Files
sar/.claude/skills/bmad-testarch-nfr/steps-c/step-04d-subagent-scalability.md
julian 17c08e6392 chore: initial monorepo scaffold + WDS Phase 1+2 artifacts
- Nx 22.7 monorepo (pnpm 11.1, TypeScript 5.9, Node 24)
- apps/api: NestJS 11 (CJS conforme CODING-RULES.md PGD-DB-004)
- apps/web: React 19 + Vite 8 (ESM)
- libs/shared/api-interface: Zod contract base
- Docker Compose dev: Postgres 18, Valkey 8, MinIO, Mailpit
- WDS artifacts:
  - design-artifacts/A-Product-Brief/ (5 docs canônicos + 16 dialogs)
  - design-artifacts/B-Trigger-Map/ (hub + 4 personas + feature impact)
- Stack canon: STACK.md v2.2 + CODING-RULES.md v2.0 + brand.md
- AGENTS.md + README.md como entrada para devs/agentes

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-27 14:34:20 +00:00

2.0 KiB

name, description, subagent, outputFile
name description subagent outputFile
step-04d-subagent-scalability Subagent: Scalability NFR evidence audit true /tmp/tea-nfr-scalability-{{timestamp}}.json

Subagent 4D: Scalability NFR Evidence Audit

SUBAGENT CONTEXT

This is an isolated subagent running in parallel with other NFR domain evidence audits.

Your task: Assess SCALABILITY NFR domain only.


SUBAGENT TASK

1. Scalability Evidence Audit Categories

A) Horizontal Scaling:

  • Stateless architecture
  • Load balancer configuration
  • Container orchestration (K8s)
  • Auto-scaling policies

B) Vertical Scaling:

  • Resource allocation
  • Database size limits
  • Memory management
  • CPU optimization

C) Data Scaling:

  • Database partitioning/sharding
  • Read replicas
  • Caching layers
  • Data archival strategy

D) Traffic Handling:

  • CDN for static assets
  • Rate limiting
  • Queue systems for async work
  • WebSocket scaling

OUTPUT FORMAT

{
  "domain": "scalability",
  "risk_level": "MEDIUM",
  "findings": [
    {
      "category": "Horizontal Scaling",
      "status": "PASS",
      "description": "Stateless architecture with container orchestration",
      "evidence": ["Docker + Kubernetes setup", "Auto-scaling configured"],
      "recommendations": []
    },
    {
      "category": "Data Scaling",
      "status": "CONCERN",
      "description": "No database sharding strategy for large data growth",
      "evidence": ["Single database instance", "No partitioning"],
      "recommendations": ["Plan database sharding strategy", "Implement read replicas", "Consider database clustering"]
    }
  ],
  "compliance": {
    "1M_users": "PASS",
    "10M_users": "CONCERN",
    "100M_users": "FAIL"
  },
  "priority_actions": ["Design database sharding strategy for future growth", "Implement read replicas for read-heavy workloads"],
  "summary": "Scalability is good up to 1M users, concerns for 10M+ users"
}

EXIT CONDITION

Subagent completes when JSON output written to temp file.