Book Image

Practical Microservices with Dapr and .NET - Second Edition

By : Davide Bedin
Book Image

Practical Microservices with Dapr and .NET - Second Edition

By: Davide Bedin

Overview of this book

This second edition will help you get to grips with microservice architectures and how to manage application complexities with Dapr in no time. You'll understand how Dapr simplifies development while allowing you to work with multiple languages and platforms. Following a C# sample, you'll understand how Dapr's runtime, building blocks, and software development kits (SDKs) help you to simplify the creation of resilient and portable microservices. Dapr provides an event-driven runtime that supports the essential features you need for building microservices, including service invocation, state management, and publish/subscribe messaging. You'll explore all of those in addition to various other advanced features with this practical guide to learning Dapr. With a focus on deploying the Dapr sample application to an Azure Kubernetes Service cluster and to the Azure Container Apps serverless platform, you’ll see how to expose the Dapr application with NGINX, YARP, and Azure API Management. By the end of this book, you'll be able to write microservices easily by implementing industry best practices to solve problems related to distributed systems.
Table of Contents (20 chapters)
1
Part 1: Introduction to Dapr
5
Part 2: Building Microservices with Dapr
11
Part 3: Deploying and Scaling Dapr Solutions

Load Testing and Scaling Dapr

In this chapter, we will learn how to scale Dapr applications in a Kubernetes environment. After that, we will learn how to load-test a Dapr solution by simulating user behavior with the Locust testing tool.

In this chapter, we will cover the following topics:

  • Scaling Dapr in Kubernetes
  • Load testing with Locust
  • Load testing Dapr
  • Autoscaling with KEDA

Load testing is an important practice in software development. It offers developers and operators a scientific approach, guided by practices and tools, to finding the best possible answer to various questions, such as how this application will react to an increase in requests. At which point will the application’s response start degrading in terms of success rate and response time? Will the infrastructure be able to sustain a specific rate of requests with a certain level of performance with the allocated resources?

These questions explore both the technical and economic...