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

Summary

In this chapter, we examined some key indicators of application performance, how easily resources can be adjusted to accommodate demands on the application, and how to set up automatic scaling for certain pieces of infrastructure. General scalability patterns commonly focus on being able to adjust the CPU or memory available to the application as a means to mitigate an increase in demand.

There are even ways of implementing new language features to help increase processing efficiency, as seen with the new FileStream object improvements in .NET 6. Through varying levels of complexity, we’ve looked at how to configure autoscaling for Kubernetes objects using metrics, thresholds, and even events. We’ve also looked at how to configure metrics, thresholds, and action groups to resolve issues with App Services. These patterns will become a vital part of your toolbox as you continue to architect event-based systems.

As we look forward to Chapter 11, Minimizing...