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Sách Reverse Engineering with Terraform

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Sách Reverse Engineering with Terraform

Sách Reverse Engineering with Terraform (sách keo gáy, bìa mềm)
 
This book is a comprehensive guide for employing
Terraform in infrastructure as code automation, and its application to
infrastructure operations. Reverse Engineering with Terraform begins
with an introduction to Terraform’s core functionalities, including
state files, configuration files, and providers, followed by a deep dive
into the tool. You’ll then learn how to pinpoint problems with
Terraform automation and how reverse engineering can help you resolve
them. Drilling down, authors Sumit Bhatia and Chetan Gabhane walk you
through the various steps in reverse engineering with an eye towards
more effective Terraform integration with preexisting and legacy IT
infrastructure. Using a real-world reverse engineering example, they
demonstrate how to import a preexisting resource into your
infrastructure, which can help you develop an automatable and scalable
method for Terrraform adoption. You’ll also learn how to create
reusable, shareable components to streamline infrastructure code and
foster collaboration within teams, and advanced techniques for using
Terraform to optimize infrastructure provisioning, configuration, and
management. Filled with real-world case studies, tips and tricks, and
best practices, this book will leave you with a thorough understanding
of the infrastructure as code paradigm, and how to leverage Terraform
automation with legacy as well as modern IT infrastructure. What You
Will Learn Understand Terraform and its infrastructure automation
capabilities Explore how Terraform can be used with other platforms like
AWS, Azure and VMware Master the basic concepts of reverse engineering
for legacy infrastructure entities Enable Terraform in legacy IT
environments through reverse engineering Who This Book Is For IT
architects, admins, technical managers, and infrastructure solution
experts. Minimal knowledge of Python programming is the only
prerequisite.
 
Categories:Engineering - Civil & Structural Engineering
 
Year:2024
 
Language:english
 
Pages:288