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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 with a Service Bus queue


When speaking of integrations with other services and APIs, it is important to give an example of integrating Azure Functions with Azure Service Bus.

Even though Azure Functions scale on demand, they are designed to run and scale asynchronously. While in some cases it makes sense to trigger a function immediately when an event takes place, in others, it is important to introduce middleware that can decouple the creator of the event from its consumer, and allow them to scale at different rates, while ensuring that none of the events are left unprocessed. Azure Service Bus provides a set of message-oriented middleware technologies that can be used for reliable message queuing.

One of the typical scenarios in which we would want to leverage Service Bus Queues is a scenario of temporal decoupling. The sender, or multiple senders, will add new messages to the queue, and the receiver will pick the messages up as soon as it has available compute resources. This...

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