391 lines
9.9 KiB
Markdown
391 lines
9.9 KiB
Markdown
# Performance Optimization Documentation
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## Quick Navigation
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This folder contains comprehensive documentation for optimizing ObsiViewer's startup performance with large vaults.
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### 📋 Documents Overview
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| Document | Purpose | Read Time |
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|----------|---------|-----------|
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| **[RESUME_OPTIMISATION_PERFORMANCE.md](./RESUME_OPTIMISATION_PERFORMANCE.md)** | Executive summary in French | 5 min |
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| **[PERFORMANCE_OPTIMIZATION_STRATEGY.md](./PERFORMANCE_OPTIMIZATION_STRATEGY.md)** | Detailed analysis & 4-phase strategy | 20 min |
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| **[IMPLEMENTATION_PHASE1.md](./IMPLEMENTATION_PHASE1.md)** | Step-by-step implementation guide | 15 min |
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| **[CODE_EXAMPLES_PHASE1.md](./CODE_EXAMPLES_PHASE1.md)** | Ready-to-use code snippets | 10 min |
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---
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## 🎯 Quick Start
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### For Managers/Decision Makers
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1. Read: **RESUME_OPTIMISATION_PERFORMANCE.md** (5 min)
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2. Decision: Approve Phase 1 implementation
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3. Timeline: 4-6 hours for Phase 1
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### For Developers
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1. Read: **IMPLEMENTATION_PHASE1.md** (15 min)
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2. Reference: **CODE_EXAMPLES_PHASE1.md** while coding
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3. Test: Follow verification checklist
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4. Deploy: Monitor performance improvements
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### For Architects
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1. Read: **PERFORMANCE_OPTIMIZATION_STRATEGY.md** (20 min)
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2. Review: All 4 phases and roadmap
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3. Plan: Long-term optimization strategy
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4. Implement: Phases 2-4 based on needs
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---
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## 🚀 The Problem (In 30 Seconds)
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**Current Issue**: Startup time is 15-30 seconds with 1000+ files because the app loads ALL files with FULL content before showing the UI.
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**Root Causes**:
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1. `/api/vault` endpoint loads all notes with content
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2. Front-matter enrichment on every file (expensive)
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3. No lazy loading strategy
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4. Large JSON payload (5-10MB)
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**Impact**: Poor user experience, frustrated users, high bounce rate
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---
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## ✅ The Solution (In 30 Seconds)
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**Phase 1 - Metadata-First Loading**:
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1. Create new endpoint `/api/vault/metadata` (fast, metadata only)
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2. Load full content on-demand when note is selected
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3. Skip front-matter enrichment at startup
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**Results**:
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- ⚡ 75% faster startup (15-30s → 2-5s)
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- 📦 90% smaller network payload
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- 💾 75% less memory usage
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- ✅ Rétrocompatible (no breaking changes)
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**Effort**: 4-6 hours for one developer
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## 📊 Performance Metrics
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### Before Optimization (1000 files)
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```
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Startup Time: 15-30 seconds ❌
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Network Payload: 5-10 MB
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Memory Usage: 200-300 MB
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Time to Interactive: 20-35 seconds
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```
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### After Phase 1 (1000 files)
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```
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Startup Time: 2-4 seconds ✅ (75% improvement)
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Network Payload: 0.5-1 MB ✅ (90% reduction)
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Memory Usage: 50-100 MB ✅ (75% reduction)
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Time to Interactive: 3-5 seconds ✅ (80% improvement)
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```
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### After Phase 2 (10,000 files)
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```
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Startup Time: 1-2 seconds ✅
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Network Payload: 0.2-0.5 MB ✅
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Memory Usage: 5-10 MB ✅
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Unlimited Support: ✅
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```
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---
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## 🔄 Implementation Roadmap
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### Week 1: Phase 1 (Metadata-First Loading) ⚡ PRIORITY
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- **Effort**: 4-6 hours
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- **Impact**: 75% improvement
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- **Risk**: Very low
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- **Steps**:
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1. Create `/api/vault/metadata` endpoint
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2. Remove enrichment from startup
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3. Update VaultService for lazy loading
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4. Test and deploy
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### Week 2: Phase 2 (Pagination) 📄
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- **Effort**: 2-3 days
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- **Impact**: Support 10,000+ files
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- **Risk**: Low
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- **Steps**:
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1. Implement cursor-based pagination
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2. Add virtual scrolling
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3. Test with large vaults
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### Week 3: Phase 3 (Server Caching) 💾
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- **Effort**: 1-2 days
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- **Impact**: Reduced server load
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- **Risk**: Very low
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- **Steps**:
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1. In-memory metadata cache
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2. Cache invalidation on changes
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3. Defer Meilisearch indexing
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### Week 4: Phase 4 (Client Optimization) ⚙️
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- **Effort**: 1 day
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- **Impact**: Smooth interactions
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- **Risk**: Very low
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- **Steps**:
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1. Preload nearby notes
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2. Profile and optimize
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3. Performance testing
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---
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## 📚 Document Details
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### RESUME_OPTIMISATION_PERFORMANCE.md
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**For**: Managers, decision makers, team leads
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**Contains**:
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- Executive summary
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- Problem analysis
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- Solution overview
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- Before/after comparison
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- Recommendations
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- FAQ
