| Reference Architectures | L37-L90 | End-to-end Azure solution blueprints: mission-critical, secure, and compliant architectures for data platforms, AKS, SAP, App Service, hybrid networking, and enterprise integration. |
| Solution Ideas | L91-L128 | End-to-end solution patterns for AI, data, analytics, security, DevOps, and migration on Azure—how to design, integrate, and operate complex workloads using multiple Azure services. |
| Design Patterns | L129-L177 | Patterns for resilient, scalable cloud apps: messaging, transactions, routing, caching, security, identity, data partitioning, and migration using Azure services. |
| Technology Choices | L178-L212 | Guidance on choosing the right Azure/Fabric services and architectures for AI/ML, data, analytics, storage, compute, networking, containers, and messaging based on workload needs. |
| Architecture Styles | L213-L224 | Guidance on choosing and designing Azure app architectures (big compute, big data, event-driven, microservices, N-tier, web-queue-worker) with patterns, components, and best practices. |
| Best Practices | L225-L281 | Best-practice patterns for Azure architectures: secure APIs/RAG/ML, AKS ops and CI/CD, networking/DNS/DR, caching/CDN/IoT, SAP, VM patching, monitoring, scaling, and reliability. |
| Anti-patterns | L282-L296 | Diagnosing and fixing common Azure performance and scalability anti-patterns (busy DB/front end, chatty I/O, no caching, noisy neighbors, retry storms, sync I/O, monolithic persistence). |
| Example Workloads | L297-L396 | End-to-end Azure solution blueprints: real workloads for data/AI, APIs, AKS, hybrid, security, mainframe/ERP, IoT/OPC UA, VDI, backup, and BI/Fabric architectures and operations. |
| Migration Guides | L397-L426 | Guides for migrating from AWS, GCP, on-prem Oracle, and Kafka to Azure, mapping services (compute, data, identity, networking, Kubernetes) and comparing architectures, costs, and security. |