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03023nam a22004815i 4500 |
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978-1-4842-3219-4 |
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DE-He213 |
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20210618233230.0 |
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171110s2017 xxu| s |||| 0|eng d |
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|a 9781484232194
|9 978-1-4842-3219-4
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|a 10.1007/978-1-4842-3219-4
|2 doi
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|a QA76.76.M52
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|a UMP
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|a 004.165
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|a Ambi Karthikeyan, Shijimol.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Azure Automation Using the ARM Model
|h [electronic resource] :
|b An In-Depth Guide to Automation with Azure Resource Manager /
|c by Shijimol Ambi Karthikeyan.
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|a 1st ed. 2017.
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|a Berkeley, CA :
|b Apress :
|b Imprint: Apress,
|c 2017.
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|a XVII, 174 p. 245 illus., 234 illus. in color.
|b online resource.
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|a text
|b txt
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|a computer
|b c
|2 rdamedia
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|a online resource
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|a text file
|b PDF
|2 rda
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|a Focus exclusively on the Azure Resource Manager (ARM) deployment model for Azure automation and gain in-depth knowledge of topics such as runbook authoring, different types of automation runbooks, and hybrid cloud automation. This book covers practical approaches to creating runbooks for multiple use cases, including operational tasks such as VM management and integration of Azure automation with infrastructure monitoring solutions, such as Operations Management Suite (OMS). Along the way you’ll see how to use PowerShell in Azure automation and cover essentials including Azure automation security, source control integration, and runbook output streams. Finally, you learn about integrating Azure automation with Desired State Configuration (DSC) to include various cloud, on-premise, and hybrid scenarios. You will: Work with the building blocks of Azure automation Create different types of runbook Master hybrid cloud automation with ARM Implement cloud automation use cases with practical examples.
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|a Microsoft software.
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|a Microsoft .NET Framework.
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|a Application software.
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|a Management information systems.
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|a Microsoft and .NET.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I29030
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|a Computer Applications.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/I23001
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|a Business IT Infrastructure.
|0 https://scigraph.springernature.com/ontologies/product-market-codes/522040
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9781484232187
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|i Printed edition:
|z 9781484232200
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|u https://doi.org/10.1007/978-1-4842-3219-4
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|a ZDB-2-CWD
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|a ZDB-2-SXPC
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|a Professional and Applied Computing (SpringerNature-12059)
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950 |
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|a Professional and Applied Computing (R0) (SpringerNature-43716)
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