Book Image

Azure Serverless Computing Cookbook

By : Praveen Kumar Sreeram
Book Image

Azure Serverless Computing Cookbook

By: Praveen Kumar Sreeram

Overview of this book

Microsoft provides a solution to easily run small segment of code in the Cloud with Azure Functions. Azure Functions provides solutions for processing data, integrating systems, and building simple APIs and microservices. The book starts with intermediate-level recipes on serverless computing along with some use cases on benefits and key features of Azure Functions. Then, we’ll deep dive into the core aspects of Azure Functions such as the services it provides, how you can develop and write Azure functions, and how to monitor and troubleshoot them. Moving on, you’ll get practical recipes on integrating DevOps with Azure functions, and providing continuous integration and continous deployment with Visual Studio Team Services. It also provides hands-on steps and tutorials based on real-world serverless use cases, to guide you through configuring and setting up your serverless environments with ease. Finally, you’ll see how to manage Azure functions, providing enterprise-level security and compliance to your serverless code architecture. By the end of this book, you will have all the skills required to work with serverless code architecture, providing continuous delivery to your users.
Table of Contents (11 chapters)

Processing a file stored in OneDrive using an external file trigger

In the previous recipe, you learned how to process an individual request and store it in Azure SQL Database. At times, we might have to integrate our custom applications with different CRMs, which would not be exposed to other systems in general. So in these cases, people might share the CRM data via Excel sheets or JSON in some external file storage systems like OneDrive, FTP, and so on.

In this recipe, you will learn how to leverage the Azure Function Runtime and its templates to quickly integrate Azure Functions with OneDrive, retrieve the JSON file, process it, and store the data into Azure SQL Database.

At the time of writing this, external file triggers are in an experimental state. It's not suggested to use them in production yet.