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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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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 metrics data

Metrics data is used to monitor counts such as CPU and memory consumption or the length of an HTTP queue. This information can be used to analyze resources needed by services and can scale the services accordingly.

With metrics data, we get some counts. Such counts can be used for scaling services, based on memory or CPU consumption, or the length of an HTTP queue.

Let’s check the built-in metrics data before we add custom metrics.

Monitoring built-in .NET metrics

As mentioned, .NET offers much built-in metrics data that can be monitored using the dotnet counters .NET tool (install it via dotnet tool install dotnet-counters -g as a global tool), and many counts are already available from the .NET Aspire dashboard by opening the Metrics view. Figure 11.5 shows the .NET-managed heap size of the games API service at a time the bot played several games in parallel:

Figure 11.5 – Metrics

Figure 11.5 – Metrics

With many applications, you...

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