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9.8 KiB
Markdown
375 lines
No EOL
9.8 KiB
Markdown
---
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id: "readme-arch"
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title: "🏗️ ARCHITECTURE CIBLE - VEZA PLATFORM"
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sidebar_label: "🏗️ ARCHITECTURE CIBLE - VEZA PLATFORM"
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---
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> NOTE: Cette page décrit la CIBLE (but visé).
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# 🏗️ ARCHITECTURE CIBLE - VEZA PLATFORM
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## 🎯 VISION STRATÉGIQUE
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Veza vise à devenir la **plateforme audio/sociale de référence** pour les music-makers, combinant les meilleures fonctionnalités de Discord, SoundCloud, et Spotify dans une expérience unifiée.
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## 🏛️ ARCHITECTURE CIBLE
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### 1. **Microservices Domain-Driven**
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L'architecture cible s'organise autour de **5 domaines métier** principaux :
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#### 🎵 **Audio Domain**
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- **Track Service** : Gestion des pistes audio/vidéo
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- **Stream Service** : Streaming haute performance (HLS/DASH)
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- **Transcode Service** : Transcodage automatique multi-format
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#### 👥 **User Domain**
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- **User Service** : Gestion des profils utilisateurs
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- **Auth Service** : Authentification/OAuth2/RBAC
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- **Profile Service** : Profils publics et privés
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#### 💬 **Social Domain**
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- **Chat Service** : Messagerie temps-réel (WebSocket)
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- **Message Service** : Stockage et récupération des messages
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- **Notification Service** : Notifications push/email/SMS
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#### 🛒 **Commerce Domain**
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- **Marketplace Service** : Gestion des produits/ressources
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- **Payment Service** : Intégration Stripe/PayPal
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- **Order Service** : Commandes et escrow
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#### 📊 **Analytics Domain**
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- **Analytics Service** : Métriques et insights
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- **Recommendation Service** : IA/ML pour recommandations
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- **Search Service** : Recherche avancée (Elasticsearch)
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### 2. **Event-Driven Architecture**
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#### Event Bus (Kafka/RabbitMQ)
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```mermaid
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graph LR
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A[User Service] --> E[Event Bus]
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B[Track Service] --> E
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C[Chat Service] --> E
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D[Marketplace Service] --> E
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E --> F[Event Store]
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E --> G[Saga Orchestrator]
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```
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#### Event Store
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- **Audit Trail** : Tous les événements métier stockés
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- **Replay Capability** : Reconstruction d'état à tout moment
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- **Temporal Queries** : Requêtes temporelles sur l'historique
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#### Saga Pattern
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- **Distributed Transactions** : Cohérence entre services
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- **Compensation** : Rollback automatique en cas d'échec
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- **Monitoring** : Suivi des transactions distribuées
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### 3. **Data Layer Strategy**
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#### Primary Databases (Write Models)
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```
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┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
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│ User DB │ │ Audio DB │ │ Social DB │ │ Commerce DB │
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│ (PostgreSQL) │ │ (PostgreSQL) │ │ (PostgreSQL) │ │ (PostgreSQL) │
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└─────────────────┘ └─────────────────┘ └─────────────────┘ └─────────────────┘
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```
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#### Read Models (CQRS)
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```
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┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
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│ Search Index │ │ Cache Layer │ │ Analytics DB │
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│ (Elasticsearch) │ │ (Redis Cluster) │ │ (ClickHouse) │
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└─────────────────┘ └─────────────────┘ └─────────────────┘
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```
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#### File Storage
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- **Object Storage** : S3-compatible (MinIO/AWS S3)
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- **CDN** : CloudFront/Fastly pour distribution globale
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- **Backup Strategy** : RTO < 4h, RPO < 1h
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### 4. **Infrastructure Layer**
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#### Container Orchestration
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```yaml
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# Kubernetes + Istio Service Mesh
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: user-service
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spec:
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replicas: 3
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selector:
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matchLabels:
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app: user-service
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template:
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metadata:
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labels:
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app: user-service
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spec:
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containers:
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- name: user-service
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image: veza/user-service:latest
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ports:
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- containerPort: 8080
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env:
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- name: DATABASE_URL
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valueFrom:
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secretKeyRef:
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name: db-secret
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key: url
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```
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#### Monitoring Stack
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- **Metrics** : Prometheus + Grafana
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- **Tracing** : Jaeger (distributed tracing)
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- **Logging** : ELK Stack (Elasticsearch, Logstash, Kibana)
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- **Alerting** : AlertManager + PagerDuty
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#### Security Layer
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- **WAF** : ModSecurity/Cloudflare
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- **Secrets** : HashiCorp Vault
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- **Certificates** : Let's Encrypt + Cert Manager
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- **Network** : Istio mTLS + Network Policies
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## 🔄 STRATÉGIE DE MIGRATION
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### Phase 1 : Stabilisation (Mois 1-2)
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#### 1.1 Tests & Qualité
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```bash
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# Objectif : 90% de couverture de tests
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go test -cover ./...
