Overview
- Explore how Terraform can be used with other platforms like AWS, Azure and VMware
- Learn how to reverse engineer with Terraform for pre-existing legacy systems
- Understand how to use Terraform and its infrastructure automation capabilities
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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.Authors and Affiliations
About the authors
Sumit Bhatia is a global infrastructure solutions architect with a focus on addressing difficult business challenges and encouraging green IT through intelligent hybrid cloud strategies, advanced automation and cost savings in IT operations to support the global oil and gas industry. With over 15 years in the tech industry, Sumit is driving technology innovations by employing his deep knowledge on automation tactics, DevOps practices, multi-cloud, and edge computing solutions engineering. With the help of his world-class inventions with Terraform, the introduction of capacity management as service (CMaaS) in hybrid deployments, and cost reductions with cutting-edge ON/OFF solutions, his firm was able to cut their yearly spending by hundreds of thousands of dollars. He received an award which is the "highest honor" from his organization, a pioneer in the field of energy innovation.
Sumit is a well-known author in leading oil and gas industry journals. He is actively contributing to the community as an expert reviewer for industry leading technology publications and journals. His steadfast drive to sharing information and best practices has aided several professionals in navigating the complicated realm of sustainability and solutions engineering.
Bibliographic Information
Book Title: Reverse Engineering with Terraform
Book Subtitle: An Introduction to Infrastructure Automation, Integration, and Scalability using Terraform
Authors: Sumit Bhatia, Chetan Gabhane
DOI: https://doi.org/10.1007/979-8-8688-0074-0
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Sumit Bhatia, Chetan Gabhane 2024
Softcover ISBN: 979-8-8688-0073-3Published: 27 December 2023
eBook ISBN: 979-8-8688-0074-0Published: 26 December 2023
Edition Number: 1
Number of Pages: XXII, 273
Number of Illustrations: 58 b/w illustrations
Topics: Open Source, Professional Computing