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

Exploring Azure Databricks

In this section, we will explore the different features of Azure Databricks. However, we will start by defining Azure Synapse Analytics.

Azure Synapse Analytics

Databricks is a data, analytics, and AI company. This is a link to their platform: https://www.databricks.com/. They were the first creators of the open source versions of Apache Spark, Delta Lake, and MLflow. They used some of the architectural components of these services to compose Databricks. They tried to unify the innovation of the process within data science and data engineering.

Databricks offers an interactive workspace, helping to automate the production workflow. This entire workspace is fully managed, and Azure is the channel that Databricks uses to deliver a solution that can be deployed, regardless of the underlying infrastructure, such as servers and virtual machines.

Azure Databricks features

Azure Databricks offers multiples features:

  • Exploiting the Spark engine...