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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

Serverless

Serverless refers to a deployment model in which users are responsible for only their application code and configuration. In serverless computing, customers do not have to bother about bringing their own underlying platform and infrastructure and, instead, can concentrate on solving their business problems.

Serverless does not mean that there are no servers. Code and configuration will always need compute, storage, and networks to run. However, from the customer's perspective, there is no visibility of such compute, storage, and networks. They do not care about the underlying platform and infrastructure. They do not need to manage or monitor infrastructure and the platform. Serverless provides an environment that can scale up and down, in and out, automatically, without the customer even knowing about it. All operations related to platforms and infrastructures happen behind the scenes and are executed by the cloud provider. Customers are provided with performance...

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