# ORIGIN_PERFORMANCE_TARGETS.md ## 📋 RÉSUMÉ EXÉCUTIF Ce document dĂ©finit les objectifs de performance mesurables et rĂ©alistes pour tous les composants de la plateforme Veza. Il spĂ©cifie targets prĂ©cis pour latence API (p95 < 100ms, p99 < 200ms), database (p95 < 10ms), frontend (Lighthouse Performance ≄ 90, Accessibility ≄ 95), audio streaming (start < 500ms, rebuffering < 0.5%), avec monitoring (Prometheus), plan de mesure (Lighthouse CI, k6, pg_stat_statements), et optimization strategies garantissant expĂ©rience utilisateur fluide et scalabilitĂ© production. ## 🎯 OBJECTIFS ### Objectif Principal Garantir performance optimale avec latence API < 100ms (p95), temps chargement < 2s, zero buffering audio/vidĂ©o, et scalabilitĂ© jusqu'Ă  100K utilisateurs concurrents avec dĂ©gradation gracieuse. ### Objectifs Secondaires - Optimiser ressources (CPU < 70%, RAM < 80%) - RĂ©duire coĂ»ts infrastructure (efficient resource utilization) - DĂ©tecter rĂ©gressions performance automatiquement (CI/CD) - Fournir expĂ©rience utilisateur fluide (no jank, 60 FPS) ## 📖 TABLE DES MATIÈRES 1. [Performance Philosophy](#1-performance-philosophy) 2. [Backend Performance Targets](#2-backend-performance-targets) 3. [Frontend Performance Targets](#3-frontend-performance-targets) 4. [Database Performance Targets](#4-database-performance-targets) 5. [Network Performance Targets](#5-network-performance-targets) 6. [Audio Streaming Performance](#6-audio-streaming-performance) 7. [Monitoring & Alerting](#7-monitoring--alerting) 8. [Performance Testing](#8-performance-testing) 9. [Optimization Strategies](#9-optimization-strategies) 10. [Performance Budgets](#10-performance-budgets) ## 🔒 RÈGLES IMMUABLES 1. **API Latency**: p95 < 100ms, p99 < 200ms - CI/CD bloque si dĂ©passĂ© 2. **Database Queries**: p95 < 10ms - N+1 queries interdites 3. **Frontend Load**: First Contentful Paint < 1.5s, Time to Interactive < 3.5s 4. **Bundle Size**: Initial JS bundle < 200KB gzipped 5. **Memory Leaks**: Zero memory leaks tolĂ©rĂ©s (CI/CD checks) 6. **Audio Streaming**: Rebuffering < 0.5%, stream start < 500ms 7. **Throughput**: Min 10K req/s sustained (backend) 8. **Resource Usage**: CPU < 70%, Memory < 80% (average) 9. **Cache Hit Rate**: > 90% for frequently accessed data 10. **Mobile Performance**: Lighthouse Performance score ≄ 90 ## 1. PERFORMANCE PHILOSOPHY ### 1.1 Performance Principles **User-Centric Performance**: - **Perceived Performance > Actual Performance**: Users care about what they experience - **Critical Rendering Path**: Optimize what users see first - **Progressive Enhancement**: Core functionality works fast, enhancements load progressively **Performance Metrics Hierarchy**: ``` 1. Core Web Vitals (Google) - LCP (Largest Contentful Paint) < 2.5s - FID (First Input Delay) < 100ms - CLS (Cumulative Layout Shift) < 0.1 2. Custom Business Metrics - Time to First Track Play < 3s - Search Results < 500ms - Upload Progress Feedback < 100ms ``` ### 1.2 Performance SLOs (Service Level Objectives) | Metric | Target | Stretch Goal | |--------|--------|--------------| | **API Response Time (p95)** | < 100ms | < 50ms | | **API Response Time (p99)** | < 200ms | < 100ms | | **Database Query (p95)** | < 10ms | < 5ms | | **Frontend Load (FCP)** | < 1.5s | < 1s | | **Frontend Load (TTI)** | < 3.5s | < 2s | | **Audio Stream Start** | < 500ms | < 300ms | | **Search Results** | < 500ms | < 200ms | | **Uptime** | 99.9% | 99.99% | ## 2. BACKEND PERFORMANCE TARGETS ### 2.1 API Response Times **Endpoints Performance Targets**: | Endpoint Category | p50 | p95 | p99 | Examples | |-------------------|-----|-----|-----|----------| | **Simple Reads** | < 20ms | < 50ms | < 100ms | GET /users/{id}, GET /tracks/{id} | | **Complex Reads** | < 50ms | < 100ms | < 200ms | GET /tracks (with filters), GET /search | | **Writes** | < 50ms | < 150ms | < 300ms | POST /users, PUT /tracks/{id} | | **File Uploads** | < 2s | < 5s | < 10s | POST /tracks (upload) | | **Aggregations** | < 100ms | < 300ms | < 500ms | GET /analytics/dashboard | **Critical Endpoints** (Strict Targets): - `GET /tracks/{id}`: p95 < 30ms - `POST /tracks/{id}/play`: p95 < 20ms - `GET /search?q=`: p95 < 200ms - `POST /auth/login`: p95 < 100ms - `GET /feed`: p95 < 150ms ### 2.2 Throughput Targets | Endpoint | Target RPS | Peak RPS | Concurrent Users | |----------|------------|----------|------------------| | **GET /tracks** | 5,000 | 10,000 | 50,000 | | **POST /tracks/{id}/play** | 10,000 | 20,000 | 100,000 | | **GET /search** | 2,000 | 5,000 | 20,000 | | **POST /auth/login** | 500 | 1,000 | 5,000 | | **WebSocket connections** | 10,000 | 20,000 | 20,000 | ### 2.3 Resource Utilization **Per Service Limits**: ```yaml backend-api: cpu_usage: < 70% (average), < 90% (peak) memory_usage: < 80% (average), < 95% (peak) goroutines: < 10,000 database_connections: < 100 (per instance) chat-server: cpu_usage: < 60% memory_usage: < 70% websocket_connections: < 10,000 (per instance) message_throughput: > 50,000 msg/s stream-server: cpu_usage: < 80% (audio processing intensive) memory_usage: < 75% concurrent_streams: > 5,000 bandwidth: > 10 Gbps ``` ### 2.4 Error Rates | Error Type | Target | Alert Threshold | |------------|--------|-----------------| | **4xx Errors** | < 1% | > 2% | | **5xx Errors** | < 0.1% | > 0.5% | | **Timeouts** | < 0.01% | > 0.1% | | **Database Errors** | < 0.01% | > 0.05% | ## 3. FRONTEND PERFORMANCE TARGETS ### 3.1 Core Web Vitals **Lighthouse Scores** : - **Performance**: ≄ 90 - **Accessibility**: ≄ 95 - **Best Practices**: ≄ 90 - **SEO**: ≄ 90 **Detailed Metrics**: | Metric | Good | Needs Improvement | Poor | Target | |--------|------|-------------------|------|--------| | **LCP (Largest Contentful Paint)** | ≀ 2.5s | 2.5s - 4.0s | > 4.0s | **< 2s** | | **FID (First Input Delay)** | ≀ 100ms | 100ms - 300ms | > 300ms | **< 50ms** | | **CLS (Cumulative Layout Shift)** | ≀ 0.1 | 0.1 - 0.25 | > 0.25 | **< 0.05** | | **FCP (First Contentful Paint)** | ≀ 1.8s | 1.8s - 3.0s | > 3.0s | **< 1.5s** | | **TTI (Time to Interactive)** | ≀ 3.8s | 3.8s - 7.3s | > 7.3s | **< 3.5s** | | **TBT (Total Blocking Time)** | ≀ 200ms | 200ms - 600ms | > 600ms | **< 150ms** | | **Speed Index** | ≀ 3.4s | 3.4s - 5.8s | > 5.8s | **< 3s** | ### 3.2 Bundle Size **JavaScript Bundles**: ``` Initial Bundle (gzipped): ├── vendor.js (React, Router, etc.): < 150 KB ├── main.js (App code): < 50 KB └── TOTAL: < 200 KB Lazy-Loaded Bundles: ├── dashboard.js: < 30 KB ├── player.js: < 40 KB ├── upload.js: < 25 KB └── admin.js: < 50 KB CSS: ├── main.css (Tailwind): < 