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

Free-flow configurations

ARM templates can be authored as generic templates where most, if not all, of the values assigned to variables are obtained as parameters. This allows the person using the template to pass any value they deem necessary to deploy resources in Azure. For example, the person deploying the template could choose a virtual machine of any size, any number of virtual machines, and any configuration for its storage and networks. This is known as free-flow configuration, where most of the configuration is allowed and the templates come from the user instead of being declared within the template.

There are challenges with this kind of configuration. The biggest one is that not all configurations are supported in every Azure region and datacenter in Azure. The templates will fail to create resources if those resources are not allowed to be created in specific locations or regions. Another issue with free-flow configuration is that users can provide any value they deem...