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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

Modern Design Patterns for Scalability

In years past, determining how to handle the scalability of your application depended primarily on capacity planning and static resources hosted in a data center. With the rise in popularity of the cloud, more flexible options exist for managing the scalability of your application. That’s not to say that capacity planning is not needed – it is still an important part of system architecture design.

How you implement scalability options tends to be different in the cloud, though. Where static resources once were the mainstay, you can now leverage automated scaling options, depending on how you are hosting your application. Cloud services such as managed Kubernetes, app services, and managed storage can be individually tuned to provide minimal resource usage when not under heavy load and maximized resource usage when it’s needed most.

This chapter will focus on the key metrics to monitor for potential performance issues...

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