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Serverless computing in Azure with .NET

You're reading from  Serverless computing in Azure with .NET

Product type Book
Published in Aug 2017
Publisher Packt
ISBN-13 9781787288393
Pages 468 pages
Edition 1st Edition
Languages

Table of Contents (23) Chapters

Title Page
Credits
Foreword
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Understanding Serverless Architecture 2. Getting Started with the Azure Environment 3. Setting Up the Development Environment 4. Configuring Endpoints, Triggers, Bindings, and Scheduling 5. Integrations and Dependencies 6. Integrating Azure Functions with Cognitive Services API 7. Debugging Your Azure Functions 8. Testing Your Azure Functions 9. Configuring Continuous Delivery 10. Securing Your Application 11. Monitoring Your Application 12. Designing for High Availability, Disaster Recovery, and Scale 13. Designing Cost-Effective Services 14. C# Script-Based Functions 15. Azure Compute On-Demand Options

Blob Storage trigger


One of the prominent use cases for serverless computing is file processing. A function can be triggered upon file upload to a particular data store to do immediate manipulations on the data. This allows for asynchronous processing, and eliminates the need to be polling or traversing the data store in search of new data. In this manner, you can kick off a media encoding process, an image compression process, or, in our example, a text sentiment analysis on a text file after the user uploads a file.

To set up a function triggered by a file upload to the Azure Blob Storage, we will first need to create a storage account.

Creating a storage account for document upload

Let's create a storage account for document upload by performing the following steps:

  1. To create a Blob storage account, in the Azure portal, navigate to New (plus icon) -> Storage -> Storage Account as shown in the following screenshot:
  1. In the new blade, fill in the following required settings:
    • Name: Type...
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