Cloud & Infrastructure · Infrastructure as Code
Infrastructure as Code is the practice of defining and provisioning cloud and on-premises infrastructure through versioned, machine-readable configuration files rather than manual console changes. Evolvice designs and operates Terraform- and OpenTofu-based IaC pipelines with peer review, automated testing and drift detection for enterprise environments.
Overview
Most enterprises run infrastructure that was originally built by hand and only partially, inconsistently converted to code, leaving critical resources undocumented and unreproducible. We bring the entire estate under version control, replace manual console changes with a reviewed pull-request workflow, and run continuous drift detection so the deployed state always matches the declared configuration.
Diagnostic
Patterns we repeatedly find when taking over an existing infrastructure codebase.
Symptom
Symptom
Symptom
Symptom
Structure
The value of Infrastructure as Code is not that it automates provisioning but that it makes infrastructure state reviewable, testable and reproducible like application code. Without a single declared source of truth, every environment eventually diverges from what the documentation claims it is.
We structure IaC around modular, environment-separated state, mandatory peer review and automated drift detection, so the codebase remains the authoritative description of the running environment at all times.
Definition
Infrastructure as Code is the management of infrastructure — networks, virtual machines, load balancers and connection topology — through machine-readable definition files, applied via a repeatable, versioned process rather than interactive manual configuration.
Delivery model
A repeatable five-step engagement we run for every IaC estate we take over.
Inventory of all cloud resources, reconciled against existing Terraform state and imported where no code representation exists, within 10-15 working days.
Monolithic configurations split into reusable modules with state separated by environment and service boundary to contain blast radius.
Pull-request workflow with mandatory plan review, policy checks and approval gates before any apply reaches a shared environment.
Scheduled plan runs detect configuration drift from manual changes, with alerts routed to the owning team for reconciliation.
Periodic full-environment rebuild tests confirm the codebase can reconstruct infrastructure end-to-end within agreed recovery time objectives.
Compliance
How our delivery model maps to the four reference frameworks German enterprises are audited against.
| Control | ISO 27001 | NIS2 | BSI-Grundschutz | GDPR |
|---|---|---|---|---|
| Change Management for Infrastructure | A.8.32 | Art. 21(2)(b) | OPS.1.1.3 | Art. 32(1)(b) |
| Configuration & Version Control | A.8.9 | Art. 21(2)(d) | CON.8 | Art. 25 |
| Segregation of Environments | A.8.31 | Art. 21(2)(i) | SYS.1.1 | Art. 32(1)(b) |
| Backup & Recovery Testing | A.8.13 | Art. 21(2)(c) | CON.3 | Art. 32(1)(c) |
| Access Control to Deployment Pipeline | A.5.15 / A.8.5 | Art. 21(2)(i) | ORP.4 | Art. 32(1)(a) |
Questions & Answers
Definitions, delivery detail and commercial answers in one place — written to be quotable by search and AI answer engines, and readable by your team.
Infrastructure as Code is the practice of defining and managing infrastructure resources through versioned, machine-readable configuration files, applied through a repeatable automated process instead of manual, interactive changes.
In the cluster
Azure and AWS estates operated against measurable reliability and unit-cost targets.
Part of our Cloud & Infrastructure practiceWe start with a 30-minute diagnostic of your current delivery — at no cost and with no sales pitch. You leave with a written summary of findings either way.