Book Image

Azure for Architects - Third Edition

By : Ritesh Modi, Jack Lee, Rithin Skaria
Book Image

Azure for Architects - Third Edition

By: Ritesh Modi, Jack Lee, Rithin Skaria

Overview of this book

Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions. You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities. By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions.
Table of Contents (21 chapters)
20
Index

Azure cloud services

A search for sql in the Azure portal provides multiple results. I have marked some of them to show the resources that can be used directly for OLTP applications:

List of Azure SQL services
Figure 7.1: List of Azure SQL services

Figure 7.1 shows the varied features and options available for creating SQL Server–based databases on Azure.

Again, a quick search for database in the Azure portal provides multiple resources, and the marked ones in Figure 7.2 can be used for OLTP applications:

List of Azure services used for OLTP applications
Figure 7.2: List of Azure services used for OLTP applications

Figure 7.2 shows resources provided by Azure that can host data in a variety of databases, including the following:

  • MySQL databases
  • MariaDB databases
  • PostgreSQL databases
  • Cosmos DB

Next, let's discuss deployment models.