Book Image

A Developer's Guide to Building Resilient Cloud Applications with Azure

By : Hamida Rebai Trabelsi
Book Image

A Developer's Guide to Building Resilient Cloud Applications with Azure

By: Hamida Rebai Trabelsi

Overview of this book

To deliver software at a faster rate and reduced costs, companies with stable legacy systems and growing data volumes are trying to modernize their applications and accelerate innovation, but this is no easy matter. A Developer’s Guide to Building Resilient Cloud Applications with Azure helps you overcome these application modernization challenges to build secure and reliable cloud-based applications on Azure and connect them to databases with the help of easy-to-follow examples. The book begins with a basic definition of serverless and event-driven architecture and Database-as-a-Service, before moving on to an exploration of the different services in Azure, namely Azure API Management using the gateway pattern, event-driven architecture, Event Grid, Azure Event Hubs, Azure message queues, FaaS using Azure Functions, and the database-oriented cloud. Throughout the chapters, you’ll learn about creating, importing, and managing APIs and Service Fabric in Azure, and discover how to ensure continuous integration and deployment in Azure to fully automate the software delivery process, that is, the build and release process. By the end of this book, you’ll be able to build and deploy cloud-oriented applications using APIs, serverless, Service Fabric, Azure Functions, and Event Grid technologies.
Table of Contents (18 chapters)
1
Part 1: Building Cloud-Oriented Apps Using Patterns and Technologies
5
Part 2: Connecting Your Application with Azure Databases
13
Part 3: Ensuring Continuous Integration and Continuous Container Deployment on Azure

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

Symbols

401 Access Denied response 25

A

ADF components 218

activities 218

control flow 219

datasets 218

integration runtime 219

linked services 218

mapping data flows 219

parameters 219

pipeline runs or pipeline execution 219

pipelines 218

trigger 219

variables 219

Advanced Message Queuing Protocol (AMQP) 5

API Gateway pattern 12

advantages 12

definition 12

disadvantages 14

use case 13

API life cycle

consumption phase 5

control phase 5

creation phase 5

API Management

administrators group 20

API gateway 16

API, using 15

backend API, importing 33-36

components 14, 15

creating, with Azure portal 16, 17

developer portal 17, 18

developers group 20

exploring 14

group 20

guests group 20

...