Book Image

Azure Serverless Computing Cookbook - Second Edition

By : Praveen Kumar Sreeram, Jason Marston
Book Image

Azure Serverless Computing Cookbook - Second Edition

By: Praveen Kumar Sreeram, Jason Marston

Overview of this book

Microsoft provides a solution for easily running small segments of code in the cloud with Azure Functions. The second edition of Azure Serverless Computing Cookbook starts with intermediate-level recipes on serverless computing along with some use cases demonstrating the benefits and key features of Azure Functions. You’ll explore 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. As you make your way through the chapters, you’ll get practical recipes on integrating DevOps with Azure Functions, and providing continuous integration and continuous deployment with Azure DevOps. This book also provides hands-on, step-by-step tutorials based on real-world serverless use cases to guide you through configuring and setting up your serverless environments with ease. You will also learn how to build solutions for complex, real-world, workflow-based scenarios quickly and with minimal code using Durable Functions. In the concluding chapters, you will ensure enterprise-level security within your serverless environment. The most common tips and tricks that you need to be aware of when working with Azure Functions on production environments will also be covered in this book. By the end of this book, you will have all the skills required for working with serverless code architecture, providing continuous delivery to your users.
Table of Contents (13 chapters)

Pushing custom telemetry details to Application Insights Analytics

You have been asked by your customers to provide analytic reports for a derived metric within Application Insights. So, what is a derived metric? Well, by default, Application Insights provides you with many insights into metrics such as requests, errors, exceptions, and so on.

You can run queries on the information that Application Insights provides using its Analytics query language.

In this context, requests per hour is a derived metric, and if you would like to build a new report within Application Insights, then you will need to feed Application Insights about the new derived metric on a regular basis. Once you start feeding the required data regularly, Application Insights will take care of providing reports for your analysis.

We will be using Azure Functions that feed Application Insights with a derived...