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 Synapse Analytics

Azure Synapse Analytics is an integrated end-to-end solution for data analytics at scale. It includes multiple technologies and capabilities to combine the data integrity and reliability of a scalable, high-performance SQL Server-based relational data warehouse with the flexibility of a data lake and open source Apache Spark. It also contains native support for log and telemetry analytics through the use of Azure Synapse Data Explorer pools and built-in data pipelines for data ingestion and transformation.

All Azure Synapse Analytics services can be managed from a single interactive user interface called Azure Synapse Studio. It allows you to create interactive notebooks that can combine Spark code and Markdown content. Synapse Analytics is ideal for building a single, unified analytics solution on Azure.