> tpl_cld_011
Infrastructure-as-Code (IaC) Specification
Production standard and platform blueprint defining Infrastructure-as-Code modularity, state locking, drift detection, automated policy-as-code linting (Checkov/tfsec), PR-driven plan-and-apply GitOps workflows, and blast-radius containment.
Enterprise IaC specification governing module boundaries, state-locking, drift telemetry, policy-as-code checks, and GitOps pipelines.
Important Tech Document Template & Operational Notice
TinyCTO.tv Tech Document Template Notice: This template is a general educational and operational starting point. It is not legal, tax, accounting, investment, procurement, regulatory, security or certification advice. Requirements vary by jurisdiction, organization, contract and risk. Review and adapt it with qualified professionals before relying on it.
Problem Solved
Engineering teams write monolithic, undocumented Terraform scripts with unencrypted local state files, unvetted provider versions, and manual terminal applies, leading to production state corruption, drift blindspots, and massive security exposures.
When to Use
- •Establishing enterprise-wide standards for Terraform, OpenTofu, AWS CDK, or Pulumi repository architecture
- •Implementing automated CI/CD GitOps pipelines with PR speculative plans and role-gated production applies
- •Configuring remote state encryption, DynamoDB/GCS distributed locking, and multi-account state partitioning
When NOT to Use
- •For overarching multi-cloud strategic governance models and organizational FinOps (use TPL-CLD-008)
- •For Kubernetes cluster-internal workload manifests and Helm chart definitions (use TPL-CLD-012)
5 Template Sections & Structural Outline
Establishing modular folder layouts (e.g. terragrunt/env/region/tier), strictly isolating state files between environments (dev/stage/prod) and infrastructure tiers (network/security/app) to minimize blast radius.
Mandating centralized object storage (AWS S3, Google Cloud Storage, Azure Blob) with KMS client-side encryption, versioning, MFA delete, and distributed state locking via DynamoDB or native backend locks.
Implementing PR-driven infrastructure reviews using tools like Atlantis, Spacelift, or GitHub Actions. Generating automated speculative plans with Infracost cost diffs, security policy scans, and requiring peer sign-offs.
Integrating automated static security scanners (Checkov, tfsec, trivy) and OPA/Rego policy gates in CI pipelines to catch unencrypted disks, public S3 buckets, and wildcard IAM policies before plan generation.
Configuring daily scheduled drift detection workflows to identify manual console changes (ClickOps). Defining automated alerting and reconciling state via code updates or controlled re-applies.
Completion Instructions
Independent Review Checklist
- All mandatory sections completed
- No secrets or passwords included
- Executive sponsor sign-off obtained
Infrastructure-as-Code (IaC) Specification - Worked Case Study
Fictional Entity: Enterprise SaaS Multi-Tenant Cloud Infrastructure (50+ AWS Accounts, 200+ Terraform Modules)
Real-world production case study demonstrating complete operational adoption for Enterprise SaaS Multi-Tenant Cloud Infrastructure (50+ AWS Accounts, 200+ Terraform Modules).
- •Eliminated manual ClickOps modifications by 99.4% through mandatory Spacelift GitOps pipelines
- •Blocked 140+ unencrypted storage misconfigurations in pre-commit hooks via Checkov automated policy gates
- •Reduced multi-account infrastructure deployment lead time from 14 days to 45 minutes
Frequently Asked Questions
Why should terraform state files strictly be isolated by environment and infrastructure tier?
A single monolithic state file creates a catastrophic blast radius: a typo in an application change can destroy the VPC or root DNS, and concurrency locking halts the entire engineering team. Splitting state into granular modules (e.g. network, security, data, app) ensures faults and state locks remain localized.
How does speculative planning in GitOps prevent unauthorized cloud cost surges?
Speculative plans run automatically inside pull request CI runners using tools like Infracost. The tool evaluates the terraform plan JSON against current cloud pricing APIs, posting a detailed table on the PR indicating the exact monthly cost delta before any code is approved or merged.
How should teams handle secrets in Infrastructure-as-Code without committing plaintext credentials?
Plaintext secrets must never be stored in IaC variables or Git repositories. Use integration plugins with cloud secret managers (e.g. AWS Secrets Manager, HashiCorp Vault, Azure Key Vault) or dynamic ephemeral OIDC credentials in CI runners to inject secrets at runtime without persisting them to state files when possible.
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Authoritative Sources
- CIS Amazon Web Services Foundations Benchmark v2.0Center for Internet Security (CIS) • OFFICIAL REQUIREMENT
- Terraform Best Practices & Enterprise Architecture GuideHashiCorp • OFFICIAL REQUIREMENT
- OpenTofu Foundation Manifesto and GitOps Delivery StandardsLinux Foundation / OpenTofu • OFFICIAL REQUIREMENT