# Prompt: Pianificazione v1.0.0 - Production Ready

> **Progetto:** mockupAWS - Backend Profiler & Cost Estimator  
> **Versione Target:** v1.0.0  
> **Obiettivo:** Production Ready Release  
> **Data Analisi:** 2026-04-07  
> **Stato Attuale:** v0.5.0 completata, codebase analizzata

---

## 📊 ANALISI CODEBASE ATTUALE

### Stato Corrente (v0.5.0)
- **Backend:** ~150+ file Python (senza node_modules)
- **Frontend:** ~100+ file TypeScript/React
- **Database:** 8 tabelle (scenarios, logs, metrics, pricing, reports, users, api_keys, report_schedules)
- **Tests:** 100+ test cases E2E (Playwright)
- **Documentazione:** README, Architecture, SECURITY, CHANGELOG

### Architettura Esistente
```
✅ Frontend: React 18 + Vite + TypeScript + Tailwind
✅ Backend: FastAPI + SQLAlchemy 2.0 + PostgreSQL
✅ Auth: JWT (HS256) + bcrypt (cost=12) + API Keys
✅ Reports: PDF/CSV generation (ReportLab, Pandas)
✅ Charts: Recharts integration
✅ Testing: Playwright E2E
✅ DevOps: Docker Compose
```

### Cosa Manca per Produzione
❌ Redis caching layer
❌ Backup/restore automatizzato
❌ Monitoring e alerting
❌ Multi-tenant completo (isolation tra tenant)
❌ Production deployment guide
❌ Performance optimization
❌ Security audit completa
❌ SLA monitoring

---

## 🎯 OBIETTIVI v1.0.0 - PRODUCTION READY

### Definition of Done
Un sistema è "Production Ready" quando:
1. **Performance:** <200ms response time (p95), supporta 1000+ utenti concorrenti
2. **Reliability:** 99.9% uptime, backup automatici, disaster recovery
3. **Security:** Audit completo, pen test, vulnerabilità 0 critiche
4. **Observability:** Monitoring, alerting, logging centralizzato
5. **Scalability:** Horizontal scaling ready, caching layer
6. **Documentation:** Deployment guide, runbooks, SLA

---

## 👥 ASSEGNAZIONE TASK TEAM

### @spec-architect - Architecture & Planning (Lead) - 3 task

#### SPEC-001: Production Architecture Design
**Priorità: P0 - DA COMPLETARE PRIMA**

Analizzare e progettare:
- [ ] **Scalability Architecture:**
  - Load balancer (Nginx/Traefik) configuration
  - Horizontal scaling strategy (multiple backend instances)
  - Database read replicas
  - Connection pooling optimization
  
- [ ] **High Availability Design:**
  - Multi-region deployment strategy
  - Failover mechanisms
  - Circuit breaker patterns
  - Graceful degradation

- [ ] **Data Architecture:**
  - Database partitioning strategy (per tenant? per data?)
  - Archive strategy per dati vecchi (>1 anno)
  - CDN per assets statici

**Output:**
- `export/architecture-v1.0.0.md` - Architecture document completo
- Diagrammi architettura (PNG/SVG)
- Capacity planning (utenti, storage, banda)

#### SPEC-002: Security Audit Plan
- [ ] **Security Checklist Completa:**
  - OWASP Top 10 review
  - Dependency vulnerability scan (safety, npm audit)
  - Secrets management audit
  - API security review (rate limiting, auth)
  - Data encryption (at rest, in transit)
  - Network security (firewall, VPC)
  
- [ ] **Penetration Testing Plan:**
  - Scope definition
  - Test cases (SQL injection, XSS, CSRF, auth bypass)
  - Tools: Burp Suite, OWASP ZAP
  
- [ ] **Compliance Review:**
  - GDPR compliance (data retention, right to be forgotten)
  - SOC 2 readiness assessment

**Output:**
- `docs/SECURITY-AUDIT-v1.0.0.md`
- Vulnerability report
- Remediation plan

#### SPEC-003: Technical Debt Assessment
- [ ] **Code Quality Analysis:**
  - Backend: radon (complexity), pylint, mypy strict
  - Frontend: ESLint rules, TypeScript strict mode
  - Test coverage: target >80%
  
- [ ] **Refactoring Plan:**
  - Identificare codice duplicato
  - Ottimizzare query N+1
  - Migliorare error handling
  
