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

Summary

In this chapter, we learned how observability, as provided by Dapr, brings order to the chaotic way a modern cloud-native application could look, if approached with classic tools.

By understanding how Zipkin can help us analyze how our Dapr applications behave in a complex environment such as Kubernetes, we now have the confidence we need to face the brave new world of cloud-native applications.

With Prometheus and Grafana, we learned how Dapr informs developers and operators on how an application is performing on Kubernetes, whether this is a cloud implementation, on-premises, or on the edge.

In the next chapter, we will leverage these abilities to observe how Dapr and our applications react to a heavy user load.