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Microservices Design Patterns in .NET

Microservices Design Patterns in .NET - Second Edition

By : Trevoir Williams
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Microservices Design Patterns in .NET

Microservices Design Patterns in .NET

By: Trevoir Williams

Overview of this book

Are you a developer seeking practical, up-to-date insights into designing scalable and resilient microservices? Microservices Design Patterns in .NET, Second Edition provides a comprehensive exploration of modern microservices using C# 14 and .NET 10. This edition expands on core patterns such as CQRS, event sourcing, and Saga, while introducing advanced concepts such as observability with OpenTelemetry, zero-trust security, and container-based workflows. You’ll explore both synchronous and asynchronous communication, apply domain-driven design to define service boundaries, and manage data consistency using proven persistence strategies. The book also guides you through container hosting, serverless functions, and production-ready deployment pipelines. By the end of this book, you’ll know how to design and deploy secure, maintainable, and resilient microservices that fit perfectly in modern cloud ecosystems.
Table of Contents (24 chapters)
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1
Understanding Microservices and Design Patterns
9
Database and Storage Design Patterns
12
Resiliency, Security, and Infrastructure Patterns
17
Cloud Development Strategies
22
Index
23
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Summary

This chapter explores Domain-Driven Design (DDD), a software development methodology that aims to align software systems with complex business domains. DDD focuses on creating models that accurately reflect the domain by fostering collaboration between technical teams and domain experts. The chapter emphasizes the importance of understanding and structuring domain elements to build systems that are adaptable, maintainable, and aligned with business goals. This approach is particularly beneficial for applications like healthcare management systems, which involve intricate relationships, workflows, and rules.The chapter begins by introducing the foundational concepts of DDD, including entities, which are objects with unique identities and lifecycles. Entities, such as Patient in a healthcare system, represent distinct objects whose attributes may change over time while their identity remains constant. DDD also relies heavily on models, which serve as abstractions to solve domain...

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