20 KB (purged) └── fonts: < 50 KB (subset) ``` **Image Optimization**: - **Hero Images**: < 100 KB (WebP) - **Thumbnails**: < 20 KB (WebP) - **Avatars**: < 10 KB (WebP) - **Icons**: Inline SVG or sprite sheet < 5 KB ### 3.3 Runtime Performance **Frame Rate**: - **Animations**: 60 FPS (16.67ms per frame) - **Scrolling**: Smooth (no jank) - **Interactions**: < 100ms response time **Memory Usage**: - **Initial Load**: < 50 MB - **Peak Usage**: < 150 MB - **Memory Leaks**: Zero (CI/CD checks) ### 3.4 Mobile Performance **Mobile-Specific Targets** (4G connection): - **FCP**: < 2.5s - **TTI**: < 5s - **Bundle Size**: < 150 KB initial - **Lighthouse Performance**: ≄ 90 ## 4. DATABASE PERFORMANCE TARGETS ### 4.1 Query Performance **Query Latency Targets**: | Query Type | p50 | p95 | p99 | Examples | |------------|-----|-----|-----|----------| | **Simple SELECT** | < 2ms | < 5ms | < 10ms | SELECT * FROM users WHERE id = ? | | **JOIN (2 tables)** | < 5ms | < 10ms | < 20ms | Users JOIN Tracks | | **JOIN (3+ tables)** | < 10ms | < 20ms | < 50ms | Complex queries | | **Aggregations** | < 10ms | < 30ms | < 100ms | COUNT, SUM, AVG | | **Full-Text Search** | < 20ms | < 50ms | < 100ms | GIN index searches | | **INSERT** | < 3ms | < 10ms | < 20ms | Single row insert | | **UPDATE** | < 5ms | < 15ms | < 30ms | Single row update | **Slow Query Threshold**: > 100ms (logged and investigated) ### 4.2 Connection Pool **PgBouncer Configuration**: ```ini [pgbouncer] pool_mode = transaction max_client_conn = 1000 default_pool_size = 25 min_pool_size = 10 reserve_pool_size = 5 max_db_connections = 100 # Performance query_timeout = 30 idle_transaction_timeout = 60 ``` **Metrics Targets**: - **Connection Utilization**: < 80% - **Wait Time**: < 10ms - **Connection Errors**: < 0.01% ### 4.3 Index Performance **Index Requirements**: - **Index Hit Rate**: > 99% - **Sequential Scans on Large Tables**: Zero (always use indexes) - **Index Size**: < 20% of table size **Monitoring Queries**: ```sql -- Index usage SELECT schemaname, tablename, indexname, idx_scan FROM pg_stat_user_indexes WHERE idx_scan < 100 ORDER BY idx_scan; -- Missing indexes (high seq scans) SELECT schemaname, tablename, seq_scan, seq_tup_read FROM pg_stat_user_tables WHERE seq_scan > 1000 ORDER BY seq_tup_read DESC; ``` ### 4.4 Cache Hit Ratio **PostgreSQL Cache**: - **Shared Buffers Hit Rate**: > 95% - **Index Hit Rate**: > 99% **Application Cache (Redis)**: - **Hit Rate**: > 90% - **Latency**: < 1ms (p95) - **Eviction Rate**: < 5% ## 5. NETWORK PERFORMANCE TARGETS ### 5.1 API Response Sizes **Payload Sizes**: ``` Endpoints: GET /users/{id}: < 2 KB GET /tracks: < 50 KB (20 items) GET /tracks/{id}: < 5 KB GET /search: < 100 KB (50 results) GET /feed: < 200 KB (100 items) Images (served via CDN): Thumbnail (200x200): < 20 KB (WebP) Cover (800x800): < 100 KB (WebP) Banner (1920x400): < 150 KB (WebP) ``` ### 5.2 CDN Performance **CDN Metrics**: - **Cache Hit Ratio**: > 95% - **Latency (p95)**: < 50ms - **Bandwidth**: > 10 Gbps - **Geographic Coverage**: < 100ms from any location **CDN Configuration**: ```nginx # Cache headers location /static/ { expires 1y; add_header Cache-Control "public, immutable"; } location /api/ { expires -1; add_header Cache-Control "no-cache, no-store, must-revalidate"; } ``` ### 