Designing modern enterprise solutions requires more than building applications quickly. Organizations need platforms that can integrate business processes, automate operations, govern data, and scale securely across complex environments.
This book explores the engineering principles behind building enterprise-grade solutions using Microsoft's low-code application ecosystem. It moves beyond basic app creation and focuses on architecture decisions, platform capabilities, integration patterns, security models, operational constraints, and long-term scalability.
Readers will learn how to design solutions that combine application experiences, workflow orchestration, enterprise data management, analytics, and AI-driven capabilities within a governed cloud architecture. The book examines how to structure environments, manage application lifecycles, integrate with enterprise systems, and apply engineering practices to low-code platforms.
Topics covered include:
Platform architecture and internal operating models
Enterprise application design patterns
Data architecture with Dataverse and connected systems
Workflow orchestration strategies and automation boundaries
Integration architecture using APIs, connectors, and cloud services
Security, identity, governance, and compliance considerations
Application lifecycle management and deployment practices
Performance optimization and scalability challenges
AI-enabled business process automation patterns
Common architectural failures and technical debt prevention
Rather than presenting low-code development as a shortcut, this book approaches it as an engineering discipline requiring architectural thinking, governance, and strategic decision-making.