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 Data Lake Storage

Azure Storage includes five Azure services:

  • Azure Blob Storage, which is scalable storage for unstructured data
  • Azure Queue Storage, which allows us to build a reliable queue of messages
  • Azure Table Storage, which provides support for storing structured data
  • Azure Files Storage, which is used for cloud-based file shares
  • Azure Disks Storage, which provides managed storage for virtual machines disks

A data lake is a form of file storage, typically on a distributed filesystem for high-performance data access. The technologies that are commonly used to process queries against stored files and return data for reporting and analysis are Spark and Hadoop. These systems rely on a read-schema approach, which defines a tabular schema for semi-structured data files, where the data is parsed as it is read and no restrictions are applied when it is saved. Data lakes are ideal for supporting a mix of structured, semi-structured, and...