Infrastructure as Code Implementation Checklist

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Managing infrastructure manually — clicking through cloud consoles, running ad-hoc CLI commands, maintaining undocumented configurations — does not scale. Infrastructure as Code (IaC) treats your infrastructure like software: version-controlled, peer-reviewed, tested, and reproducible. This checklist guides you from tool selection through production-ready implementation.

Phase 1: Tool Selection

Choose your IaC tool based on your team’s skills, cloud strategy, and complexity requirements.

Comparison matrix

Criteria	Terraform	Pulumi	CloudFormation	Ansible
Language	HCL (domain-specific)	Python, TypeScript, Go, C#	YAML/JSON	YAML
Multi-cloud	Excellent (500+ providers)	Good (most major providers)	AWS only	Good (via modules)
State management	Remote state (S3, GCS, Terraform Cloud)	Pulumi Cloud or self-managed	Managed by AWS	Stateless
Learning curve	Medium (HCL is simple but unique)	Low (if you know Python/TS)	Medium (verbose YAML)	Low
Community modules	Largest ecosystem	Growing, smaller than Terraform	AWS-curated	Large (Ansible Galaxy)
Best for	Multi-cloud infrastructure	Teams preferring general-purpose languages	AWS-only shops	Configuration management + provisioning

Decision checklist

• Evaluate team skills — do you have HCL experience or would a general-purpose language be faster to adopt?
• Confirm cloud strategy — single cloud (CloudFormation may suffice) or multi-cloud (Terraform or Pulumi)
• Assess complexity — simple resource provisioning (Terraform) or complex logic with loops and conditionals (Pulumi)
• Check module availability — does the ecosystem have modules for your specific services?
• Consider hiring — Terraform engineers are easier to find than Pulumi engineers in 2026
• Run a proof of concept — provision a non-production environment with 2-3 candidate tools before committing

Phase 2: Repository Structure

A well-organized repository prevents drift, enables team collaboration, and scales with your infrastructure.

Recommended Terraform structure

infrastructure/
├── modules/                    # Reusable, versioned modules
│   ├── networking/
│   │   ├── main.tf
│   │   ├── variables.tf
│   │   ├── outputs.tf
│   │   └── README.md
│   ├── compute/
│   ├── database/
│   └── monitoring/
├── environments/               # Environment-specific configurations
│   ├── dev/
│   │   ├── main.tf            # References modules with dev variables
│   │   ├── variables.tf
│   │   ├── terraform.tfvars
│   │   └── backend.tf         # Dev state backend
│   ├── staging/
│   └── production/
├── policies/                   # OPA/Sentinel policies
└── scripts/                    # Helper scripts (init, import, etc.)

Structure checklist

• Separate modules from environment configurations — modules are reusable, environments are specific
• Pin module versions in environment configurations — source = "../modules/networking?ref=v1.2.0"
• Use remote state backends — S3 + DynamoDB for Terraform, Pulumi Cloud for Pulumi
• Enable state locking to prevent concurrent modifications
• Store sensitive variables in a secrets manager (AWS Secrets Manager, HashiCorp Vault) — never in .tfvars files committed to git
• Create a .gitignore that excludes .terraform/, *.tfstate, *.tfstate.backup, and .tfvars with secrets

Phase 3: Coding Standards

Resource naming

• Use a consistent naming convention: {project}-{environment}-{resource}-{identifier}
• Example: myapp-prod-vpc-main, myapp-staging-rds-primary
• Tag all resources with: environment, project, owner, managed-by: terraform
• Use locals for computed names to ensure consistency

Code quality

• Define all variables with descriptions and type constraints
• Set sensible defaults for optional variables
• Use validation blocks for variables that have specific constraints
• Output all values that downstream modules or human operators need
• Add descriptions to all outputs
• Use count or for_each for creating multiple instances of the same resource — prefer for_each for stability

Module design

• Each module provisions one logical resource group (networking, compute, database)
• Modules accept all environment-specific values as variables — no hardcoded values
• Modules output all identifiers needed by other modules
• Document module inputs, outputs, and usage examples in README
• Version modules with semantic versioning (breaking changes = major version bump)

