APAF Technical Series · Book 03

Azure For
.NET Developers

Production-Grade Cloud Architecture

From platform architecture to AI integration — a production reference for .NET engineers building on Azure. Twelve chapters of hands-on content covering every major Azure service domain.

12
Chapters
30
Diagrams
24
Labs
~8h
Read Time

Azure AI Services &
OpenAI Integration

Azure OpenAI SDK, Semantic Kernel framework, RAG with Azure AI Search, prompt engineering patterns, responsible AI deployment — all from a .NET developer perspective with production-ready patterns.

Azure OpenAI SDK Semantic Kernel RAG Pipeline Azure AI Search Responsible AI
Read Chapter 08

What you'll master.

Cloud-Native .NET

Deploy .NET apps across App Service, Functions, AKS, and Container Apps with production-grade configuration, secrets, and health probes.

Production Databases

Master EF Core with Azure SQL, Cosmos DB multi-model patterns, partitioning strategies, and caching with Azure Redis Cache.

AI Integration

Build Azure OpenAI and Semantic Kernel-powered .NET apps. Implement RAG pipelines, prompt engineering, and responsible AI deployment.

Zero-Trust Security

Implement Managed Identity, MSAL, Azure AD B2C, Key Vault references, and RBAC — without secrets in configuration files.

Containers at Scale

Deploy .NET workloads on AKS and Azure Container Apps with KEDA autoscaling, multi-region deployments, and cost-optimised node pools.

Full CI/CD Pipeline

Ship .NET to Azure with GitHub Actions and Azure DevOps — multi-environment pipelines, slot swaps, blue-green deployments, and rollback strategies.

Get Started

Ready to build production Azure apps with .NET?

Start with Chapter 1 and work through at your own pace — or jump directly to the AI chapter.