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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

Deploying the solution to Microsoft Azure

When using a low load, the complete solution is not expensive when it’s running on Microsoft Azure. CPU power typically results in higher cost. How many containers are running with Azure Container Apps? bot-service, the game-apis service, live-service, ranking-service, and the Redis container. The game-apis service should scale with the minimum value set to 1, which provides a fast response for the first user so that they get a fast first answer. If you scale to 1 when the service is idle, there’s an idle price that reduces the cost of the CPU considerably. bot-service, live-service, and ranking-service can scale down to 0, which means there’s no cost in terms of CPU and memory. However, be aware of custom health checks (covered in Chapter 12), which can play against scaling to 0. With live-service, if there’s no listener to query for running games, you can’t subscribe to events. Thus, cost only applies if...

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