Published on: 28 nov 2025

Terraform at scale: why stability is no accident

AuteurJeroen HermesFunctieData Engineer

Tag(s)

Expert DataOps

How, as an organisation, you prevent your Terraform landscape from collapsing under its own weight.

Terraform is the standard for Infrastructure as Code at many organisations. Teams use it to define, version and reproduce infrastructure. And it works, until it doesn’t.

As an organisation grows, so does its complexity. What started as an uncluttered project with a few simple modules slowly turns into a web of dependencies, variables and environments. Deployments get slower, CI/CD pipelines get cluttered with temporary fixes, and nobody is sure anymore whether a change in “network” will also hit production.

Terraform’s promise of consistency and repeatability disappears just when you need it most.

AuteurJeroen HermesFunctieData Engineer

Tag(s)

Expert DataOps

The challenge of scale

Terraform is often introduced with the best of intentions. Each team picks up a piece of infrastructure, builds its own modules and adds variables for flexibility. But slowly this grows into a tangle of dependencies. A small tweak can then cause a chain reaction: modules are too intertwined, IDs are hardcoded in code, and a simple name change has a “blast radius” that no one can overlook.

Without clear structure and governance, Terraform turns from a foundation of stability into a source of fragility.

The goal: operational stability

A mature Terraform setup is not about “automating as much as possible”. The real goal is to make infrastructure reliable, manageable and predictable. Because downtime, delays and failed deploys directly affect productivity and customer satisfaction, a stable platform delivers direct business value. In addition, a stable platform also ensures confidence in change, and that is where infrastructure matures.
But stability does not come naturally. It requires a conscious way of working, in which structure, modularity and governance reinforce each other.

Our approach: structure, method and boundaries

1. Structure starts with the repo

The basis of a healthy Terraform landscape lies in a clear repository structure.

Many organisations spread their modules across multiple repositories to encourage reuse. This sounds logical, but in practice it often leads to dependency chaos: versions diverge, simple changes require updates in multiple repos, and CI/CD pipelines become unnecessarily complex.

A monorepo works better in many cases. Everything stays together, dependencies are visible, and modules and environments evolve at the same pace. This is not to say that you shouldn’t create separate modules; on the contrary, good use of modules creates generic and reusable code, which increases development speed. Specifically, splitting modules into different repositories often causes problems at Terraform.

The following applies here: do not make modules too small. Too many small modules will cause a domino effect with every change. A module should be a logical building block – independently usable and decoupled from its parent. Use clear interfaces (outputs and inputs) and avoid hardcoded names or IDs; these are ticking time bombs for refactors.

For example, a monorepo might look like this:

terraform/
├── modules/ # Reusable modules ↪So_
│ ├── network/
│ ├── compute/
│ └── storage/
└── platforms/ # Main modules to be deployed
    ├── data_domain/
    └── data_science/

Clear, consistent and recognisable.

2. The developer way-of-work

A good structure is only valuable if it is worked with properly.

Teams should be able to develop and test locally, but only be allowed to deploy via controlled pipelines. So no terraform apply from a laptop, but via CI/CD.

Infrastructure as Code is code, and thus belongs to the same discipline: work via pull requests, plan → review → merge → apply. Automate checks with terraform fmt, validate, tflint and security/policy scans. Use drift detection to spot anomalies early.

Good governance also means clear boundaries: freedom where you can, control where you must. Policies and scripts can prevent anyone from accidentally stepping outside their scope.

The result? A workflow in which developers can work quickly, without compromising the stability of production.

3. Setting limits: not everything belongs in Terraform

A mature Terraform landscape knows where the boundaries are. Some organisations want to manage everything with Terraform, even app configuration or data pipelines. But that makes infrastructure heavy and inflexible.

Terraform excels in stable infrastructure components such as networking, compute, storage, identity, security. For dynamic resources, such as dashboards, pipelines or temporary workloads, another mechanism is often better.

Not wanting to do everything in Terraform is not a weakness, but a sign of maturity.

Terraform is powerful, but not a hammer to hit every infrastructure nail.

Terraform is powerful, but not a hammer to hit every infrastructure nail.

4. CI/CD and governance: the backbone of stability

Whether you use GitLab CI, Azure DevOps or another platform, the principles remain the same: every change goes through code review, every deployment is controlled and reproducible.

Providers and modules have versions, so no one is surprised by an update during a release. In addition, ownership is essential: who is allowed to modify what, who reviews, who is responsible for which environment? Without clear ownership, there is no stability.

Why this matters

A stable Terraform landscape delivers more than technical peace of mind: fewer incidents, faster recovery procedures, shorter lead time, more confidence in infra-changes and a unified way of working across teams. Moreover, it ensures compliance and auditability without additional overhead.

Terraform at scale requires vision, structure and ownership. Those who treat it as a product, with maintenance, governance and quality as core values, will find that stability is not an accident, but a logical consequence.

We can help

At Blenddata, we help organisations professionalise their Terraform landscape: from repo structure and modular design to CI/CD and governance.

We know what works when growing from one environment to dozens, without affecting stability.

Want to know how your Terraform setup can grow with your organisation?

Contact us. We are happy to think along with you.

Contact

Vincent Fokker

Co-founder | Data Architect

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