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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 Nov 2018
Publisher Packt
ISBN-13 9781789615265
Length 424 pages
Edition 2nd Edition
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Authors (2):
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Jason Marston Jason Marston
Author Profile Icon Jason Marston
Jason Marston
Praveen Kumar Sreeram Praveen Kumar Sreeram
Author Profile Icon Praveen Kumar Sreeram
Praveen Kumar Sreeram
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Toc

Table of Contents (13) Chapters Close

Preface 1. Developing Cloud Applications Using Function Triggers and Bindings FREE CHAPTER 2. Working with Notifications Using the SendGrid and Twilio Services 3. Seamless Integration of Azure Functions with Azure Services 4. Understanding the Integrated Developer Experience of Visual Studio Tools 5. Exploring Testing Tools for the Validation of Azure Functions 6. Monitoring and Troubleshooting Azure Serverless Services 7. Developing Reliable Serverless Applications Using Durable Functions 8. Bulk Import of Data Using Azure Durable Functions and Cosmos DB 9. Implementing Best Practices for Azure Functions 10. Configuring of Serverless Applications in the Production Environment 11. Implementing and Deploying Continuous Integration Using Azure DevOps 12. Other Books You May Enjoy

Auditing Cosmos DB data using change feed triggers

Many of you might 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, we will learn about integrating serverless Azure Functions with a serverless NoSQL database in Cosmos DB. You can read more about Cosmos DB at https://docs.microsoft.com/en-us/azure/cosmos-db/introduction.

Often, it might be necessary to keep change logs of fields, attributes, documents, and more 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 so that you can store data in a separate audit table.

In this recipe, we will learn how easy it is to achieve the preceding use case and audit Cosmos DB collections by...

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