Book Image

Serverless computing in Azure with .NET

By : Rosenbaum
Book Image

Serverless computing in Azure with .NET

By: Rosenbaum

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 (16 chapters)

Using Microsoft Cognitive Services APIs to analyze text


Microsoft Cognitive Services provide over a dozen different APIs for working with text, speech, images, videos, and more. Those APIs offer insights such as emotion recognition or speech intent recognition. Cognitive Services leverage Machine Learning and the wide range of knowledge gained by Microsoft while developing products such as Office and Bing. Cognitive Services APIs aim to arm developers with insights from enterprise-grade artificial intelligence tools by using a few simple lines of code. The complete list of currently available APIs is available at https://www.microsoft.com/cognitive-services/en-us/apis.

In this book, we will leverage one of the Microsoft Cognitive Services APIs, the text sentiment Analytics API. This API allows a user to submit text, and provides a sentiment score of the text in the 0 to 1 range, with 0 being the most negative and 1 being the most positive possible score.

As an example, the sentence "The crowd...