5.3 Compression **Gzip/Brotli Compression**: - **Text (HTML, CSS, JS, JSON)**: Enabled (Brotli level 6) - **Images**: Pre-compressed (WebP, AVIF) - **Audio**: No compression (already compressed) **Compression Ratios**: - **JS/CSS**: 70-80% reduction - **JSON**: 60-70% reduction - **HTML**: 50-60% reduction ## 6. AUDIO STREAMING PERFORMANCE ### 6.1 Streaming Latency **Latency Targets**: - **Stream Start**: < 500ms (target: 300ms) - **Buffer Fill**: < 200ms - **Seek Time**: < 100ms - **Quality Switch**: < 50ms (adaptive bitrate) **Buffering**: - **Initial Buffer**: 2 seconds - **Rebuffering rate**: < 0.5% des sessions de lecture - **Rebuffering Events**: < 0.5% of plays ### 6.2 Audio Quality **Adaptive Bitrate Streaming**: ``` Network Speed → Bitrate: < 500 kbps: 64 kbps (low quality) 500 kbps - 1 Mbps: 128 kbps (medium quality) 1 Mbps - 5 Mbps: 256 kbps (high quality) > 5 Mbps: 320 kbps (premium quality) ``` **Format Support**: - **Lossy**: MP3 (320 kbps), AAC (256 kbps), Opus (128 kbps) - **Lossless**: FLAC (16-bit/44.1kHz) ### 6.3 Concurrent Streams **Capacity Targets**: - **Per Server**: 5,000 concurrent streams - **Total Capacity**: 100,000 concurrent streams (20 servers) - **Bandwidth**: 10 Gbps per server (avg 256 kbps/stream) ## 7. MONITORING & ALERTING ### 7.1 Prometheus Metrics **RED Metrics** (Rate, Errors, Duration): ```promql # Request Rate rate(http_requests_total[5m]) # Error Rate rate(http_requests_total{status=~"5.."}[5m]) / rate(http_requests_total[5m]) # Duration (Latency) histogram_quantile(0.95, rate(http_request_duration_seconds_bucket[5m])) ``` **USE Metrics** (Utilization, Saturation, Errors): ```promql # CPU Utilization 100 - (avg by (instance) (rate(node_cpu_seconds_total{mode="idle"}[5m])) * 100) # Memory Utilization (node_memory_MemTotal_bytes - node_memory_MemAvailable_bytes) / node_memory_MemTotal_bytes * 100 # Disk Saturation rate(node_disk_io_time_seconds_total[5m]) ``` ### 7.2 Alerting Rules **Critical Alerts** (PagerDuty): ```yaml groups: - name: critical_alerts interval: 30s rules: - alert: HighErrorRate expr: rate(http_requests_total{status=~"5.."}[5m]) / rate(http_requests_total[5m]) > 0.01 for: 2m labels: severity: critical annotations: summary: "High error rate detected ({{ $value }}%)" - alert: HighLatency expr: histogram_quantile(0.95, rate(http_request_duration_seconds_bucket[5m])) > 0.1 for: 5m labels: severity: critical annotations: summary: "API latency p95 > 100ms ({{ $value }}s)" - alert: DatabaseDown expr: up{job="postgres"} == 0 for: 1m labels: severity: critical annotations: summary: "PostgreSQL is down" ``` **Warning Alerts** (Slack): ```yaml - alert: ModerateCPUUsage expr: 100 - (avg by (instance) (rate(node_cpu_seconds_total{mode="idle"}[5m])) * 100) > 70 for: 10m labels: severity: warning annotations: summary: "CPU usage > 70% for 10 minutes" - alert: SlowQueries expr: rate(postgres_slow_queries_total[5m]) > 10 for: 5m labels: severity: warning annotations: summary: "High number of slow queries (> 10/min)" ``` ### 7.3 Grafana Dashboards **Dashboard 1: API Performance** - Request rate (RPS) - Latency (p50, p95, p99) - Error rate (4xx, 5xx) - Throughput (MB/s) - Active connections **Dashboard 2: Database Performance** - Query latency (p95, p99) - Connection pool