Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Developing Solutions for Microsoft Azure AZ-204 Exam Guide

You're reading from   Developing Solutions for Microsoft Azure AZ-204 Exam Guide A comprehensive guide to passing the AZ-204 exam

Arrow left icon
Product type Paperback
Published in May 2024
Publisher Packt
ISBN-13 9781835085295
Length 428 pages
Edition 2nd Edition
Tools
Arrow right icon
Authors (2):
Arrow left icon
Paul Ivey Paul Ivey
Author Profile Icon Paul Ivey
Paul Ivey
Alex Ivanov Alex Ivanov
Author Profile Icon Alex Ivanov
Alex Ivanov
Arrow right icon
View More author details
Toc

Table of Contents (16) Chapters Close

Preface 1. Chapter 1: Azure and Cloud Fundamentals 2. Chapter 2: Implementing Azure App Service Web Apps FREE CHAPTER 3. Chapter 3: Implementing Containerized Solutions 4. Chapter 4: Implementing Azure Functions 5. Chapter 5: Developing Solutions That Use Cosmos DB Storage 6. Chapter 6: Developing Solutions That Use Azure Blob Storage 7. Chapter 7: Implementing User Authentication and Authorization 8. Chapter 8: Implementing Secure Azure Solutions 9. Chapter 9: Integrating Caching and Content Delivery within Solutions 10. Chapter 10: Monitoring and Troubleshooting Solutions by Using Application Insights 11. Chapter 11: Implementing API Management 12. Chapter 12: Developing Event-Based Solutions 13. Chapter 13: Developing Message-Based Solutions 14. Chapter 14: Accessing the Online Practice Resources 15. Other Books You May Enjoy

Understanding the Role of Event-Driven Solutions

An event-driven solution plays a significant role in the modern world to help services running on different platforms and environments communicate. An event is a small chunk of data rapidly transferred from producers to consumers. Multiple events can form a stream of events where each event transfers the current state of the remote system. For instance, here’s a predictive maintenance scenario – IoT sensors can generate measurements in a real production environment. Then, Azure Stream Analytics services can implement the event-processing platform and leverage Azure Machine Learning services to monitor and predict trends in changes, recommending adjustments and maintenance.

Another common scenario of using events is the reactive programming model. Imagine a website that requires scaling at the time of peak load. You could build a service that can consume the events received from the monitoring system. When the workload...

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
Banner background image