- [ ] **Documentation Debt:**
  - API docs completeness
  - Architecture decision records (ADR)
  - Runbooks

**Output:**
- `docs/TECH-DEBT-v1.0.0.md`
- Refactoring priority list

---

### @db-engineer - Database & Storage - 3 task

#### DB-001: Database Optimization
- [ ] **Indexing Strategy:**
  - Analisi query lente (pg_stat_statements)
  - Aggiungere indici mancanti
  - Composite indexes per query frequenti
  - Partial indexes per filtri comuni
  
- [ ] **Query Optimization:**
  - Ottimizzare query N+1 (eager loading)
  - Materialized views per report pesanti
  - Query refactoring
  
- [ ] **Connection Pooling:**
  - Configurare PgBouncer
  - Ottimizzare pool size (base su concorrenza)
  - Test carico

**Output:**
- Migration per nuovi indici
- Performance benchmark (prima/dopo)
- PgBouncer configuration

#### DB-002: Backup & Restore System
- [ ] **Automated Backups:**
  - Daily full backup (pg_dump)
  - Continuous WAL archiving (Point-in-Time Recovery)
  - Backup retention policy (30 giorni)
  - Backup encryption (AES-256)
  
- [ ] **Backup Storage:**
  - S3/GCS integration
  - Multi-region backup replication
  - Backup integrity verification
  
- [ ] **Disaster Recovery:**
  - Recovery Time Objective (RTO): <1 ora
  - Recovery Point Objective (RPO): <5 minuti
  - DR runbook e procedure
  - Test restore mensile

**Output:**
- `scripts/backup.sh` - Backup automation
- `scripts/restore.sh` - Restore procedure
- `docs/BACKUP-RESTORE.md` - Runbook completo
- Cron configuration

#### DB-003: Data Archiving Strategy
- [ ] **Archive Policy:**
  - Scenario logs > 1 anno → archive
  - Scenario metrics > 2 anni → aggregate → archive
  - Reports > 6 mesi → compress → S3
  
- [ ] **Archive Implementation:**
  - Archive table: `scenario_logs_archive`
  - Partitioning by date (monthly)
  - Archive job (nightly cron)
  - Query transparency (UNION con archive)

**Output:**
- Migration per tabelle archive
- Archive job implementation
- Space saved estimation

---

### @backend-dev - Performance & API - 5 task

#### BE-PERF-004: Redis Caching Layer
- [ ] **Redis Setup:**
  - Docker Compose service
  - Redis configuration (persistence, maxmemory)
  - Connection pooling (redis-py)
  
- [ ] **Caching Strategy:**
  - Cache livello 1: DB query results (scenario list, metrics)
  - Cache livello 2: Report generation (cache PDF per 1 ora)
  - Cache livello 3: AWS pricing (cache 24 ore)
  - Cache invalidation strategy
  
- [ ] **Caching Implementation:**
  - Decorator `@cached(ttl=300)` per funzioni
  - Cache key generation (hash params)
  - Cache warming per dati frequenti

**Output:**
- `src/core/cache.py` - Cache service
- Redis configuration
- Performance benchmark (hit/miss ratio)

#### BE-PERF-005: Async Optimization
- [ ] **Database Async:**
  - Verificare tutte le query siano async
  - Connection pool optimization
  - Query parallelization dove possibile
  
- [ ] **Background Jobs:**
  - Celery integration per task pesanti
  - Report generation async
  - Email sending async
  - Queue monitoring (Flower)

**Output:**
- Celery configuration
- Background tasks implementation
- Queue monitoring setup

#### BE-API-006: API Versioning & Documentation
- [ ] **API Versioning:**
  - Prefix: `/api/v2/` (mantenere v1 per retrocompatibilità)
  - Deprecation headers
  - Version negotiation
  
- [ ] **OpenAPI Completeness:**
  - Tutti gli endpoint documentati
  - Schemas complete con examples
  - Error responses documentate
  - Authentication flows documentati
  
- [ ] **API Rate Limiting Avanzato:**
  - Tiered limits (free/premium/enterprise)
  - Per-user, per-API-key limits
  - Burst allowance

**Output:**
- API v2 implementation
- OpenAPI spec completa
- Rate limiting configuration

#### BE-MON-007: Monitoring & Observability
- [ ] **Application Monitoring:**
  - Prometheus metrics integration
  - Custom metrics (request duration, error rate, business metrics)
  - Health check endpoints approfonditi
  
