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Practical Microservices with Dapr and .NET

Practical Microservices with Dapr and .NET

By : Davide Bedin
4 (8)
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Practical Microservices with Dapr and .NET

Practical Microservices with Dapr and .NET

4 (8)
By: Davide Bedin

Overview of this book

Over the last decade, there has been a huge shift from heavily coded monolithic applications to finer, self-contained microservices. Dapr is a new, open source project by Microsoft that provides proven techniques and best practices for developing modern applications. It offers platform-agnostic features for running your applications on public cloud, on-premises, and even on edge devices. This book 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 offers ease of implementation while allowing you to work with multiple languages and platforms. You'll also understand how Dapr's runtime, services, 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 to build 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. By the end of this book, you'll be able to write microservices easily using your choice of language or framework by implementing industry best practices to solve problems related to distributed systems.
Table of Contents (16 chapters)
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1
Section 1: Introduction to Dapr
4
Section 2: Building Microservices with Dapr
10
Section 3: Deploying and Scaling Dapr Solutions

Summary

In this chapter, we learned how to scale the Kubernetes resources of our Dapr applications with the deployment configuration, as well as how to automatically adapt the number of replicas to CPU and memory usage with the HPA

The concepts we explored in this chapter gave us a more solid approach to testing Dapr applications under specific conditions: is our overall solution, starting with the nodes of the Kubernetes cluster, including the database (state store) and message bus (publish/subscribe), capable of sustaining a specific load?

Even if we had to venture outside the land of C# and .NET Core to leverage Locust, I think the advantages of learning a popular, developer-oriented load testing framework justifies the effort. Python is also supported in Dapr with an SDK for services and actors, so maybe this could be the next stage of our learning experience with Dapr?

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