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Azure Serverless Computing Cookbook

Azure Serverless Computing Cookbook

By : Praveen Kumar Sreeram
5 (1)
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Azure Serverless Computing Cookbook

Azure Serverless Computing Cookbook

5 (1)
By: Praveen Kumar Sreeram

Overview of this book

This third edition of Azure Serverless Computing Cookbook guides you through the development of a basic back-end web API that performs simple operations, helping you understand how to persist data in Azure Storage services. You'll cover the integration of Azure Functions with other cloud services, such as notifications (SendGrid and Twilio), Cognitive Services (computer vision), and Logic Apps, to build simple workflow-based applications. With the help of this book, you'll be able to leverage Visual Studio tools to develop, build, test, and deploy Azure functions quickly. It also covers a variety of tools and methods for testing the functionality of Azure functions locally in the developer's workstation and in the cloud environment. Once you're familiar with the core features, you'll explore advanced concepts such as durable functions, starting with a "hello world" example, and learn about the scalable bulk upload use case, which uses durable function patterns, function chaining, and fan-out/fan-in. By the end of this Azure book, you'll have gained the knowledge and practical experience needed to be able to create and deploy Azure applications on serverless architectures efficiently.
Table of Contents (14 chapters)
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13
Index

Monitoring and sending notifications using Logic Apps

One of my colleagues, who works for a social grievance management project, is responsible for monitoring the problems that users post on social media platforms, including Facebook and Twitter. He was facing the problem of continuously monitoring the tweets posted on his customer's Twitter handle with specific hashtags. His main job was to respond quickly to the tweets by users with a huge follower count, say, users with more than 50,000 followers. Hence, he was looking for a solution that kept monitoring a particular hashtag and alerted him whenever a user with more than 50,000 followers tweets so that he can quickly have his team respond to that user.

Note

For the sake of simplicity, in this recipe, we will have the condition to check for 200 followers instead of 50,000 followers.

Before I knew about Azure Logic Apps, I thought it would take a few weeks to learn about, develop, test, and deploy such a solution. Obviously...

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