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Pragmatic Microservices with C# and Azure

Pragmatic Microservices with C# and Azure

By : Nagel
4.2 (11)
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Pragmatic Microservices with C# and Azure

Pragmatic Microservices with C# and Azure

4.2 (11)
By: Nagel

Overview of this book

Pragmatic Microservices with C# and Azure introduces .NET Aspire for microservices, focusing on defining an app model, utilizing service discovery, and integrating with Azure's native cloud services. Written by a Microsoft MVP and seasoned software architect with over two decades of experience in .NET, this book will help you get to grips with robust service development using .NET features like minimal APIs, gRPC, and SignalR for real-time communication. Aside from covering essential aspects of DevOps, including testing methodologies such as unit, integration, and load testing, you’ll also explore logging and monitoring including OpenTelemetry using tools like Azure Log Analytics, Application Insights, Prometheus, and Grafana. You'll learn about asynchronous communication leveraging queues and events through Azure Event Hub and Apache. Throughout the book, theoretical aspects will be complemented by practical skills gained from building and deploying a fully functional microservices-based application. By the end, you’ll possess a deep understanding of microservices architecture, hands-on experience with various .NET technologies and Azure services, and the ability to design, build, deploy, and manage microservices applications effectively in both on-premises and cloud environments.
Table of Contents (23 chapters)
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Free Chapter
1
Part 1: Creating Microservices with .NET
6
Part 2: Hosting and Deploying
12
Part 3: Troubleshooting and Scaling
16
Part 4: More communication options

Summary

In this chapter, you learned how to offer real-time data using SignalR. You created a live service containing a SignalR hub that offers real-time information about completed games. Clients can register to a subset – a group – of the information offered. You also created a simple console application that acts as a client. The same functionality can be implemented in other clients. You can check this out in the Blazor client application provided in this book’s GitHub repository, which contains the SignalR client functionality.

Then, you learned how to use Azure SignalR Service, which reduces the load on the service hosting the SignalR hub as the clients directly interact with Azure SignalR Service while this service acts as one client to SignalR.

With the implementation of this chapter, we created a REST API that’s invoked by the game-apis service to send completed games. REST is great for easy communication with all clients, but it doesn’...

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