Book Image

Implementing Event-Driven Microservices Architecture in .NET 7

By : Joshua Garverick, Omar Dean McIver
4 (1)
Book Image

Implementing Event-Driven Microservices Architecture in .NET 7

4 (1)
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)
1
Part 1:Event-Driven Architecture and .NET 7
6
Part 2:Testing and Deploying Microservices
12
Part 3:Testing and Deploying Microservices

Examining producers and consumers

The producer-consumer pattern might be more familiar under a different moniker—Publish-Subscribe or pub-sub. While the terminology may differ, the intent behind the messaging pattern is the same. There are components that produce (or publish) events, and there are components that consume (or subscribe to) events. As mentioned in Chapter 1, The Sample Application, different mechanisms can support event-based messaging patterns. We have already established that we will be using Kafka as the primary mechanism for sourcing events, but if you've never used streaming technology before, it might be challenging to understand how streaming is relevant to communication patterns. Let's look at a couple of real-world examples, one of which happens to be the core use case for the sample application.

Relating to real-world examples

Developers understand the concept of communication patterns between components, as they enable those patterns...