Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Azure Serverless Computing Cookbook

You're reading from   Azure Serverless Computing Cookbook Build applications hosted on serverless architecture using Azure Functions

Arrow left icon
Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781788390828
Length 332 pages
Edition 1st Edition
Tools
Concepts
Arrow right icon
Author (1):
Arrow left icon
Praveen Kumar Sreeram Praveen Kumar Sreeram
Author Profile Icon Praveen Kumar Sreeram
Praveen Kumar Sreeram
Arrow right icon
View More author details
Toc

Table of Contents (11) Chapters Close

Preface 1. Accelerate Your Cloud Application Development Using Azure Function Triggers and Bindings FREE CHAPTER 2. Working with Notifications Using SendGrid and Twilio Services 3. Seamless Integration of Azure Functions with Other Azure Services 4. Understanding the Integrated Developer Experience of Visual Studio Tools for Azure Functions 5. Exploring Testing Tools for the Validation of Azure Functions 6. Monitoring and Troubleshooting Azure Serverless Services 7. Code Reusability and Refactoring the Code in Azure Functions 8. Developing Reliable and Durable Serverless Applications Using Durable Functions 9. Implement Best Practices for Azure Functions 10. Implement Continuous Integration and Deployment of Azure Functions Using Visual Studio Team Services

Adding multiple messages to a Queue using the IAsyncCollector function

In the first chapter, you learned how to create a Queue message for each request coming from the HTTP request. Now let's assume that each user is registering their devices (mobiles, laptops, and so on) using any client application (for example, a desktop app, a mobile app, or any client website) that can send multiple records in a single request. In these cases, the backend application should be smart enough to handle the load coming to it. In these cases, there should be a mechanism to create multiple Queue message in a single go asynchronously. You will learn how to create multiple Queue messages using the IAsyncCollector interface.

Here is a sample diagram that depicts the data flow from different client applications to the backend web API:

In this recipe, we will simulate the requests using the Postman...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime