Files
ai-sdlc-standards/cost/requirements.md
Max Mayfield a7728c6266 AI SDLC Standards: cross-cutting requirements mono repo
- Security: input validation, SQL injection, auth annotations, secrets, CVE checks
- Architecture: API contract first, service boundaries, breaking change protocol
- DevOps: health checks, structured logging, resource limits, rollback safety
- Cost: resource tagging, auto-scaling limits, storage lifecycle
- Deterministic compliance checker (.tests/check.sh)
- Agent skill for context injection (Cursor, OpenSpec, Claude Code examples)
- Demo with intentional violations
2026-03-07 07:31:16 +00:00

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Cost & Tagging Requirements

Phase: deployment Enforcement: informational

COST-001: Resource Tagging

All cloud resources (AWS, GCP, Azure) MUST include the following tags:

  • team — owning team name
  • service — service identifier
  • environment — dev/staging/prod
  • cost-center — finance cost center code

Rule: Infrastructure-as-code (Terraform, CloudFormation, Pulumi) must include these tags on every resource that supports tagging.

Test: Parse IaC files, verify tag block contains all four required keys.

COST-002: No Open-Ended Auto-Scaling

Auto-scaling configurations MUST define a maxReplicas / maxCapacity ceiling.

Rule: Unbounded scaling is a cost incident waiting to happen. Every autoscaler must have an explicit maximum.

Test: Parse HPA/scaling configs, verify maxReplicas is set and is not unreasonably high (>50 requires justification).

COST-003: Storage Lifecycle

All S3 buckets / GCS buckets / Blob containers MUST have a lifecycle policy defined.

Rule: No indefinite storage retention. Every bucket must transition to cheaper tiers or expire objects after a defined period.

Test: Check IaC for lifecycle configuration on storage resources.