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Azure Serverless Computing Cookbook

Azure Serverless Computing Cookbook

By : Praveen Kumar Sreeram
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Azure Serverless Computing Cookbook

Azure Serverless Computing Cookbook

5 (1)
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)
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13
Index

Auditing Cosmos DB data using change feed triggers

You may have already heard about Cosmos DB, as it has become very popular and many organizations are using it because of the features it provides.

In this recipe, you will learn to integrate serverless Azure Functions with a serverless NoSQL database in Cosmos DB. You can read more about Cosmos DB at https://docs.microsoft.com/azure/cosmos-db/introduction.

It might often be necessary to keep the change logs of fields, attributes, items, and other aspects for auditing purposes. In the world of relational databases, you might have seen developers using triggers or stored procedures to implement this kind of auditing functionality, where you write code to store data in a separate audit table.

In this recipe, you'll learn how easy it is to audit the changes made to Cosmos DB containers by writing a simple function that gets triggered whenever there is a change to an item in a Cosmos DB container.

Note

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