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Infrastructure as Code (IaC) means defining computing infrastructure in machine-readable files and using tools to create, change, and manage real resources from those definitions. Instead of repeating console steps by hand, a team can review infrastructure changes, track them in version control, and apply them through an automated workflow. That makes infrastructure work more repeatable and collaborative—but it does not make deployments automatically safe or secure.
What is infrastructure as code?
Infrastructure as Code is the practice of provisioning and supporting infrastructure through code rather than relying on manual processes and settings. In practical terms, a team records its intended resources—such as networks, compute, storage, and permissions—in files, then uses an IaC tool to interact with provider APIs and bring deployed infrastructure into line with those definitions. AWS describes the practice as provisioning and supporting computing infrastructure using code instead of manual processes (AWS: Infrastructure as Code); HashiCorp describes managing infrastructure with configuration files rather than a graphical interface (Terraform introduction).
IaC is a practice, not a single product. Terraform, AWS CloudFormation, AWS CDK, Azure Bicep, and Pulumi are examples of tools or frameworks that can be used to define and provision infrastructure, with different provider coverage and workflows.
Declarative and imperative approaches
Declarative IaC describes the desired end state: for example, that a service should have a particular network and a specified number of compute resources. The tool determines the operations needed to reach that state. An imperative approach instead specifies a sequence of steps to perform. Both styles can automate infrastructure; they differ in how the team expresses the change and how the tool interprets it.
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How does infrastructure as code work?
Imagine a service that needs a virtual network, compute capacity, storage, and access permissions. The team encodes the resources and their dependencies in configuration. An IaC tool reads the definitions, identifies the provider or providers involved, and makes API calls to create or modify resources. A typical workflow separates writing the desired configuration from reviewing and applying the changes.
A Terraform workflow, step by step
Terraform’s documented workflow is a useful example; exact commands depend on the configuration and provider setup (HashiCorp: Terraform introduction).
- Scope the infrastructure. Decide which resources the configuration will manage and how they relate to one another.
- Author configuration. Describe the intended resources and settings in Terraform configuration files.
- Initialize the working directory. Run
terraform initto prepare the directory and install the providers required by the configuration. - Inspect a plan. Run
terraform planto see proposed creates, updates, or destroys before they take effect. Treat this as a review point, especially when changes affect production or shared resources. - Apply the changes. Run
terraform applywhen the proposed changes have been reviewed and approved under the team’s process.
Terraform uses state to track the real resources associated with a configuration and determine what changes are needed. State is operationally important and may contain sensitive information. Teams should restrict access and use secure storage and a deliberate collaboration workflow; state should not be treated as an ordinary file that is automatically safe to commit to a repository (HashiCorp: Terraform state).
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DevOps depends on collaboration between software development and operations. IaC makes infrastructure changes visible and processable through familiar software practices: teams can see what changed, discuss it before release, validate it automatically, and apply it through a defined pipeline instead of relying on undocumented sequences of console actions.
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- Repeatability: Reuse definitions to create similar development, test, and production environments instead of reconstructing each one manually.
- Change history and collaboration: Version control records edits over time and supports reviews and discussion before a change is applied.
- Automation: IaC can be connected to CI/CD workflows so configuration is checked and infrastructure changes follow a consistent delivery process.
- Drift awareness: Drift is a difference between deployed infrastructure and its declared configuration. IaC tools and workflows can reveal or help correct some divergence, but they cannot prevent every out-of-band change or guarantee detection in every setup.
- Earlier security review: Teams can inspect configuration and run validation or policy checks before deployment. This is useful only when checks are appropriate and someone responds to their results.
What IaC does not guarantee
IaC does not make a system secure by itself, eliminate configuration drift, or prevent destructive changes. A configuration can encode overly broad permissions or other insecure settings, and applying it consistently can reproduce that mistake across environments. A resource changed manually outside the managed workflow can also leave the written definition out of sync with reality.
Reduce those risks with reviewed plans, automated validation and policy checks, controlled credentials, secure state storage, and clear ownership for exceptions. Keep changes to managed resources within the agreed workflow where practical, and investigate differences rather than assuming that a successful apply proves the whole environment is correct (HashiCorp: Terraform security tutorials).
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How to choose an IaC tool
There is no universal winner. AWS Prescriptive Guidance compares CloudFormation, AWS SAM, AWS CDK, Terraform, and Pulumi for provisioning AWS resources (AWS Prescriptive Guidance: Choosing an IaC tool). Microsoft’s overview points Azure users to Bicep, Terraform, and Pulumi (Microsoft Learn: Infrastructure as code). HashiCorp presents Terraform as a tool for managing infrastructure across providers and services (Terraform introduction), while CloudFormation is an AWS option. These are vendor sources describing their own ecosystems, not neutral rankings.
| Decision factor | Questions to ask | Why it matters |
|---|---|---|
| Provider scope | Is the estate mostly on one cloud, or must the workflow manage resources across multiple providers and services? | A provider-native tool may fit a single-provider environment; a multi-provider tool may offer a more consistent workflow across providers. Confirm support for the exact resources required. |
| Language and skills | Will the team work best with a domain-specific configuration language, templates, or a general-purpose programming language? | The language affects readability, reuse, onboarding, and the skills needed to maintain infrastructure. |
| Workflow | How are previews or plans reviewed, applied, and recovered from if a change goes wrong? | The tool needs to fit the team’s release, approval, and recovery practices. |
| State and governance | Where is state held, who can access it, and what approval, audit, policy, and concurrency controls are needed? | State handling and governance affect security and safe collaboration. |
| Existing operations | Which option fits current cloud, CI/CD, security, and support practices? | A technically capable tool may still be a poor operational fit if the team cannot support its workflow. |
For the narrower question “Terraform vs. CloudFormation?”, start with scope and operations: CloudFormation is designed for AWS infrastructure, while Terraform is positioned for use across providers. Then compare the precise resource coverage, language, state handling, governance, and review workflow your team needs. Capabilities, licensing, and supported APIs change, so check the current official documentation for each candidate before committing to a design. Pulumi’s IaC overview, updated September 29, 2026, is one vendor-authored snapshot of the broader tool landscape (Pulumi: What is Infrastructure as Code?).
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