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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

Deploying Azure Functions in a container

You have now seen some of the major use cases for Azure Functions—in short, when developing a piece of code and deploying it in a serverless environment, where a developer or administrator doesn't need to worry about the provisioning and scaling of instances to host server-side applications.

Note

You can take advantage of all the features of serverless (for example, autoscaling) only when you create your function application by choosing the Consumption plan in the Hosting Plan drop-down menu.

By looking at the title of this recipe, you might already be wondering why and how deploying an Azure function to a Docker container will help. Yes, the combination of Azure Functions and Docker containers might not make sense, as we would lose all the serverless benefits (for example, autoscaling) of Azure Functions if we deployed to Docker.

However, there may be some customers whose existing workloads might be in a cloud (be it...

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