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What Is Infrastructure as Code?

Infrastructure as code is the practice of defining your servers, networks, and cloud resources in version-controlled files instead of configuring them by hand.

Clicking around a cloud console to set up infrastructure is slow, unrepeatable, and impossible to review. Infrastructure as code (IaC) replaces that with files that declare exactly what should exist, so your infrastructure becomes reproducible and reviewable like software.

The core idea

With IaC you write a description of the infrastructure you want, how many servers, what network, which databases, in configuration files. A tool reads those files and creates or updates the real resources to match. The files, not the console, are the authoritative definition of your environment.

Declarative versus imperative

Most IaC is declarative: you describe the desired end state and the tool figures out how to get there. This differs from imperative scripts that spell out each step. Declarative definitions let the tool detect drift and converge the environment back to what the files say.

An example

Instead of manually creating a server, an engineer writes a few lines declaring "one virtual machine of this size, in this network, with this disk." Running the tool creates it. Changing the size in the file and re-running updates it. Deleting the block removes it, all reviewed via pull request.

Why it matters

  • Reproducibility: spin up identical environments on demand.
  • Version control: every infrastructure change is tracked.
  • Review: changes go through pull requests like code.
  • Disaster recovery: rebuild from the definitions.

Where it fits

IaC is a cornerstone of DevOps and GitOps, and it pairs naturally with CI/CD: pipelines can apply infrastructure changes the same way they deploy applications. Defining environments in code is also what makes consistent staging and production environments achievable.

Key takeaways

  • IaC defines infrastructure in version-controlled files, not by hand.
  • Declarative definitions let tools converge reality to the desired state.
  • It brings reproducibility, review, and recovery to infrastructure.

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