- 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) - Add netbird VPN configuration - Add status report Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
89 lines
2.0 KiB
Markdown
89 lines
2.0 KiB
Markdown
---
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name: 'step-04d-subagent-scalability'
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description: 'Subagent: Scalability NFR assessment'
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subagent: true
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outputFile: '/tmp/tea-nfr-scalability-{{timestamp}}.json'
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---
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# Subagent 4D: Scalability NFR Assessment
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## SUBAGENT CONTEXT
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This is an **isolated subagent** running in parallel with other NFR domain assessments.
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**Your task:** Assess SCALABILITY NFR domain only.
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---
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## SUBAGENT TASK
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### 1. Scalability Assessment Categories
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**A) Horizontal Scaling:**
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- Stateless architecture
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- Load balancer configuration
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- Container orchestration (K8s)
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- Auto-scaling policies
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**B) Vertical Scaling:**
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- Resource allocation
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- Database size limits
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- Memory management
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- CPU optimization
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**C) Data Scaling:**
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- Database partitioning/sharding
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- Read replicas
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- Caching layers
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- Data archival strategy
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**D) Traffic Handling:**
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- CDN for static assets
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- Rate limiting
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- Queue systems for async work
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- WebSocket scaling
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---
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## OUTPUT FORMAT
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```json
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{
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"domain": "scalability",
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"risk_level": "MEDIUM",
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"findings": [
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{
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"category": "Horizontal Scaling",
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"status": "PASS",
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"description": "Stateless architecture with container orchestration",
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"evidence": ["Docker + Kubernetes setup", "Auto-scaling configured"],
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"recommendations": []
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},
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{
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"category": "Data Scaling",
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"status": "CONCERN",
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"description": "No database sharding strategy for large data growth",
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"evidence": ["Single database instance", "No partitioning"],
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"recommendations": ["Plan database sharding strategy", "Implement read replicas", "Consider database clustering"]
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}
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],
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"compliance": {
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"1M_users": "PASS",
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"10M_users": "CONCERN",
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"100M_users": "FAIL"
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},
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"priority_actions": ["Design database sharding strategy for future growth", "Implement read replicas for read-heavy workloads"],
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"summary": "Scalability is good up to 1M users, concerns for 10M+ users"
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}
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```
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---
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## EXIT CONDITION
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Subagent completes when JSON output written to temp file.
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