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

Integrating with a Service Bus queue


When speaking of integrations with other services and APIs, it is important to give an example of integrating Azure Functions with Azure Service Bus.

Even though Azure Functions scale on demand, they are designed to run and scale asynchronously. While in some cases it makes sense to trigger a function immediately when an event takes place, in others, it is important to introduce middleware that can decouple the creator of the event from its consumer, and allow them to scale at different rates, while ensuring that none of the events are left unprocessed. Azure Service Bus provides a set of message-oriented middleware technologies that can be used for reliable message queuing.

One of the typical scenarios in which we would want to leverage Service Bus Queues is a scenario of temporal decoupling. The sender, or multiple senders, will add new messages to the queue, and the receiver will pick the messages up as soon as it has available compute resources. This...