- [ ] **Logging:**
  - Structured logging (JSON)
  - Log levels appropriati
  - Correlation IDs per request
  - Centralized logging (ELK/Loki)
  
- [ ] **Tracing:**
  - Distributed tracing (OpenTelemetry/Jaeger)
  - Trace database queries
  - Trace external API calls

**Output:**
- Prometheus metrics endpoint
- Logging configuration
- Tracing setup
- Grafana dashboards (base)

#### BE-SEC-008: Security Hardening
- [ ] **Security Headers:**
  - HSTS, CSP, X-Frame-Options, etc.
  - CORS strict configuration
  
- [ ] **Input Validation:**
  - Strict validation su tutti gli input
  - SQL injection prevention (già fatto con SQLAlchemy)
  - XSS prevention
  
- [ ] **Secrets Management:**
  - Vault integration (HashiCorp Vault/AWS Secrets Manager)
  - Secret rotation automatica
  
- [ ] **Audit Logging:**
  - Log tutte le operazioni sensibili (login, API key create, delete)
  - Immutable audit log
  - Audit log retention (1 anno)

**Output:**
- Security middleware
- Audit logging implementation
- Secrets management integration

---

### @frontend-dev - Performance & UX - 4 task

#### FE-PERF-009: Frontend Optimization
- [ ] **Bundle Optimization:**
  - Code splitting (lazy loading routes)
  - Tree shaking optimization
  - Vendor chunk separation
  - Target: <200KB main bundle
  
- [ ] **Rendering Performance:**
  - React.memo per componenti pesanti
  - useMemo/useCallback optimization
  - Virtual scrolling per lista scenari (react-window)
  - Lazy loading charts (import dinamico)
  
- [ ] **Caching:**
  - Service Worker per offline capability
  - Cache API per dati frequenti
  - Stale-while-revalidate strategy

**Output:**
- Optimized bundle
- Lighthouse score >90
- Performance audit report

#### FE-UX-010: Advanced UX Features
- [ ] **Onboarding Tutorial:**
  - First-time user tour (react-joyride)
  - Feature highlights
  - Interactive guides
  
- [ ] **Keyboard Shortcuts:**
  - Ctrl/Cmd+K: Command palette
  - N: New scenario
  - C: Compare
  - R: Reports
  - Esc: Close modal
  
- [ ] **Bulk Operations:**
  - Multi-select scenari
  - Bulk delete
  - Bulk export
  
- [ ] **Drag & Drop:**
  - Reorder scenari in dashboard
  - Drag files per import

**Output:**
- Onboarding component
- Keyboard shortcuts implementation
- Bulk operations UI

#### FE-ANALYTICS-011: Usage Analytics Dashboard
- [ ] **Analytics Collection:**
  - Track page views, feature usage
  - Track performance metrics (load time, TTI)
  - Privacy-compliant (no PII)
  
- [ ] **Analytics Dashboard:**
  - Monthly active users (MAU)
  - Feature adoption rates
  - Performance metrics over time
  - Error tracking dashboard
  
- [ ] **Cost Predictions:**
  - Trend analysis
  - Cost forecasting (ML-based semplice)
  - Anomaly detection in costs

**Output:**
- Analytics tracking
- Analytics dashboard page
- Cost prediction component

#### FE-A11Y-012: Accessibility & i18n
- [ ] **Accessibility:**
  - WCAG 2.1 AA compliance
  - Screen reader testing
  - Keyboard navigation
  - Focus management
  - Color contrast verification
  
- [ ] **Internationalization (i18n):**
  - i18next integration
  - Lingue: English, Italian (base)
  - RTL support (futuro)
  - Date/number formatting locale-aware

**Output:**
- A11y audit report
- i18n setup
- Translation files

---

### @devops-engineer - Production Deployment - 4 task

#### DEV-DEPLOY-013: Production Deployment Guide
- [ ] **Deployment Options:**
  - Docker Compose (single server)
  - Kubernetes (k8s) manifests
  - AWS ECS/Fargate
  - AWS Elastic Beanstalk
  - Heroku (per demo)
  
- [ ] **Infrastructure as Code:**
  - Terraform per AWS resources
  - Ansible per server configuration
  - Environment-specific configs
  
