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DevOps

Infrastructure as Code (IaC)

IntermediateConcept12.3K learners

Infrastructure as Code (IaC) is the practice of defining and managing IT infrastructure — servers, networks, load balancers, and other resources — through machine-readable configuration files rather than manual, interactive processes.

Definition

Infrastructure as Code (IaC) is the practice of defining and managing IT infrastructure — servers, networks, load balancers, and other resources — through machine-readable configuration files rather than manual, interactive processes.

Overview

Instead of provisioning servers and networking by clicking through a cloud console or running one-off commands, IaC teams describe the desired infrastructure in version-controlled configuration files, which a tool then applies to create, update, or remove real resources. This turns infrastructure changes into the same reviewable, repeatable process used for application code: changes go through pull requests, code review, and automated pipelines rather than undocumented manual steps. IaC tools generally fall into two styles: declarative tools like Terraform and AWS CloudFormation, where you describe the desired end state and the tool figures out how to reach it, and imperative/configuration-management tools like Ansible, Puppet, or Chef, which are often used to configure software on already-provisioned machines. Because configuration lives in files, IaC pairs naturally with practices like GitOps, where Git becomes the source of truth for infrastructure state, and with immutable infrastructure, where servers are replaced rather than modified in place. IaC is foundational to modern DevOps and cloud practice because it makes environments reproducible — a staging environment can be built to match production exactly — and it reduces configuration drift, the gradual divergence between what infrastructure is supposed to look like and what it actually looks like after ad hoc manual changes accumulate over time.

Key Concepts

  • Infrastructure defined in version-controlled configuration files
  • Declarative tools (e.g. Terraform, CloudFormation) that compute the steps to reach a desired state
  • Imperative/configuration-management tools (e.g. Ansible, Chef, Puppet) for provisioning software on machines
  • Repeatable, reviewable changes through pull requests and pipelines
  • Reduced configuration drift between intended and actual infrastructure
  • Reproducible environments across development, staging, and production
  • Plan/preview steps that show what will change before applying

Use Cases

Provisioning cloud resources such as VMs, networks, and databases consistently
Recreating identical staging and production environments
Reviewing infrastructure changes through the same pull-request workflow as code
Automatically tearing down and rebuilding temporary environments
Auditing infrastructure history through version control
Reducing manual, undocumented changes made directly in a cloud console

Frequently Asked Questions

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