Infrastructure as Code manages computing infrastructure through machine-readable definition files instead of manual configuration, making environments versionable and repeatable.
Infrastructure as Code stores desired infrastructure state in declarative or imperative code. Automated tooling applies that code to create, update, or destroy resources consistently. Changes go through review, merge, and audit workflows just like application code.
That workflow replaces brittle manual console sessions with reproducible automation. When infrastructure is defined in code, teams can review changes in pull requests, test them in isolated environments, and roll back by reverting a commit. The main risk is treating IaC code as throwaway scripts instead of production artifacts that need testing, linting, and ownership.
Think of it like this. Think of a restaurant where every kitchen layout is drawn as a blueprint, reviewed, and rebuilt exactly the same way every time. No chef rearranges equipment by feel during dinner service.
Operators write configuration in languages such as HCL, YAML, JSON, or domain-specific DSLs. Tools such as Terraform, CloudFormation, Ansible, or Pulumi plan changes, validate syntax, and apply them against real providers. Drift detection compares actual state to declared state and alerts or corrects differences.
"IaC means immutable only." Mutable IaC still exists and is sometimes appropriate for configuration management. "IaC replaces all change management." Human-reviewed changes are still required for high-risk resources. "One tool handles everything." Provisioning, configuration, and secret management often need separate layers.
Repeatable environments and auditable change history, but requires discipline around testing, secrets handling, and state management. Works best when paired with CI/CD pipelines and peer review.