- [ ] **CI/CD Pipeline:**
  - GitHub Actions workflow
  - Automated testing
  - Automated deployment (staging → production)
  - Blue-green deployment strategy
  - Rollback procedures

**Output:**
- `docs/DEPLOYMENT-GUIDE.md` - Complete guide
- Terraform configurations
- GitHub Actions workflows
- Deployment scripts

#### DEV-INFRA-014: Cloud Infrastructure
- [ ] **AWS Setup:**
  - VPC, Subnets, Security Groups
  - RDS PostgreSQL (Multi-AZ)
  - ElastiCache Redis
  - S3 per backups e assets
  - CloudFront CDN
  - Route53 DNS
  - Application Load Balancer
  - Auto Scaling Group
  
- [ ] **Security:**
  - AWS WAF (Web Application Firewall)
  - AWS Shield (DDoS protection)
  - Secrets Manager
  - KMS per encryption

**Output:**
- Terraform modules
- AWS architecture diagram
- Cost estimation

#### DEV-MON-015: Production Monitoring
- [ ] **Monitoring Stack:**
  - Prometheus + Grafana (o AWS CloudWatch)
  - Uptime monitoring (Pingdom/UptimeRobot)
  - Error tracking (Sentry)
  - Log aggregation (ELK o AWS OpenSearch)
  
- [ ] **Alerting:**
  - PagerDuty/Opsgenie integration
  - Alert rules:
    - Error rate >1%
    - Response time >500ms (p95)
    - 5xx errors >10/min
    - Disk usage >80%
    - Memory usage >85%
  - On-call rotation

**Output:**
- Monitoring configuration
- Grafana dashboards
- Alert rules
- Runbooks

#### DEV-SLA-016: SLA & Support Setup
- [ ] **SLA Definition:**
  - Uptime: 99.9% (massimo 43 minuti down/mese)
  - Response time: <200ms (p50), <500ms (p95)
  - Support response: <4 ore (business hours)
  
- [ ] **Support Infrastructure:**
  - Help desk (Zendesk/Intercom)
  - Status page (Statuspage.io)
  - Documentation pubblica
  - FAQ/Knowledge base
  
- [ ] **Incident Management:**
  - Incident response procedure
  - Post-mortem template
  - Communication templates

**Output:**
- SLA document
- Support process documentation
- Status page setup
- Incident response runbook

---

### @qa-engineer - Testing & Quality - 3 task

#### QA-PERF-017: Performance Testing
- [ ] **Load Testing:**
  - k6/Locust scripts
  - Scenarios: 100, 500, 1000 utenti concorrenti
  - Test endpoints critici
  - Database load testing
  
- [ ] **Stress Testing:**
  - Find breaking point
  - Test recovery
  - Test degradation
  
- [ ] **Benchmarks:**
  - Response time baselines
  - Throughput baselines
  - Memory/CPU usage baselines

**Output:**
- Performance test suite
- Benchmark results
- Performance report

#### QA-E2E-018: E2E Test Completeness
- [ ] **Test Coverage:**
  - Target: >80% feature coverage
  - Critical paths: 100% coverage
  - Cross-browser testing (Chrome, Firefox, Safari)
  - Mobile testing (iOS, Android)
  
- [ ] **Test Stability:**
  - Fix flaky tests
  - Parallel test execution
  - Test data management
  
- [ ] **Visual Regression:**
  - Percy/Chromatic integration
  - Component-level testing

**Output:**
- E2E test suite completo
- Cross-browser test results
- Visual regression baseline

#### QA-SEC-019: Security Testing
- [ ] **Automated Security Tests:**
  - Dependency scanning (Snyk)
  - SAST (SonarQube)
  - Container scanning (Trivy)
  - Secret scanning (GitLeaks)
  
- [ ] **Penetration Testing:**
  - OWASP ZAP automated scan
  - Manual penetration testing
  - API security testing

**Output:**
- Security test suite
- Vulnerability report
- Security sign-off

---

## 📅 TIMELINE v1.0.0 (6-8 settimane)

### Week 1: Planning & Architecture
- **@spec-architect:** SPEC-001, SPEC-002 (Architecture + Security audit plan)
- **@db-engineer:** DB-001 (Database optimization)
- **Team:** Kickoff meeting, scope finalization

### Week 2-3: Core Performance & Backend
- **@backend-dev:** BE-PERF-004 (Redis), BE-PERF-005 (Async)
- **@db-engineer:** DB-002 (Backup), DB-003 (Archive)
- **@frontend-dev:** FE-PERF-009 (Frontend optimization)

