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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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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

Introduction

When working on developing modern applications that need to be hosted on the cloud, you need to make sure that the applications are stateless. Statelessness is an essential factor for developing cloud-aware applications. For example, you should avoid persisting any data in the resource that is specific to any virtual machine (VM) instance that's provisioned to any Azure Service (for example, an app service, the API, and so on). If you do so, you cannot leverage some of the services, such as auto-scaling functionality, as the provisioning of instances is dynamic. If you depend on any VM-specific resources, you will end up facing issues with unexpected behaviors.

Having said that, the downside of the previously mentioned approach is that you end up working on identifying ways of persisting data in different mediums, depending on your application architecture.

For...
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