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  • Book Overview & Buying Implementing Event-Driven Microservices Architecture in .NET 7
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Implementing Event-Driven Microservices Architecture in .NET 7

Implementing Event-Driven Microservices Architecture in .NET 7

By : Joshua Garverick, Omar Dean McIver
4.5 (15)
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Implementing Event-Driven Microservices Architecture in .NET 7

Implementing Event-Driven Microservices Architecture in .NET 7

4.5 (15)
By: Joshua Garverick, Omar Dean McIver

Overview of this book

This book will guide you through various hands-on practical examples for implementing event-driven microservices architecture using C# 11 and .NET 7. It has been divided into three distinct sections, each focusing on different aspects of this implementation. The first section will cover the new features of .NET 7 that will make developing applications using EDA patterns easier, the sample application that will be used throughout the book, and how the core tenets of domain-driven design (DDD) are implemented in .NET 7. The second section will review the various components of a local environment setup, the containerization of code, testing, deployment, and the observability of microservices using an EDA approach. The third section will guide you through the need for scalability and service resilience within the application, along with implementation details related to elastic and autoscale components. You’ll also cover how proper telemetry helps to automatically drive scaling events. In addition, the topic of observability is revisited using examples of service discovery and microservice inventories. By the end of this book, you’ll be able to identify and catalog domains, events, and bounded contexts to be used for the design and development of a resilient microservices architecture.
Table of Contents (21 chapters)
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1
Part 1:Event-Driven Architecture and .NET 7
6
Part 2:Testing and Deploying Microservices
12
Part 3:Testing and Deploying Microservices

Service and Application Resiliency

In Chapter 10, Modern Design Patterns for Scalability, we reviewed some patterns for addressing scalability within our application. An equally important concept is that of resiliency, meaning the likelihood of a service or application handling errors or exceptions at runtime. Accounting for changes in traffic and usage for components does not mean much if the components themselves do not function properly, or do not provide any clear means of tracking down the root causes of issues.

There is always the possibility that a cloud service could experience a brief outage or an extended period of downtime that is completely out of the hands of those who maintain the application or platform.

In this chapter, we’ll cover the following:

  • Resiliency through cloud-native patterns
  • Redundancy and enabling business continuity
  • Graceful communication

By the end of this chapter, you will be able to review and implement cloud-native...

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