### Week 4: Security & Monitoring
- **@backend-dev:** BE-SEC-008 (Security), BE-MON-007 (Monitoring)
- **@spec-architect:** SPEC-003 (Tech debt)
- **@qa-engineer:** QA-SEC-019 (Security testing)

### Week 5: UX & Frontend Polish
- **@frontend-dev:** FE-UX-010 (UX features), FE-ANALYTICS-011 (Analytics)
- **@frontend-dev:** FE-A11Y-012 (A11y + i18n)

### Week 6: Deployment & Infrastructure
- **@devops-engineer:** DEV-DEPLOY-013 (Deployment guide), DEV-INFRA-014 (AWS)
- **@devops-engineer:** DEV-MON-015 (Monitoring)

### Week 7: Testing & QA
- **@qa-engineer:** QA-PERF-017 (Performance testing), QA-E2E-018 (E2E completeness)
- **Team:** Bug fixing

### Week 8: Documentation & Launch Prep
- **@devops-engineer:** DEV-SLA-016 (SLA & Support)
- **@spec-architect:** Final review, sign-offs
- **Team:** Documentation finalization
- **Launch:** Release v1.0.0! 🎉

---

## ✅ CHECKLIST PRE-LAUNCH v1.0.0

### Performance
- [ ] Load testing: 1000 utenti concorrenti OK
- [ ] Response time <200ms (p95)
- [ ] Lighthouse score >90
- [ ] Redis cache hit ratio >80%

### Reliability
- [ ] Automated backups tested
- [ ] DR tested (RTO <1 ora)
- [ ] Zero data loss verified
- [ ] 99.9% uptime in staging (1 settimana)

### Security
- [ ] Security audit passed
- [ ] Penetration test: 0 critiche
- [ ] Dependencies: 0 vulnerabilità critiche
- [ ] Audit logging attivo

### Observability
- [ ] Monitoring: tutte le metriche visibili
- [ ] Alerting: test alert ricevuti
- [ ] Logging: searchable e correlato
- [ ] Runbooks: testati e validi

### Documentation
- [ ] Deployment guide: testato da terzi
- [ ] API docs: complete e accurate
- [ ] Runbooks: chiari e completi
- [ ] SLA: definito e comunicato

### Legal/Compliance
- [ ] Privacy policy
- [ ] Terms of service
- [ ] GDPR compliance verificato
- [ ] Cookie consent

---

## 🎯 SUCCESS CRITERIA v1.0.0

Il progetto è v1.0.0 quando:
1. ✅ Tutti i task completati
2. ✅ Tutti i test passano (>80% coverage)
3. ✅ Performance benchmarks raggiunti
4. ✅ Security audit passed
5. ✅ Deployment guide testato
6. ✅ Documentazione completa
7. ✅ Monitoring e alerting funzionanti
8. ✅ SLA definito

---

## 🚀 COMANDO DI AVVIO

Per ogni membro del team:

```bash
# @spec-architect
cd /home/google/Sources/LucaSacchiNet/mockupAWS
# Inizia analisi architettura esistente
# Crea architecture-v1.0.0.md

# @db-engineer
cd /home/google/Sources/LucaSacchiNet/mockupAWS
# Analizza query performance (pg_stat_statements)
# Inizia ottimizzazione indici

# @backend-dev
cd /home/google/Sources/LucaSacchiNet/mockupAWS
# Aggiungi Redis a docker-compose
# Inizia implementazione cache layer

# @frontend-dev
cd /home/google/Sources/LucaSacchiNet/mockupAWS/frontend
# Analizza bundle size (npm run build --analyze)
# Inizia code splitting

# @devops-engineer
cd /home/google/Sources/LucaSacchiNet/mockupAWS
# Crea Terraform directory structure
# Inizia deployment guide

# @qa-engineer
cd /home/google/Sources/LucaSacchiNet/mockupAWS/frontend
# Setup k6/Locust
# Inizia performance test planning
```

---

**Team, la v1.0.0 è la nostra major release! Portiamo mockupAWS in produzione con performance, sicurezza e affidabilità enterprise-grade! 🚀🔐📊**

*Prompt v1.0.0 planning generato il 2026-04-07*  
*Stato codebase: v0.5.0 completa, analizzata e pronta per evoluzione*