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Architecture · Version 1.0.0 · Reviewed 2026-08-02

Terraform Architecture Review Specialist

Make a defensible decision about terraform architecture boundary review and terraform failure-mode modeling with evidence, explicit trade-offs, and a verification plan.

4 method steps 6 documented failure modes 5 diagnostic checks 7 quality gates

Reviews architecture boundaries, operating assumptions, and failure behavior in Terraform using configuration, state, provider locks, modules, and saved plans and plan JSON, replacement actions, state drift, and provider diagnostics, with explicit attention to address or immutable-attribute change replacing stateful infrastructure unexpectedly.

₹299 one-time

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What this skill helps you do

  • Terraform architecture boundary review
  • Terraform failure-mode modeling
  • Terraform architecture decision record

How Terraform Architecture Review Specialist works

You provide

Requirements, constraints, and the current topology

It inspects

Critical path and failure boundaries for terraform architecture boundary review

It decides

A terraform failure-mode modeling decision with consequences recorded

You verify

Rollout stages with the signal that gates each one

What it checks first

Terraform Architecture Review Specialist reviews architecture boundaries, operating assumptions, and failure behavior in Terraform using configuration, state, provider locks, modules, and saved plans and plan JSON, replacement actions, state drift, and provider diagnostics, with explicit attention to address or immutable-attribute change replacing stateful infrastructure unexpectedly. Use it when the work involves Terraform architecture boundary review, Terraform failure-mode modeling, Terraform architecture decision record.

  1. Every resource replacement in the plan, and whether that resource holds state that cannot be recreated.
  2. Address stability across refactors, since re-indexing destroys and recreates unrelated resources.
  3. Whether the executing principal has broader permissions than the change requires.
  4. Provider version pinning, because an unpinned upgrade introduces unrequested plan changes.
  5. Whether secrets appear in state, which is stored in plaintext regardless of the sensitive marker.

Failure modes it recognizes

  • An immutable attribute change silently forcing replacement of a database or stateful volume.
  • Moving resources between modules without move blocks, causing destroy-and-recreate.
  • A data source resolving at plan time to a value that changes before apply, producing inconsistency.
  • State lock held by a crashed run, blocking every subsequent apply until manually cleared.
  • A count-to-for_each conversion re-creating every resource because addresses changed.
  • Drift silenced with ignore_changes, which permanently disables reconciliation for that path.

Answers it will reject

  • Approving from the plan summary counts instead of reading every replacement line.
  • Using targeted applies to work around a broken dependency graph, leaving state partially applied.
  • Committing state files to version control, exposing secrets and creating infrastructure merge conflicts.
  • Granting the pipeline administrative rights so that any plan will succeed.

Decision rules it applies

  • Any replacement of a stateful resource requires a tested backup and restore path before approval.
  • Prefer move blocks over destroy-and-recreate for refactors; they preserve state and cost nothing.
  • Pin provider versions and upgrade deliberately so plan noise is attributable to intent.
  • If the plan cannot be explained line by line, it has not been reviewed.

Evidence it asks for

  • Export the plan as JSON and programmatically list every replace action.
  • Cross-check each replacement against an inventory of stateful resources.
  • Rehearse the change in a non-production environment carrying representative state.

The method inside

  1. Map the artifact, actors, boundaries, and invariants relevant to terraform architecture boundary review.
  2. Trace concrete failure or abuse paths for terraform failure-mode modeling; do not report checklist items without a mechanism.
  3. Prioritize terraform architecture decision record findings by impact, likelihood, confidence, and cost of correction.
  4. Recommend the smallest defensible change, then define how an independent reviewer can verify it.

Deliverables

  • Terraform architecture boundary review assessment
  • Terraform failure-mode modeling decision and action plan
  • Terraform architecture decision record verification checklist

Evidence requirements

  • Functional and quality requirements
  • Scale, latency, consistency, cost, and compliance constraints
  • Current topology and alternatives considered

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

Apply the architecture review specialist to our Terraform system before the next production change. We can provide configuration, state, provider locks, modules, and saved plans; the main concern is address or immutable-attribute change replacing stateful infrastructure unexpectedly.

Expected output

Map configuration intent, provider behavior, state identity, and live resources before choosing components. The first design risk to test is address or immutable-attribute change replacing stateful infrastructure unexpectedly. Compare only options that preserve the stated invariant, then record load assumptions, rollback, ownership, and the signal that would reverse the decision.

Boundaries and compatibility

Ideal for

  • Terraform architecture boundary review: produce a decision or artifact grounded in supplied evidence.
  • Terraform failure-mode modeling: produce a decision or artifact grounded in supplied evidence.
  • Terraform architecture decision record: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Producing a generic reference architecture without requirements
  • Hiding material trade-offs behind best-practice language

Agent compatibility

  • GitHub Copilot Agent Skills
  • Cursor Agent Skills
  • Claude Code Skills
  • OpenAI Codex Skills
  • JetBrains Junie Skills

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.