How do organisations decide which infrastructure resources should be imported first?

Which infrastructure resources belong in the first Terraform import wave?

The first import wave should focus on resources that are both operationally important and easy to validate. That usually means shared infrastructure, customer-facing services, and resources with clear ownership or heavy change activity. The practical goal is not to migrate everything at once, but to bring the most consequential assets under code control early so teams can reduce drift, understand dependencies, and avoid blind spots.

That priority order matters because import work is often limited by incomplete documentation, legacy naming, and hidden coupling between resources. A well-chosen first wave gives teams faster confidence in the inventory, surfaces exceptions sooner, and helps establish the patterns that later imports will follow. For environments that include non-human identities, the same logic often applies to the credentials and service relationships that control access to those resources, not just the resources themselves. In practice, many teams discover the true priority order only after they hit the first unresolved dependency or ownership gap.

How organisations decide the import sequence in practice

Most teams start by ranking infrastructure resources against three questions: what breaks if this changes, how widely it is used, and how hard it is to verify safely after import. A resource that supports many workloads, sits on a critical path, or has strong business visibility usually outranks an isolated or low-impact item. This is why shared network layers, core identity-adjacent services, and regional foundations are often imported before niche application components.

The next filter is operational feasibility. Some resources are valuable but too entangled to import safely on day one. Others are technically simple but offer little immediate visibility. A practical sequence balances those factors rather than treating importance as the only criterion. Teams often build a short candidate list, validate ownership and dependencies, then import in batches that can be reviewed without overloading change windows.

A useful decision pattern is to import resources where the team can answer three things with confidence: who owns it, what depends on it, and what would prove the imported state is correct. If any of those answers are weak, the resource may still be important, but it is usually better to defer it until supporting information is available. For shared services and infrastructure that carries access relationships, those checks should include the non-human identities or automation paths that can alter or consume the resource.

• Prioritise resources with high blast radius before low-impact items.
• Prefer assets with stable ownership and observable configuration.
• Group imports by dependency chain when one resource cannot be validated alone.
• Use the first batch to establish naming, review, and state-checking conventions.

That approach breaks down when the environment lacks reliable inventory data or when too many resources share undocumented dependencies.

When the first batch should be smaller, slower, or more selective

Tighter import sequencing often increases short-term effort, so organisations need to balance speed against validation quality. The standard answer works best in mature environments with clear ownership; it is less reliable where legacy estates, manual changes, or cross-team dependencies make verification difficult. In those cases, a smaller first wave is usually safer than a broad one because it reduces the chance of importing an incomplete or misleading view of the environment.

There is also a genuine trade-off between importing the most critical resources and importing the easiest ones. Easy imports create momentum, but they can produce false confidence if they do not cover the parts of the stack that actually drive operational risk. By contrast, critical-first imports improve visibility where it matters most, but they may require more coordination and acceptance of temporary exceptions while the inventory is still being stabilised.

External guidance on machine and non-human identity management can be useful where infrastructure import decisions intersect with automated access paths. The OWASP Non-Human Identity Top 10 helps teams think about the identity and credential relationships that may need to be reviewed alongside the resource itself. That becomes especially important when the imported infrastructure is governed by service accounts, API keys, or automation identities rather than only by human operators.

Where teams are unsure, the safest rule is to slow down at the point where validation becomes speculative. Importing fewer resources first is not a failure if it produces a more trustworthy control plane for everything that follows.

Risk and Threat Considerations

Import prioritisation creates exposure when teams bring low-value resources under code control while leaving high-impact systems, shared dependencies, or access-bearing automation unmanaged. The risk is not the import process itself, but the gap between what is actually operating in production and what the team can see, review, and govern.

Failure mechanism: Poor sequencing can leave drift, permission sprawl, or undocumented dependencies in the most sensitive parts of the environment. If those areas are also controlled by non-human identities, stale credentials or untracked automation can continue to change infrastructure outside the intended workflow.

Impact: Organisations may misjudge configuration state, miss access paths that can alter critical resources, and delay remediation on the systems where failures or abuse would matter most. That weakens change assurance and can prolong exposure across multiple downstream services.

Practitioner Guidance

What to prioritise: Start with the resources that combine high blast radius, clear ownership, and verifiable state. If a resource is important but cannot be validated cleanly, treat that as a sequencing problem rather than forcing it into the first batch.

Decision rule: If the team cannot confidently describe the dependencies and access paths around a resource, do not make it an early import candidate. If it can be validated quickly and it anchors many other assets, it should usually move up the queue.

What to verify: Confirm ownership, dependency scope, and the related automation or machine access before trusting the imported state. The import is only useful if the resulting record matches the way the resource is actually controlled in production.

Practitioner takeaway: The best import sequence is the one that improves real control fastest, not the one that maximises volume first.

Related resources from NHI Mgmt Group

• Should organisations prioritise external exposure or internal credential governance first?
• How do organisations operationalise NHI ownership at scale?
• When should organisations treat an NHI as a high-priority risk?
• How can organisations reduce the blast radius of compromised agent identities?