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Serverless computing in Azure with .NET

You're reading from   Serverless computing in Azure with .NET Build, test, and automate deployment

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781787288393
Length 468 pages
Edition 1st Edition
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Author (1):
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Sasha Rosenbaum Sasha Rosenbaum
Author Profile Icon Sasha Rosenbaum
Sasha Rosenbaum
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Table of Contents (16) Chapters Close

Preface 1. Understanding Serverless Architecture FREE CHAPTER 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

Integrating Azure Functions with Cognitive Services API

In this chapter, we will integrate our functions with the Microsoft text sentiment analytics API and thus implement the key functionality of the full text sentiment analysis application implementation. We will cover the following topics:

  • Designing and implementing a text sentiment API call to analyze text
  • Expanding on the usage of shared code to encapsulate common functionality
  • Plugging the new results into the database and the Web UI

From the overall application standpoint, we are adding the last major component to our architecture, as shown in the following diagram:

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