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

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

By : Hamida Rebai
4.2 (6)
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A Developer's Guide to Building Resilient Cloud Applications with Azure

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

4.2 (6)
By: Hamida Rebai

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)
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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

Exploring Azure Data Factory

ADF is an Azure cloud-based data integration service, a Platform-as-a-Service (PaaS) solution that allows you to orchestrate and automate data movement and data transformation. Data integration is the process of combining data from multiple sources and providing an integrated view of it.

ADF allows you to define and schedule data pipelines so that you can transfer and transform data. You can integrate your pipelines with other Azure services, making it easy for you to integrate data from cloud data stores. You can also process data using cloud-based compute resources and keep the results in another data store.

ADF is serverless, which means that you only pay for what you use.

With ADF, we can bring data into a common format. We can generate new insights we’d probably never have by keeping this data separately.

ADF is enterprise data ready because it has almost 90 different data connectors where we don’t need to use a server. It...

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