Files
bi-agents/.claude/skills/bmad-testarch-nfr/steps-c/step-04d-subagent-scalability.md
Cassel 647cbec54f docs: update all documentation and add AI tooling configs
- Rewrite README.md with current architecture, features and stack
- Update docs/API.md with all current endpoints (corporate, BI, client 360)
- Update docs/ARCHITECTURE.md with cache, modular queries, services, ETL
- Update docs/GUIA-USUARIO.md for all roles (admin, corporate, agente)
- Add docs/INDEX.md documentation index
- Add PROJETO.md comprehensive project reference
- Add BI-CCC-Implementation-Guide.md
- Include AI agent configs (.claude, .agents, .gemini, _bmad)
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- Add status report

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-19 13:29:03 -04:00

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---
name: 'step-04d-subagent-scalability'
description: 'Subagent: Scalability NFR assessment'
subagent: true
outputFile: '/tmp/tea-nfr-scalability-{{timestamp}}.json'
---
# Subagent 4D: Scalability NFR Assessment
## SUBAGENT CONTEXT
This is an **isolated subagent** running in parallel with other NFR domain assessments.
**Your task:** Assess SCALABILITY NFR domain only.
---
## SUBAGENT TASK
### 1. Scalability Assessment 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
```json
{
"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.