Infrastructure as Code (IaC)
Infrastructure as code (IaC) is the management of cloud and data-centre infrastructure through version-controlled definition files instead of manual configuration, allowing environments to be created, changed and audited repeatably.
Infrastructure as code (IaC) is the practice of defining servers, networks, storage, permissions and other infrastructure in machine-readable files rather than configuring them by hand. Declarative tools describe the desired end state and calculate the changes needed to reach it, while imperative tools execute steps in order. The definitions are stored in version control, reviewed like application code and applied automatically, so environments can be recreated consistently.
Widely used tools include Terraform and its open-source fork OpenTofu, AWS CloudFormation, Azure Resource Manager templates and Bicep, Pulumi, and configuration management tools such as Ansible. IaC is the foundation for repeatable cloud landing zones, disaster recovery environments and identical development, test and production stacks, and it lets auditors see exactly how infrastructure is configured.
Risks include configuration drift when people change resources manually, secrets accidentally committed to repositories, and state files that contain sensitive data and must be stored securely with locking. Policy-as-code checks and static analysis can block insecure settings, such as public storage or open firewall rules, before deployment. Changes should flow through pull requests and pipelines, with the planned changes reviewed before they are applied.
Key points
- Infrastructure is defined in files, stored in version control and applied automatically
- Declarative tools describe the desired end state; imperative tools run ordered steps
- Tools include Terraform, OpenTofu, AWS CloudFormation, Bicep, Pulumi and Ansible
- Manual changes cause drift; policy-as-code checks catch insecure settings early
Where AiVibe comes in
AiVibe Software Services delivers cloud solutions on AWS, Microsoft Azure, Google Cloud or on-premise, together with cloud security, legacy modernisation, data analytics and AI and machine learning services.