usage - Cache hit ratio - Slow queries (> 100ms) - Replication lag **Dashboard 3: Frontend Performance** - Lighthouse scores (from CI/CD) - Core Web Vitals (LCP, FID, CLS) - Bundle sizes - Resource loading times - Error tracking (Sentry) ## 8. PERFORMANCE TESTING ### 8.1 Benchmarking **Go Benchmarks**: ```go func BenchmarkGetUserByID(b *testing.B) { repo := setupRepo() user := createTestUser(repo) b.ResetTimer() for i := 0; i < b.N; i++ { _, err := repo.GetByID(user.ID) if err != nil { b.Fatal(err) } } } // Target: < 100,000 ns/op (0.1ms) // BenchmarkGetUserByID-8 50000 25000 ns/op 1024 B/op 15 allocs/op ``` **Rust Benchmarks**: ```rust use criterion::{black_box, criterion_group, criterion_main, Criterion}; fn bench_get_user(c: &mut Criterion) { let repo = setup_repo(); let user_id = create_test_user(&repo); c.bench_function("get_user_by_id", |b| { b.iter(|| { repo.get_by_id(black_box(&user_id)) }); }); } // Target: < 100ÎŒs criterion_group!(benches, bench_get_user); criterion_main!(benches); ``` ### 8.2 Load Testing (k6) **Continuous Load Test**: ```javascript // k6-continuous.js import http from 'k6/http'; import { check } from 'k6'; export const options = { stages: [ { duration: '5m', target: 1000 }, { duration: '10m', target: 1000 }, { duration: '5m', target: 0 }, ], thresholds: { http_req_duration: ['p(95)<100', 'p(99)<200'], http_req_failed: ['rate<0.01'], }, }; export default function () { const res = http.get('https://api.veza.app/v1/tracks'); check(res, { 'status is 200': (r) => r.status === 200, 'response time < 100ms': (r) => r.timings.duration < 100, }); } ``` ### 8.3 Performance Regression Detection **CI/CD Integration**: ```yaml # .github/workflows/performance.yml name: Performance Tests on: [push, pull_request] jobs: benchmark: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 - name: Run Go benchmarks run: | cd veza-backend-api go test -bench=. -benchmem > bench-new.txt - name: Compare with baseline run: | benchstat bench-baseline.txt bench-new.txt # Fail if regression > 10% - name: Update baseline (if main branch) if: github.ref == 'refs/heads/main' run: cp bench-new.txt bench-baseline.txt ``` ### 8.4 Plan de Mesure en Production **Prometheus** (mĂ©triques actives en production) : ```yaml monitoring: prometheus: status: actif en production scrape_interval: 15s retention: 30 jours mĂ©triques: - http_request_duration_seconds (histogram, par endpoint) - http_requests_total (counter, par status code) - audio_stream_start_duration_seconds (histogram) - audio_rebuffering_events_total (counter) - db_query_duration_seconds (histogram) - active_connections (gauge) ``` **Lighthouse CI** (GitHub Actions, bloquant) : ```yaml lighthouse_ci: dĂ©clencheur: chaque PR + chaque merge sur main urls_testĂ©es: - / (landing) - /dashboard - /tracks/{id} - /upload seuils_bloquants: performance: 90 accessibility: 95 action: gh-actions (lhci autorun) rapport: commentaire automatique sur PR ``` **k6 Load Tests** (CD nightly) : ```yaml k6_load_tests: frĂ©quence: nightly (CD pipeline, 02:00 UTC) scĂ©narios: - smoke: 10 VUs, 1 min (sanity check) - load: 500 VUs, 10 min (charge normale) - stress: 2000 VUs, 5 min (pic de charge) seuils: http_req_duration_p95: < 100ms http_req_duration_p99: < 200ms http_req_failed: < 1% rapport: Grafana