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Building Microservices with .NET Core

Building Microservices with .NET Core

By : Soumya Mukherjee, Gaurav Aroraa, Lalit Kale, Manish Kanwar
3.3 (4)
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Building Microservices with .NET Core

Building Microservices with .NET Core

3.3 (4)
By: Soumya Mukherjee, Gaurav Aroraa, Lalit Kale, Manish Kanwar

Overview of this book

Microservices is an architectural style that promotes the development of complex applications as a suite of small services based on business capabilities. This book will help you identify the appropriate service boundaries within the business. We'll start by looking at what microservices are, and what the main characteristics are. Moving forward, you will be introduced to real-life application scenarios, and after assessing the current issues, we will begin the journey of transforming this application by splitting it into a suite of microservices. You will identify the service boundaries, split the application into multiple microservices, and define the service contracts. You will find out how to configure, deploy, and monitor microservices, and configure scaling to allow the application to quickly adapt to increased demand in the future. With an introduction to the reactive microservices, you strategically gain further value to keep your code base simple, focusing on what is more important rather than the messy asynchronous calls.
Table of Contents (11 chapters)
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Other microservice monitoring solutions

Now let's look at some of the popular monitoring solutions that can be used to build a custom microservice monitoring solution. It is inherent that these solutions do not come out of the box; however, they are definitely time tested by the open source community and can be easily integrated within .NET-based environments.

A brief overview of the ELK stack

As we saw, one of the fundamental tools for monitoring is logging. For microservices, there will be a volume of logs generated that are astounding and sometimes not even comprehended by humans. The ELK stack (also referred to as the elastic stack) is the most popular log management platform. It is also a good candidate for microservice monitoring because of its ability...

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