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 and monitor Azure applications hosted on serverless architecture using Azure functions

Arrow left icon
Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781800206601
Length 458 pages
Edition 3rd 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 (14) Chapters Close

Preface 1. Accelerating cloud app development using Azure Functions 2. Working with notifications using the SendGrid and Twilio services FREE CHAPTER 3. Seamless integration of Azure Functions with Azure Services 4. Developing Azure Functions using Visual Studio 5. Exploring testing tools for Azure functions 6. Troubleshooting and monitoring Azure Functions 7. Developing reliable serverless applications using durable functions 8. Bulk import of data using Azure Durable Functions and Cosmos DB 9. Configuring security for Azure Functions 10. Implementing best practices for Azure Functions 11. Configuring serverless applications in the production environment 12. Implementing and deploying continuous integration using Azure DevOps Index

Pushing custom metrics details to Application Insights Analytics

At times, businesses may ask developers to provide analytics reports for a derived metric within Application Insights. So, what is a derived metric? Well, by default, Application Insights provides us with many insights into metrics, such as requests, errors, and exceptions.

We can run queries on the information that Application Insights provides using its Analytics Query Language.

In this context, requests per hour is a derived metric, and to build a new report within Application Insights, we need to feed Application Insights data regarding the newly derived metric on a regular basis. Once the required data is fed regularly, Application Insights will take care of providing reports for our analysis.

We'll be using Azure Functions to feed Application Insights with a derived metric named requests per hour:

Feeding application-derived metrics to App Insights using Azure Functions
Figure 6.15: Feed Application—derived metrics to App Insights using...
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 $19.99/month. Cancel anytime