Book Image

Azure Serverless Computing Cookbook - Third Edition

By : Praveen Kumar Sreeram
Book Image

Azure Serverless Computing Cookbook - Third Edition

By: Praveen Kumar Sreeram

Overview of this book

This third edition of Azure Serverless Computing Cookbook guides you through the development of a basic back-end web API that performs simple operations, helping you understand how to persist data in Azure Storage services. You'll cover the integration of Azure Functions with other cloud services, such as notifications (SendGrid and Twilio), Cognitive Services (computer vision), and Logic Apps, to build simple workflow-based applications. With the help of this book, you'll be able to leverage Visual Studio tools to develop, build, test, and deploy Azure functions quickly. It also covers a variety of tools and methods for testing the functionality of Azure functions locally in the developer's workstation and in the cloud environment. Once you're familiar with the core features, you'll explore advanced concepts such as durable functions, starting with a "hello world" example, and learn about the scalable bulk upload use case, which uses durable function patterns, function chaining, and fan-out/fan-in. By the end of this Azure book, you'll have gained the knowledge and practical experience needed to be able to create and deploy Azure applications on serverless architectures efficiently.
Table of Contents (14 chapters)
13
Index

Integrating Application Insights with Power BI using Azure Functions

Sometimes, we need to view real-time data regarding our application's availability or information relating to the application's health on a custom website. Retrieving information for Application Insights and displaying it in a custom report would be a tedious job, as you might need to develop a separate website and build, test, and host it somewhere.

In this recipe, you'll learn how easy it is to view real-time health information for the application by integrating Application Insights and Power BI. We'll be leveraging Power BI capabilities for the live streaming of data, and Azure timer functions to continuously feed health information to Power BI. This is a high-level diagram of what we'll be doing in the rest of the recipe:

Flow chart for integrating real-time App Insights monitoring with Power BI using Azure Functions
Figure 6.29: Flowchart for integrating real-time Application Insights monitoring with Power BI using Azure Functions

As depicted...