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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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Cloud-based development patterns

Microservices thrive in the cloud environment, benefiting from its elasticity, global accessibility, and managed services, which complement their decentralized architecture. In Chapters 14, 15, and 16, we explored various hosting strategies, including containerized applications with Kubernetes, Azure Functions, and Aspire orchestration.

Containers provide portability and consistency. Packaging our Appointment Service into a Docker image guarantees that the same artifact runs seamlessly across development, staging, and production environments without configuration drift. Kubernetes enhances this setup by orchestrating these containers: it scales services based on demand, performs rolling updates, and automatically recovers failed Pods.

Yet Kubernetes introduces its own complexity. That is why serverless is so compelling for specific workloads. In Anchor 4, Serverless Microservices Development, we saw how Azure Functions enabled us to build an...

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