technical coverage and practical patterns makes the book both timely and essential for enterprise professionals preparing for the future of cloud and AI-driven development.
What You Will Learn
.NET 10 Enhancements: Minimal APIs, AOT compilation, WebAssembly performance improvements.
Enterprise Architecture Patterns: Clean Architecture, Domain-Driven Design, micro-frontends, and modular UI components.
AI Integration with Azure OpenAI: Embedding intelligent assistants, content generation, sentiment analysis, and secure prompt handling into Blazor apps.
Cloud-Ready Deployment: Azure App Services, Kubernetes, containerized workflows, and CI/CD pipelines.
Performance & Security: Optimizing state management, implementing zero-trust security, and ensuring AI-driven features meet compliance standards.
Contents
Chapter 1: Introduction to Modern Blazor. -Chapter 2: .NET 10 Enhancements for Blazor.- Chapter 3: Enterprise-Grade Blazor Architecture.- Chapter 4: Micro-Frontends and Modular UI.- Chapter 5: Event-Driven and Reactive Patterns.- Chapter 6: Introducing Azure OpenAI in Blazor.- Chapter 7: Practical AI Features in Blazor.- Chapter 8: Secure AI Prompt Handling.- Chapter 9: Deploying Blazor at Scale.- Chapter 10: CI/CD for Blazor and AI Apps.- Chapter 11: Cloud-Native Observability and Resilience.- Chapter 12: Optimizing Performance in Blazor Apps.- Chapter 13: Zero-Trust and Enterprise Security.- Chapter 14: End-to-End Case Study: AI-Enhanced Enterprise App.- Chapter 15: Future of Blazor and AI in Enterprise Solutions.
