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)

Debugging live C# Azure Function hosted on the Microsoft Azure Cloud environment using Visual Studio

In one of the previous recipes, in the Connecting to the Azure Cloud storage from local Visual Studio environment recipe, you learned how to connect the cloud storage account from the local code. In this recipe, you will learn how to debug the live code running in the Azure Cloud environment. We will be performing the following steps in the BlobTriggerCSharp function of the FunctionAppinVisualStudio function app:

  • Change the path of the container in the Azure Management portal to the new container
  • Open the function app in Visual Studio 2017
  • Attach the debugger from within Visual Studio 2017 to the required Azure Function
  • Create a Blob to the new storage container
  • Debug the application after the breakpoints are hit