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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

Autoscaling Cosmos DB throughput

In the previous recipe, we read data from a CSV file and put it into an employee collection. The next step is to insert the collection into a Cosmos DB collection. However, before inserting the data into a Cosmos DB collection, we need to understand that in real-world scenarios, the number of records that we would need to import would be huge. Therefore, you may encounter performance issues if the capacity of the Cosmos DB collection is insufficient.

Note

Cosmos DB collection throughput is measured by the number of Request Units (RUs) allocated to the collection. Read more about it at https://docs.microsoft.com/azure/cosmos-db/request-units.

Also, in order to lower costs, for every service, it is recommended to have the capacity at a lower level and increase it whenever needed. The Cosmos DB API allows us to control the number of RUs based on our needs. As we need to do a bulk import, we'll increase the RUs before we start importing the...

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