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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

Concepts

Cross Platform Mobile Development

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

Summary

In this chapter, we have implemented the integration of Azure Functions with the Microsoft Cognitive Services text sentiment analytics API. This integration allowed us to leverage the depth and breadth of Microsoft knowledge based on historical data, Machine Learning, and artificial intelligence to analyze the sentiment of input text.

We also expanded on the approach of using shared code across multiple Azure Functions to encapsulate functionality that is needed across the board, and we integrated the new results from a Twitter feed and document analysis with our Web UI dashboard.

During the previous four chapters, we walked through how to design and build a full text sentiment analytics application for analyzing text documents and tweets based on Azure serverless compute (Azure Functions), with a SQL Azure database as a data store and .NET Core Web application as a GUI.

As reflected in the architecture diagram in the beginning of this chapter, the application is comprised of multiple...

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