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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
Tools
Concepts
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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

Auto-scaling Cosmos DB throughput

In the previous recipe, we read data from an Excel sheet and put it into an employee collection. The next step is to insert the collection into a Cosmos DB collection. However, before we insert the data into the 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, and so you might face performance issues if the capacity of the Cosmos DB collection is not sufficient.

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

Also, in order to lower costs, for every service, it is recommended that you have the capacity at a lower level and increase it whenever needed. The Cosmos DB API allows us to control the number...

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