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

Tracing Dapr Applications

In this chapter, you will learn about observability options in Dapr by exploring how traces, logs, and metrics are emitted and can be collected in Dapr using Zipkin, Prometheus, and Grafana. These are the main topics of the chapter:

  • Observing applications in Dapr
  • Tracing with Zipkin
  • Analyzing metrics with Prometheus and Grafana

With Dapr in self-hosted mode, which we used during the development of our Dapr applications, we had an option to directly access the logs from the Dapr sidecar processes and applications as console output, in addition to the ability to debug our service code with Visual Studio Code (VS Code).

In the Kubernetes mode of Dapr, however, the approach is going to be different because of the complexity of a multi-node cluster and the constraints imposed on a production environment.