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

Known configurations

Known configurations, on the other hand, are specific pre-determined configurations for deploying an environment using ARM templates. These pre-determined configurations are known as T-shirt sizing configurations. Similar to the way a T-shirt is available in a pre-determined configuration such as small, medium, and large, ARM templates can be pre-configured to deploy a small, medium, or large environment depending on the requirements. This means that users cannot determine any random custom size for the environment, but they can choose from various provided options, and ARM templates executed during runtime will ensure that an appropriate configuration of the environment is provided.

So, the first step in creating a modular ARM template is deciding on the known configurations for an environment.

As an example, here is the configuration of a datacenter deployment on Azure:

Configuration of a datacenter deployment on Azure
Table 16.1: Configuration of a datacenter deployment on Azure...