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Azure Serverless Computing Cookbook

You're reading from   Azure Serverless Computing Cookbook Build and monitor Azure applications hosted on serverless architecture using Azure functions

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781800206601
Length 458 pages
Edition 3rd Edition
Tools
Concepts
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Author (1):
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Praveen Kumar Sreeram Praveen Kumar Sreeram
Author Profile Icon Praveen Kumar Sreeram
Praveen Kumar Sreeram
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Toc

Table of Contents (14) Chapters Close

Preface 1. Accelerating cloud app development using Azure Functions 2. Working with notifications using the SendGrid and Twilio services FREE CHAPTER 3. Seamless integration of Azure Functions with Azure Services 4. Developing Azure Functions using Visual Studio 5. Exploring testing tools for Azure functions 6. Troubleshooting and monitoring Azure Functions 7. Developing reliable serverless applications using durable functions 8. Bulk import of data using Azure Durable Functions and Cosmos DB 9. Configuring security for Azure Functions 10. Implementing best practices for Azure Functions 11. Configuring serverless applications in the production environment 12. Implementing and deploying continuous integration using Azure DevOps 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

In the world of...

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