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Azure for Architects

Azure for Architects

By : Modi, Jack Lee, Rithin Skaria
3.5 (4)
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Azure for Architects

Azure for Architects

3.5 (4)
By: 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)
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20
Index

Azure Automation architecture

Azure Automation comprises multiple components, and each of these components is completely decoupled from the others. Most of the integration happens at the data store level, and no components talk to each other directly.

When an Automation account is created on Azure, it is managed by a management service. The management service is a single point of contact for all activities within Azure Automation. All requests from the portal, including saving, publishing, and creating runbooks, to execution, stopping, suspending, starting, and testing are sent to the automation management service and the service writes the request data to its data store. It also creates a job record in the data store and, based on the status of the runbook workers, assigns it to a worker.

Azure Automation architecture, showing how the Azure portal works with the Automation Management Service, Runbook Workers, and the Data Store for Runbook execution, Job creation, assignment, and execution.
Figure 4.3: Azure Automation architecture

The worker keeps polling the database for any new jobs assigned to it. Once it finds a job assignment, it fetches the job...

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