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Pragmatic Microservices with C# and Azure

Pragmatic Microservices with C# and Azure

By : Nagel
4.5 (10)
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Pragmatic Microservices with C# and Azure

Pragmatic Microservices with C# and Azure

4.5 (10)
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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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

Using Apache Kafka for event processing

Apache Kafka can be an alternative to using Azure Queue Storage and Azure Event Hubs – especially when it comes to on-premises solutions. This technology is used by many companies in their on-premises environments for high performance application-to-application messaging, supports a scalable multiple producers and consumers environment (like Event Hub), and supports a read-only-once scenario like message queues.

Starting the AppHost with the OnPremises launch profile will now use the previously created Codebreaker.Bot. This uses a REST API instead of message queues, replaces the event publishing mechanism of the game-apis service, and makes the event subscription from ranking-service use Apache Kafka.

First, we’ll change app-model.

Configuring Apache Kafka with app-model

To use the Apache Kafka resource with app-model, we must add the Aspire.Hosting.Kafka NuGet package:

Codebreaker.AppHost/Program.cs

var kafka...
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