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

Chapter 5. Integrations and Dependencies

In previous chapters, we started working on an implementation of a text sentiment analysis application using Azure serverless computing. We built a number of functions and discussed the process of setting up triggers as well as input and output bindings.

Standalone functions will work great in some cases, however, in most applications, we will need to integrate the serverless computing with other types of services to achieve the results we require. In this chapter, you will learn more about Azure Function integrations and dependencies and leveraging additional cloud services where applicable. We will discuss some of the most common scenarios, including the following:

  • Integration with Logic Apps to process a Twitter feed
  • Integration with Service Bus
  • Sharing code between different functions in the same Function App
  • Adding references to the NuGet packages and other external libraries

Leveraging Logic Apps will allow us to create simple workflows prior to triggering...