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 Automation State Configuration

Azure Automation provides a Desired State Configuration (DSC) pull server along with every Azure Automation account. The pull server can hold configuration scripts that can be pulled by servers across clouds and on-premises. This means that Azure Automation can be used to configure any server hosted anywhere in the world.

The DSC needs a local agent on these servers, also known as a local configuration manager (LCM). It should be configured with the Azure Automation DSC pull server so it can download the required configuration and autoconfigure the server.

The autoconfiguration can be scheduled to be periodic (by default it is half an hour), and if the agent finds any deviation in the server configuration compared to the one available in the DSC script, it will autocorrect and bring back the server to the desired and expected state.

In this section, we will configure one server hosted on Azure, and the process will remain the same irrespective...