dashboard + Slack notification si Ă©chec ``` **pg_stat_statements** (activĂ© en production) : ```yaml pg_stat_statements: status: activĂ© paramĂštres: pg_stat_statements.max: 10000 pg_stat_statements.track: all monitoring: - requĂȘtes > 10ms p95 signalĂ©es automatiquement - top 20 requĂȘtes par temps cumulĂ© (dashboard Grafana) - reset hebdomadaire des statistiques alerte: requĂȘte > 100ms exĂ©cutĂ©e > 100 fois/min → Slack ``` ## 9. OPTIMIZATION STRATEGIES ### 9.1 Backend Optimizations **Database Query Optimization**: ```go // ❌ BAD - N+1 query problem func GetUsersWithTracks() ([]User, error) { var users []User db.Find(&users) for i := range users { db.Model(&users[i]).Association("Tracks").Find(&users[i].Tracks) // N queries } return users, nil } // ✅ GOOD - Single query with eager loading func GetUsersWithTracks() ([]User, error) { var users []User err := db.Preload("Tracks").Find(&users).Error // 2 queries total return users, err } ``` **Caching Strategy**: ```go // Cache frequently accessed data func (s *TrackService) GetTrack(id string) (*Track, error) { // Try cache first cacheKey := fmt.Sprintf("track:%s", id) if cached, err := s.cache.Get(cacheKey); err == nil { var track Track json.Unmarshal([]byte(cached), &track) return &track, nil } // Cache miss - fetch from database track, err := s.repo.GetByID(id) if err != nil { return nil, err } // Store in cache (1 hour TTL) data, _ := json.Marshal(track) s.cache.Set(cacheKey, string(data), 1*time.Hour) return track, nil } ``` ### 9.2 Frontend Optimizations **Code Splitting**: ```typescript // Lazy load routes const Dashboard = lazy(() => import('./pages/Dashboard')); const Upload = lazy(() => import('./pages/Upload')); const Profile = lazy(() => import('./pages/Profile')); function App() { return ( }> } /> } /> } /> ); } ``` **Image Optimization**: ```typescript // Use next-gen formats with fallback Avatar // Or with responsive sizes Track cover ``` **Memoization**: ```typescript // Memoize expensive calculations const expensiveValue = useMemo(() => { return tracks.filter(/* complex filter */).sort(/* expensive sort */); }, [tracks]); // Only recalculate when tracks change // Memoize components const TrackItem = memo(({ track }: { track: Track }) => { return
{track.title}
; }); ``` ### 9.3 Database Optimizations **Index Optimization**: ```sql -- Add indexes for frequent queries CREATE INDEX idx_tracks_user_genre ON tracks(user_id, genre) WHERE deleted_at IS NULL; CREATE INDEX idx_tracks_published ON tracks(published_at DESC) WHERE is_public = true AND deleted_at IS NULL; -- Partial index for active users CREATE INDEX idx_users_active ON users(created_at DESC) WHERE is_active = true AND deleted_at IS NULL; -- GIN index for full-text search CREATE INDEX idx_tracks_search ON tracks USING GIN(to_tsvector('english', title || ' ' || artist)) WHERE deleted_at IS NULL; ``` **Query Optimization**: ```sql -- Use EXPLAIN ANALYZE to identify slow queries EXPLAIN ANALYZE SELECT t.