Azure Infrastructure As Code With Arm Templates And Bicep 1st Edition Henry Been by Henry Been, Eduard Keiholz, Erwin Staal 9781617299421, 1617299421 instant download after payment.

Master ARM templates, Bicep, and other Azure Infrastructure-as-Code tools, techniques, and practices to build infrastructure on the Azure cloud.
 
In Azure Infrastructure as Code you will learn how to:
• Create reusable infrastructure templates using advanced features of the ARM (Azure Resource Manager) syntax
• Write templates with the Azure Bicep domain-specific language (DSL)
• Test ARM and Bicep templates
• Deploy templates using deployment pipelines
• Guarantee repeated outcomes when you reuse templates to replicate infrastructure
• Share templates between teams
• Provision templates to provide standards and Azure Policy to enforce them
• Orchestrate complex deployments using Azure DevOps and GitHub Actions
• Pre-provision environments for other teams with deployment stacks
 
Azure Infrastructure as Code teaches you to use Azure’s native infrastructure as code (IaC) tools, like ARM and Bicep, to build, manage, and scale infrastructure with just a few lines of code. You’ll discover ARM templates, deployment stacks, and the powerful new language Bicep. See how easy they make it to create new environments, safely make infrastructure changes, govern your resources using Azure Policy, and prevent configuration drift. Loaded with in-depth coverage of syntax and lots of illustrative examples, this hands-on guide is a must-read for anyone looking to expand their knowledge of provisioning.
 
About the technology
Automating tasks like provisioning servers, operating systems, and storage, saves time and radically increases consistency. The Infrastructure as Code (IaC) approach brings the tools and practices of application deployment, such as Github Actions, automated testing, and pipeline-driven deployments, to infrastructure components. With Azure’s native IaC tools, you can create whole new infrastructures with just a few lines of code using declarative specifications and an intuitive domain-specific language.