Book Image

Serverless computing in Azure with .NET

Book Image

Serverless computing in Azure with .NET

Overview of this book

Serverless architecture allows you to build and run applications and services without having to manage the infrastructure. Many companies have started adopting serverless architecture for their applications to save cost and improve scalability. This book will be your companion in designing Serverless architecture for your applications using the .NET runtime, with Microsoft Azure as the cloud service provider. You will begin by understanding the concepts of Serverless architecture, its advantages and disadvantages. You will then set up the Azure environment and build a basic application using a sample text sentiment evaluation function. From here, you will be shown how to run services in a Serverless environment. We will cover the integration with other Azure and 3rd party services such as Azure Service Bus, as well as configuring dependencies on NuGet libraries, among other topics. After this, you will learn about debugging and testing your Azure functions, and then automating deployment from source control. Securing your application and monitoring its health will follow from there, and then in the final part of the book, you will learn how to Design for High Availability, Disaster Recovery and Scale, as well as how to take advantage of the cloud pay-as-you-go model to design cost-effective services. We will finish off with explaining how azure functions scale up against AWS Lambda, Azure Web Jobs, and Azure Batch compare to other types of compute-on-demand services. Whether you’ve been working with Azure for a while, or you’re just getting started, by the end of the book you will have all the information you need to set up and deploy applications to the Azure Serverless Computing environment.
Table of Contents (23 chapters)
Title Page
Credits
Foreword
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Azure Functions pricing


Azure Functions are available in the following two different pricing models:

  • Consumption plan: This plan is allocated and scaled dynamically and priced per function execution.
  • App Service plan: This plan is priced on per node per hour basis, and thus offers predictable pricing. This plan offers auto-scaling options, but isn't as dynamic as the Consumption plan.

In most cases, the Consumption plan will be significantly cheaper than the App Service plan. However, when dealing with continuously running functions, it is usually cheaper to run under the App Service plan. In addition to that, as discussed in previous chapters, certain features (such as no function execution time limit, no cold startup latency, and ability to integrate with private networks), are only available under the App Service plan.

For all of the services used in our text sentiment analysis application, the pricing model is to pay for what you use. Hence, the total cost of each service will depend on...