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

Implementing autoscaling for Kubernetes services

Kubernetes itself is quite a powerful orchestration platform that allows you to control how few or how many system resources a given bit of executable code can have access to. Since the implementation of Kubernetes can be done on-premises, in the cloud on virtual machines, or through a managed service, there are several options for autoscaling configuration. These can range from patterns in Kubernetes itself to certain features of cloud-managed services to third-party plugins that are purpose-built for specific scenarios.

Native Kubernetes options

As an orchestrator, Kubernetes offers a rich ecosystem that allows you to use as little or as much of the cluster’s compute power as needed, in a variety of ways. Some features allow you to control how applications can scale out, depending on some of the primary indicators we covered in the previous section. In this section, we will start with a couple of native options that can...