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cargo test --all-features
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npm run test:coverage
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```
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#### 1.2 Monitoring & Observabilité
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```yaml
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# Prometheus Configuration
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global:
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scrape_interval: 15s
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evaluation_interval: 15s
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scrape_configs:
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- job_name: 'veza-api'
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static_configs:
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- targets: ['localhost:8080']
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metrics_path: '/metrics'
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```
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#### 1.3 Sécurité
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- Audit de sécurité complet
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- Chiffrement at rest (AES-256)
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- Rotation automatique des clés JWT
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- WAF configuration
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### Phase 2 : Modernisation (Mois 3-4)
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#### 2.1 Clean Architecture
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```
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src/
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├── domain/ # Entités et règles métier
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├── application/ # Cas d'usage et services
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├── infrastructure/ # Base de données, APIs externes
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└── interfaces/ # Controllers, présentateurs
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```
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#### 2.2 CQRS Implementation
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```go
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// Command
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type CreateTrackCommand struct {
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Title string
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Description string
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UserID int64
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FileURL string
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}
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// Query
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type GetTracksQuery struct {
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UserID *int64
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Genre *string
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Limit int
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Offset int
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}
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```
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#### 2.3 Event Sourcing
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```go
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// Event
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type TrackCreatedEvent struct {
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TrackID int64
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Title string
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UserID int64
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CreatedAt time.Time
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}
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// Event Store
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type EventStore interface {
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Append(streamID string, events []Event) error
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Read(streamID string, fromVersion int) ([]Event, error)
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}
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```
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### Phase 3 : Microservices (Mois 5-6)
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#### 3.1 Service Decomposition
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```yaml
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# Docker Compose pour développement
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version: '3.8'
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services:
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user-service:
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build: ./services/user
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ports:
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- "8081:8080"
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environment:
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- DATABASE_URL=postgres://user:pass@user-db:5432/veza_user
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track-service:
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build: ./services/track
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ports:
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- "8082:8080"
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environment:
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- DATABASE_URL=postgres://user:pass@track-db:5432/veza_track
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```
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#### 3.2 API Gateway
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```yaml
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# Kong Configuration
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services:
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- name: user-service
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url: http://user-service:8080
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routes:
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- name: user-routes
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paths:
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- /api/v1/users
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methods:
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- GET
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- POST
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- PUT
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- DELETE
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```
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#### 3.3 Service Mesh
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```yaml
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# Istio Virtual Service
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apiVersion: networking.istio.io/v1alpha3
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kind: VirtualService
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metadata:
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name: user-service
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spec:
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hosts:
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- user-service
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http:
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- route:
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- destination:
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host: user-service
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subset: v1
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weight: 80
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- destination:
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host: user-service
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subset: v2
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weight: 20
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```
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## 📊 MÉTRIQUES DE PERFORMANCE
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### Latence Cible
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- **API Gateway** : < 5ms
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- **Service-to-Service** : < 10ms
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- **Database Queries** : < 5ms
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- **Cache Hits** : < 1ms
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### Throughput Cible
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- **API Requests** : 10,000 req/s
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- **WebSocket Messages** : 100,000 msg/s
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- **Streaming Audio** : 1,000 concurrent streams
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- **Database Connections** : 1,000 concurrent
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### Scalabilité Cible
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- **Horizontal Scaling** : Auto-scaling basé sur CPU/mémoire
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- **Geographic Distribution** : Multi-region deployment
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- **Load Balancing** : Round-robin + health checks
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- **Circuit Breaker** : Resilience patterns
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## 🔧 TECHNOLOGIES CIBLES
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### Backend Services
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- **Go 1.23+** : Services API (performance, simplicité)
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- **Rust 1.75+** : Services critiques (sécurité, performance)
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- **Node.js 20+** : Services légers (rapidité de développement)
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### Data Stores
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- **PostgreSQL 15+** : Base de données principale
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- **Redis 7+** : Cache et sessions
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- **Elasticsearch 8+** : Recherche et analytics
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- **ClickHouse** : Analytics temps réel
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### Infrastructure
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- **Kubernetes 1.28+** : Orchestration
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- **Istio 1.18+** : Service mesh
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- **Prometheus + Grafana** : Monitoring
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- **Jaeger** : Distributed tracing
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### External Services
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- **Stripe** : Paiements
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- **AWS S3/CloudFront** : Storage et CDN
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- **SendGrid** : Emails
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- **Twilio** : SMS
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## 🚀 ROADMAP DÉTAILLÉE
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### Sprint 1-2 : Foundation
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- [ ] Setup CI/CD pipeline
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- [ ] Tests unitaires (90% coverage)
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- [ ] Monitoring basique
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- [ ] Documentation API
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### Sprint 3-4 : Clean Architecture
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- [ ] Refactor vers Clean Architecture
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- [ ] Implémenter CQRS
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- [ ] Event Sourcing basique
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- [ ] Injection de dépendances
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### Sprint 5-6 : Microservices
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- [ ] Découpage en services
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- [ ] API Gateway
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- [ ] Service mesh
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- [ ] Distributed tracing
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### Sprint 7-8 : Performance
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- [ ] Cache distribué
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- [ ] Load balancing
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- [ ] Database optimization
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- [ ] CDN setup
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### Sprint 9-10 : Advanced Features
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- [ ] Streaming haute performance
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- [ ] Marketplace complet
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- [ ] IA/ML recommendations
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- [ ] Mobile app
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## 📈 SUCCÈS CRITÈRES
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### Technique
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- ✅ Couverture de tests > 90%
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- ✅ Latence API < 20ms
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- ✅ Uptime > 99.9%
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- ✅ Zero vulnérabilités critiques
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### Business
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- ✅ 10,000 utilisateurs concurrents
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- ✅ 1,000 streams audio simultanés
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- ✅ 100,000 messages chat/minute
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- ✅ 99.9% disponibilité
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### DevOps
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- ✅ Déploiement automatique
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- ✅ Rollback en < 5 minutes
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- ✅ Monitoring temps réel
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- ✅ Alerting automatisé
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---
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*Architecture conçue par le Lead Backend Engineer & Refactor Bot*
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*Prochaine étape : Création des issues GitHub et début de l'implémentation* |