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Azure Serverless Computing Cookbook

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

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781788390828
Length 332 pages
Edition 1st Edition
Tools
Concepts
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Author (1):
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Praveen Kumar Sreeram Praveen Kumar Sreeram
Author Profile Icon Praveen Kumar Sreeram
Praveen Kumar Sreeram
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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

Pushing custom telemetry details to analytics of Application Insights

We have been asked by our customers to provide analytic reports of a derived metric with in AI. So, what is a derived metric? Well, by default, AI provides you with many insights about the metrics like requests, errors, exceptions, and so on. You can run queries on the information that AI provide using AI - Analytics query language, say, if you would like to understand the number of requests that are coming to a website for every hour a new metric derived from the out of the box metric.

In this context, requests per hour is a derived metric) and if you would like to build a new report within AI then you need to feed AI about the new derived metric on a regular basis. Once you feed the required data regularly, AI will take care of providing the reports for our analysis.

We will be using Azure Functions that feed...

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