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

Scaling the application


Prior to the arrival of the public cloud, scaling applications to meet potential user demand required significant planning and upfront investments. A possibility of high load meant the need to provision spare hardware capacity to handle the maximum load well in advance of the event. Certain businesses, such as retail companies, which experience high load only during holidays, had to maintain large amounts of unused spare infrastructure during the entire year. Other businesses, such as utilities, which may experience high load due to unpredictable weather conditions, had to anticipate the maximum required capacity and run on over-provisioned infrastructure. Despite the very high cost of over-provisioned infrastructure, dynamic scaling was rarely implemented, as it required each organization to re-invent the wheel and required high collaboration between segregated teams, such as infrastructure and development. The level of automation required to enable dynamic scaling...