*, u.username FROM tracks t JOIN users u ON t.user_id = u.id WHERE t.genre = 'electronic' AND t.is_public = true ORDER BY t.play_count DESC LIMIT 20; -- Optimize: Add covering index CREATE INDEX idx_tracks_genre_plays ON tracks(genre, play_count DESC) INCLUDE (title, artist) WHERE is_public = true; ``` ## 10. PERFORMANCE BUDGETS ### 10.1 Frontend Budgets **JavaScript Budget**: ```json { "budget": [ { "resourceSizes": [ { "resourceType": "script", "budget": 200 }, { "resourceType": "stylesheet", "budget": 20 }, { "resourceType": "image", "budget": 500 }, { "resourceType": "font", "budget": 50 } ] } ] } ``` **Lighthouse Budget (lighthouse-budget.json)**: ```json { "timings": [ { "metric": "interactive", "budget": 3500 }, { "metric": "first-contentful-paint", "budget": 1500 } ] } ``` ### 10.2 Backend Budgets **Per-Endpoint Budget**: ```yaml endpoints: GET /tracks: latency_p95: 50ms latency_p99: 100ms database_queries: ≀ 2 cache_usage: required POST /tracks/{id}/play: latency_p95: 20ms latency_p99: 50ms database_queries: ≀ 1 cache_usage: optional GET /search: latency_p95: 200ms latency_p99: 500ms database_queries: ≀ 5 elasticsearch_usage: required ``` ## ✅ CHECKLIST DE VALIDATION ### Performance Targets - [ ] API latency p95 < 100ms, p99 < 200ms - [ ] Database queries p95 < 10ms - [ ] Frontend Lighthouse Performance score ≄ 90 - [ ] Frontend Lighthouse Accessibility score ≄ 95 - [ ] Initial JS bundle < 200KB gzipped - [ ] First Contentful Paint < 1.5s - [ ] Time to Interactive < 3.5s - [ ] Audio streaming start < 500ms - [ ] Rebuffering rate < 0.5% ### Plan de Mesure - [ ] Prometheus actif en production (scrape 15s) - [ ] Lighthouse CI dans GitHub Actions (bloquant sur rĂ©gression) - [ ] k6 load tests en CD nightly (smoke + load + stress) - [ ] pg_stat_statements activĂ© en production - [ ] Grafana dashboards created (API, DB, Frontend, Streaming) - [ ] Alerting rules configured (critical → PagerDuty, warning → Slack) ### Optimization - [ ] Database indexes optimized - [ ] N+1 queries eliminated - [ ] Caching implemented (Redis) - [ ] CDN configured - [ ] Image optimization implemented - [ ] Code splitting implemented - [ ] Lazy loading implemented ## 📊 MÉTRIQUES DE SUCCÈS ### Performance Metrics - **API Latency (p95)**: < 100ms - **API Latency (p99)**: < 200ms - **DB Query (p95)**: < 10ms - **Frontend Load (FCP)**: < 1.5s - **Frontend Load (TTI)**: < 3.5s - **Lighthouse Performance**: ≄ 90 - **Lighthouse Accessibility**: ≄ 95 - **Audio Stream Start**: < 500ms - **Rebuffering Rate**: < 0.5% - **Bundle JS initial gzip**: < 200KB - **Uptime**: > 99.9% ### Resource Efficiency - **CPU Usage**: < 70% (average) - **Memory Usage**: < 80% (average) - **Cache Hit Rate**: > 90% - **Database Connection Utilization**: < 80% ### User Experience - **Rebuffering rate**: < 0.5% des sessions - **Error Rate**: < 0.1% - **Time to First Play**: < 3s ## 🔄 HISTORIQUE DES VERSIONS | Version | Date | Changements | |---------|------|-------------| | 1.0.0 | 2025-11-02 | Version initiale - Performance targets complets | | 2.0.0 | 2026-03-04 | Audit : targets Lighthouse rĂ©alistes (Perf ≄ 90, A11y ≄ 95), rebuffering < 0.5%, ajout plan de mesure complet (Prometheus, Lighthouse CI, k6 nightly, pg_stat_statements), suppression targets ML/infĂ©rence | --- ## ⚠ AVERTISSEMENT **CES TARGETS SONT IMMUABLES** --- **Document crĂ©Ă© par**: Performance Team + SRE **Date de crĂ©ation**: 2025-11-02 **DerniĂšre rĂ©vision**: 2026-03-04 (v2.0.0) **Prochaine rĂ©vision**: Quarterly (2026-06-01) **PropriĂ©taire**: Performance Lead **Statut**: ✅ **APPROUVÉ ET VERROUILLÉ**