Book Image

C# 8 and .NET Core 3 Projects Using Azure - Second Edition

By : Paul Michaels, Dirk Strauss, Jas Rademeyer
Book Image

C# 8 and .NET Core 3 Projects Using Azure - Second Edition

By: Paul Michaels, Dirk Strauss, Jas Rademeyer

Overview of this book

.NET Core is a general-purpose, modular, cross-platform, and opensource implementation of .NET. The latest release of .NET Core 3 comes with improved performance and security features, along with support for desktop applications. .NET Core 3 is not only useful for new developers looking to start learning the framework, but also for legacy developers interested in migrating their apps. Updated with the latest features and enhancements, this updated second edition is a step-by-step, project-based guide. The book starts with a brief introduction to the key features of C# 8 and .NET Core 3. You'll learn to work with relational data using Entity Framework Core 3, before understanding how to use ASP.NET Core. As you progress, you’ll discover how you can use .NET Core to create cross-platform applications. Later, the book will show you how to upgrade your old WinForms apps to .NET Core 3. The concluding chapters will then help you use SignalR effectively to add real-time functionality to your applications, before demonstrating how to implement MongoDB in your apps. Finally, you'll delve into serverless computing and how to build microservices using Docker and Kubernetes. By the end of this book, you'll be proficient in developing applications using .NET Core 3.
Table of Contents (13 chapters)

Azure Kubernetes Service

Azure Kubernetes Service (or AKS, as it is commonly abbreviated to) is just one of several cloud Kubernetes offerings. It acts as a kind of halfway point between creating and hosting your own Kubernetes cluster and uses specific cloud services, such as AWS Lambda and Azure Functions. The main advantages here are control (you can determine why and how your deployment scales) and portability (you should be able to up sticks from Microsoft, drop the exact same setup into Google, and continue from where you left off).

Building a Docker image

Let's create a Docker image from our code. Find the Dockerfile inside your project and select Build Docker Image from the context menu:

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