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

The Producer-Consumer Pattern

When deciding on a communication pattern for an application, it is normal to look at the circumstances under which components might communicate with one another. Typical web applications follow a request/response pattern, where a request is made to the server, and a response is returned to the client and handled appropriately. For applications looking to handle high throughput in those communication channels, a standard request/response pattern is not ideal.

With hundreds or thousands of requests being sent per second, the application would be slowed to a halt as every request is met with a corresponding response. Another example is that of a long-running process. There might be an operation that gets kicked off by one event but doesn't complete until several hours later. Blocking the thread running that process would limit execution ability, and ultimately, the system only needs to know when the process completes. Scenarios such as this call...