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Serverless computing in Azure with .NET

Serverless computing in Azure with .NET

By : Rosenbaum
4.3 (3)
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Serverless computing in Azure with .NET

Serverless computing in Azure with .NET

4.3 (3)
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)
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Processing a Twitter feed


In this section, we will use a function to read and process a Twitter feed. Twitter exposes a REST API that, among other things, allows developers to search for tweets that include certain words or expressions. You can register an application with Twitter, and create custom code to call the Twitter Search API. To make things easier, in this book, we will use Azure Logic Apps to streamline the process of integrating with Twitter.

Azure Logic Apps provide a simplified way to implement common workflows without writing custom code. When creating Logic Apps, you can choose from a list of triggers and actions to execute, add conditional statements, and design multi-step workflows. Logic Apps provide hundreds of built-in triggers and actions, and over a hundred connectors to third-party SaaS applications.

Logic Apps offer a powerful way to implement common scenarios, and the integration between Logic Apps and Functions allows to add custom code into the workflow.

To implement...

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