Terraform on AWS in Practice

Terraform on AWS in Practice is a practical guide to building, changing, automating, and troubleshooting AWS infrastructure safely with Terraform.Rather than treating Terraform as a collection of commands, this book teaches a disciplined way to manage infrastructure change. You will learn how to read plans before applying them, understand why Terraform proposes replacements, protect state, detect drift, recover from failed changes, and bring existing AWS resources under Terraform management.Using a progressive AWS lab, you will work with VPCs, public and private subnets, route tables, EC2, IAM, security groups, S3 remote state, data sources, workspaces, modules, and CI/CD.You will learn how to:Build AWS infrastructure with clean, reusable Terraform configurationUse variables, locals, outputs, count, and for_eachRead Terraform plans and understand create, update, replace, and destroy actionsProtect Terraform state with S3, versioning, encryption, and state lockingUse data sources to discover AWS information dynamicallyUnderstand what Terraform workspaces do—and what they do not doRefactor infrastructure safely into reusable modules with moved blocksRun Terraform through CI/CD using GitHub Actions and AWS OIDC authenticationDiagnose drift using the Configuration–State–AWS modelImport existing AWS resources into TerraformRecover methodically from failed applies and state problemsApply secure AWS practices including Session Manager, IMDSv2, encrypted storage, and least-privilege accessComplete a practical capstone that builds, changes, breaks, diagnoses, and recovers an AWS environmentThe focus throughout is practical decision-making: understand what Terraform intends to do, review the evidence, make the change deliberately, and verify the result.Terraform on AWS in Practice is designed for DevOps engineers, cloud engineers, infrastructure engineers, platform engineers, and developers who want to move beyond basic Terraform syntax and manage AWS infrastructure with greater confidence and control.