Architecture Patterns
This part combines Azure capabilities into reusable architecture shapes. Each chapter starts with the pattern responsibility and then connects it to Azure implementation choices, trade-offs, operations, and a scenario.
What You Will Learn
Trace request, event, data, and control paths through a design.
Place ownership, security, failure handling, and observability explicitly.
Compare Azure implementation options without treating a reference diagram as universal.
Explain why a pattern fits a workload and where its trade-offs appear.
Chapters
Web Application Architecture — design edge, runtime, data, security, scaling, and deployment paths.
API Platform Architecture — govern API entry, consumers, contracts, backends, and operations.
Microservices Architecture — align service and data boundaries with team ownership.
Event-Driven Architecture — coordinate producers and consumers through explicit event contracts.
Data and Analytics Architecture — organize ingestion, storage, processing, governance, and serving.
Hybrid Cloud Architecture — connect identity, networks, data, migration, and operations across environments.
AI and Agentic Architecture — design grounding, tools, authorization, safety, evaluation, monitoring, and cost.
How the Chapters Connect
The chapters move from common customer and API paths into distributed communication, data, hybrid, and AI systems. Each new pattern adds boundaries and operating concerns while reusing the same decision method.