Phase 4: CI/CD Integration

Pipeline stages

Stage	Trigger	Action	Duration
Lint	Every commit	terraform fmt -check, tflint	10-30 seconds
Security scan	Every commit	checkov, tfsec, or trivy	30-60 seconds
Plan	Every PR	terraform plan — output diff for review	1-5 minutes
Policy check	Every PR	OPA/Sentinel policy evaluation	10-30 seconds
Apply (dev)	Merge to main	terraform apply -auto-approve (dev only)	2-15 minutes
Apply (staging)	Manual trigger	terraform apply with approval gate	2-15 minutes
Apply (production)	Manual trigger	terraform apply with approval gate + change window	2-15 minutes

CI/CD checklist

• Run terraform fmt -check to enforce consistent formatting
• Run tflint to catch syntax errors and provider-specific issues
• Run security scanning (checkov/tfsec) to catch misconfigurations before they reach production
• Generate a terraform plan output on every pull request — attach it as a PR comment
• Require at least one approval of the plan diff before apply
• Auto-apply to dev on merge to main branch (fast feedback)
• Manual approval gates for staging and production applies
• Store plan output as an artifact — apply the exact plan that was reviewed, not a new one
• Set up drift detection — schedule terraform plan runs to detect manual changes

Phase 5: Testing

Static analysis (every commit)

• terraform validate — syntax and internal consistency
• tflint — provider-specific best practices and error detection
• checkov or tfsec — security policy compliance (no public S3 buckets, encryption enabled, etc.)
• Custom policy checks (OPA/Sentinel) — organizational standards

Plan review (every PR)

• Review the terraform plan diff for unexpected changes
• Verify that no resources are being destroyed unintentionally
• Check that new resources follow naming and tagging conventions
• Confirm that sensitive outputs are marked as sensitive

Integration testing (nightly or pre-release)

• Use Terratest (Go) or kitchen-terraform (Ruby) to:
  1. Provision real infrastructure in a sandbox account
  2. Validate resources were created correctly (check resource properties, connectivity)
  3. Run application-level smoke tests against the provisioned infrastructure
  4. Destroy all resources and verify clean teardown
• Keep sandbox accounts isolated with billing alerts and auto-cleanup
• Run integration tests against all environment configurations, not just dev

Phase 6: Governance and Operations

State management

• Store state remotely with encryption at rest and in transit
• Enable state locking (DynamoDB for Terraform/S3, built-in for Terraform Cloud)
• Back up state files automatically
• Restrict state access to CI/CD pipelines and designated operators — not all developers
• Never edit state files manually — use terraform state commands

Drift management

• Schedule weekly terraform plan runs to detect manual changes
• Alert when drift is detected — someone changed infrastructure outside IaC
• Establish a policy: either import the manual change into code or revert it
• Track drift incidents and their root causes — high drift frequency indicates process problems

Secret management

• Never store secrets in .tfvars, environment variables, or state files
• Use a secrets manager (Vault, AWS Secrets Manager, GCP Secret Manager)
• Reference secrets dynamically in Terraform using data sources
• Rotate secrets on a defined schedule
• Audit secret access logs regularly

Change management

• All infrastructure changes go through code review — no manual cloud console changes
• Use PR templates that require description of change, risk assessment, and rollback plan
• Schedule production changes during approved change windows
• Maintain a change log of all infrastructure modifications

How ARDURA Consulting Supports IaC Implementation

Implementing Infrastructure as Code requires DevOps engineers and cloud architects with hands-on experience across provisioning tools, CI/CD pipelines, and cloud platforms. ARDURA Consulting provides the expertise:

• 500+ senior specialists including certified cloud architects (AWS, Azure, GCP), Terraform experts, and DevOps engineers experienced in enterprise IaC implementations — available within 2 weeks
• 40% cost savings compared to permanent hiring, allowing you to bring in IaC expertise for the implementation phase without long-term headcount commitments
• 99% client retention — engineers who stay through implementation, stabilization, and knowledge transfer to your internal team
• 211+ completed projects including cloud migrations, multi-environment IaC setups, and platform engineering programs

Whether you need a cloud architect to design your IaC strategy or a DevOps team to implement and operationalize it, ARDURA Consulting provides the talent to make your infrastructure reproducible, auditable, and scalable.