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Azure Resource Manager Templates Quick Start Guide. Create, deploy, and manage Azure resources with ARM templates using best practices

Język publikacji: angielskim
Autor:
Ritesh Modi
Azure Resource Manager Templates Quick Start Guide. Create, deploy, and manage Azure resources with ARM templates using best practices Ritesh Modi - okladka książki

Azure Resource Manager Templates Quick Start Guide. Create, deploy, and manage Azure resources with ARM templates using best practices Ritesh Modi - okladka książki

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234
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Azure Resource Manager (ARM) templates are declarations of Azure resources in the JSON format to provision and maintain them using infrastructure as code. This book gives practical solutions and examples for provisioning and managing various Azure services using ARM templates.

The book starts with an understanding of infrastructure as code, a refresher on JSON, and then moves on to explain the fundamental concepts of ARM templates. Important concepts like iteration, conditional evaluation, security, usage of expressions, and functions will be covered in detail.

You will use linked and nested templates to create modular ARM templates. You will see how to create multiple instances of the same resources, how to nest and link templates, and how to establish dependencies between them.

You will also learn about implementing design patterns, secure template design, the unit testing of ARM templates, and adopting best practices.

By the end of this book, you will understand the entire life cycle of ARM templates and their testing, and be able to author them for complex deployments.
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O autorze książki

Ritesh Modi is a technologist with more than 18 years of experience. He holds a master's degree in science in AI/ML from LJMU. He has been recognized as a Microsoft Regional Director for his contributions to building tech communities, products, and services. He has published more than 10 tech books in the past and is a cloud architect, speaker, and leader who is popular for his contributions to data centers, Azure, Kubernetes, blockchain, cognitive services, DevOps, AI, and automation.

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