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What Terraform is—and what it is not
HashiCorp Terraform is an infrastructure as code tool for managing cloud and on-premises resources. Instead of writing a sequence of manual setup instructions, you describe the desired end state in configuration. HashiCorp calls this declarative configuration: it describes “the end state of your infrastructure.” HashiCorp’s introduction to Terraform explains the model.
Terraform uses a provider—a plugin that lets Terraform interact with a platform or service—to communicate with infrastructure APIs. A configuration can also use modules, reusable groups of configuration that help organize and share infrastructure patterns. Terraform’s documentation covers the configuration language, CLI, providers, modules, state, HCP Terraform, and Terraform Enterprise. See the Terraform documentation.
Terraform is not a complete, independent inventory of everything in an account. Its understanding depends on the configuration, its state, and provider behavior. Resources changed outside Terraform or changes in what a provider can observe can affect what Terraform proposes next.
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How Terraform works: Write, Plan, Apply
HashiCorp describes Terraform’s core workflow as “Write – Author infrastructure as code. Plan – Preview changes before applying. Apply – Provision reproducible infrastructure.” The core workflow guide explains the three stages.
1. Write the configuration
Create configuration files describing the resources and settings you want. You can begin with a small example for one provider rather than trying to model an entire environment at once. Keep credentials out of configuration files and source control; use the credential mechanisms appropriate to your provider and environment.
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2. Prepare and check it
Run terraform init in the configuration directory to prepare the working directory and install the provider plugins the configuration requires. Then use terraform fmt to format configuration and terraform validate to check its syntax and internal consistency. These checks help catch errors, but they do not prove that a proposed change is safe or suitable for your environment.
3. Review the plan
Run terraform plan. Terraform compares the configuration with its current understanding of managed resources and the real objects it can inspect, then proposes a set of changes. Read the proposed additions, changes, and removals before proceeding. Pay particular attention to resource replacement or deletion, unexpected changes, and values that affect access, networking, or security.
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A plan is a snapshot for review, not a guarantee that outside conditions will stay unchanged until apply. Someone or something may alter infrastructure after planning. For team workflows, HashiCorp recommends reviewing the final concrete plan run against the shared branch and latest state after a pull request is approved and merged. HashiCorp’s workflow guide describes that review point.
4. Apply only after review
When the proposed changes are understood and appropriate, run terraform apply and review the plan Terraform presents before confirming. Applying provisions the changes through the provider. If the plan is unexpected, stop: revise the configuration or investigate the difference rather than confirming just to see what happens.
What state does, and why it needs protection
State is Terraform’s stored mapping and working understanding of resources it manages. Terraform uses it when calculating proposed changes. It is not merely a harmless cache: state can contain sensitive infrastructure information, including passwords or security keys. HashiCorp advises storing it securely and restricting access to people who need it. The infrastructure creation tutorial discusses state and its sensitivity.
- Do not publish state files or commit them to a public repository.
- Limit who and what can read or modify state, including automation identities.
- Choose storage and backup practices deliberately; remote storage does not automatically provide appropriate access control or recovery.
- Coordinate changes so concurrent operations do not conflict. A backend’s locking and other behavior depend on the backend and how it is operated.
Local state can be workable for an individual learning in a disposable environment. A team generally needs shared state so collaborators and automation act on a common view. Remote state can support that collaboration and help prevent conflicting runs, but it is not a substitute for access controls, backups, or clear operating procedures.
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Choosing a workflow: individual or team
| Choice | Useful when | Trade-offs to manage |
|---|---|---|
| Local CLI runs with local state | An individual is learning or working in a disposable environment. | State and sensitive inputs remain the operator’s responsibility; sharing and coordination are limited. |
| Team workflow with remote state | Multiple contributors need a shared record of managed resources. | Access, backup, locking, and recovery depend on the selected backend and team practices. |
| Manual runs from contributors’ machines | A small team has established local workflows and controls. | Contributors must arrange credentials and consistent execution practices; human coordination matters. |
| Shared execution through CI or HCP Terraform | A team wants runs handled in a shared, controlled environment. | Configuration, credentials, permissions, and review gates still need careful setup. |
HashiCorp presents HCP Terraform as a collaboration option and Terraform Enterprise as a self-hosted option for organizations with stricter security and compliance requirements. The exact features, limits, and pricing can change, so check current product documentation before selecting a service. Terraform documentation provides the product context.
For teams using version control, keep configuration changes reviewable and run plans against the branch and state that will actually be applied. After approval and merge, review the final plan again: the reviewed pull-request proposal may no longer reflect the latest state or code.
A safe way to get hands-on
HashiCorp’s official tutorials provide beginner tracks for providers including AWS and Azure, as well as collaboration material covering version-controlled configuration, remote runs, and state. The tutorial landing page also lists getting-started options for Google Cloud, Oracle Cloud, and Docker. Browse Terraform tutorials.
- Choose a controlled environment. Use a sandbox or low-cost account you control, and understand what resources a tutorial may create and how to remove them before applying anything.
- Inspect the example configuration. Identify the provider, resources, inputs, and outputs so you know what Terraform is being asked to manage.
- Format, initialize, and validate. Run
terraform fmt,terraform init, andterraform validatefrom the configuration directory. - Review the proposed changes. Run
terraform plan. If the result differs from what you expected, investigate before applying. - Apply only in the environment you control. Confirm the changes and inspect the resulting outputs and state carefully. Do not share state files or credentials.
- Clean up disposable resources. When finished, use the tutorial’s cleanup procedure or, for resources managed by that configuration, review
terraform destroy’s plan before confirming. Verify in the provider’s environment that the resources were removed.
Should you use a book to learn Terraform?
Start with HashiCorp’s free tutorials and documentation for hands-on, provider-specific guidance. A book can be a useful optional companion for a more sustained explanation, but Terraform evolves: check the book’s edition and confirm that its examples and guidance cover the version you intend to use. Do not rely on an older book for current commands or product behavior without checking the official documentation.
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