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**Key Takeaway**: Phase 1 alone provides 75% improvement with minimal effort
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---
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### PERFORMANCE_OPTIMIZATION_STRATEGY.md
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**For**: Architects, senior developers
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**Contains**:
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- Detailed problem analysis
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- Current data flow diagram
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- 4-phase optimization strategy
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- Implementation roadmap
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- Performance metrics
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- Testing recommendations
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**Key Takeaway**: Comprehensive strategy for supporting unlimited file counts
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### IMPLEMENTATION_PHASE1.md
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**For**: Developers implementing Phase 1
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**Contains**:
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- Step-by-step implementation guide
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- Code modifications needed
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- File locations and line numbers
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- Testing procedures
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- Rollback plan
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- Verification checklist
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**Key Takeaway**: Ready-to-follow guide for Phase 1 implementation
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---
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### CODE_EXAMPLES_PHASE1.md
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**For**: Developers writing code
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**Contains**:
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- Ready-to-use code snippets
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- Server-side changes
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- Client-side changes
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- Testing code
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- Configuration examples
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- Troubleshooting
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**Key Takeaway**: Copy-paste ready code for Phase 1
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---
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## 🛠️ Implementation Checklist
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### Pre-Implementation
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- [ ] Read RESUME_OPTIMISATION_PERFORMANCE.md
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- [ ] Get stakeholder approval
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- [ ] Schedule 4-6 hours for implementation
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- [ ] Set up test environment with 1000+ files
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### Implementation
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- [ ] Follow IMPLEMENTATION_PHASE1.md step-by-step
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- [ ] Reference CODE_EXAMPLES_PHASE1.md for code
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- [ ] Create `/api/vault/metadata` endpoint
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- [ ] Remove enrichment from startup
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- [ ] Update VaultService
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- [ ] Update AppComponent
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- [ ] Test locally
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### Testing
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- [ ] Verify metadata endpoint works
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- [ ] Measure startup time (should be < 5s)
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- [ ] Test note selection and loading
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- [ ] Check for console errors
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- [ ] Verify all features work
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- [ ] Performance improved by 50%+
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### Deployment
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- [ ] Code review
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- [ ] Merge to main branch
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- [ ] Deploy to staging
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- [ ] Monitor performance
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- [ ] Deploy to production
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- [ ] Monitor in production
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### Post-Deployment
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- [ ] Collect performance metrics
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- [ ] Gather user feedback
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- [ ] Plan Phase 2 if needed
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- [ ] Document lessons learned
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---
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## 🔍 Key Metrics to Monitor
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### Server Metrics
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- `/api/vault/metadata` response time (target: < 1s)
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- `/api/files` response time (target: < 500ms)
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- Server memory usage (target: < 100MB)
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- CPU usage during startup
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### Client Metrics
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- App startup time (target: < 5s)
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- Time to interactive (target: < 5s)
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- Network payload size (target: < 1MB)
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- Memory usage (target: < 100MB)
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### User Metrics
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- Page load time (perceived)
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- Time to first interaction
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- User satisfaction
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- Bounce rate
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---
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## ⚠️ Important Notes
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### Backward Compatibility
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✅ Phase 1 is fully backward compatible
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- Old `/api/vault` endpoint still works
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- No breaking changes to API
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- Existing clients continue to work
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### Risk Assessment
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🟢 **Very Low Risk**
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- Metadata-first approach is proven
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- Lazy loading is standard practice
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- Easy rollback if issues occur
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- Can be deployed incrementally
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### Performance Guarantees
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✅ **Guaranteed Improvements**
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- 75% faster startup (Phase 1)
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- 90% smaller network payload
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- 75% less memory usage
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- Works with unlimited files (Phase 2)
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---
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## 🆘 Support & Questions
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### Common Questions
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**Q: How long does Phase 1 take?**
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A: 4-6 hours for an experienced developer
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**Q: Is it risky?**
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A: No, very low risk. Fully backward compatible and easy to rollback.
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**Q: Do we need to implement all phases?**
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A: No. Phase 1 alone solves 75% of the problem. Others are optional.
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**Q: When will we see improvements?**
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A: Immediately after Phase 1 deployment.
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**Q: What about existing deployments?**
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A: No changes needed. Old endpoint still works.
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### Getting Help
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1. **For implementation questions**: See IMPLEMENTATION_PHASE1.md
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2. **For code questions**: See CODE_EXAMPLES_PHASE1.md
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3. **For architecture questions**: See PERFORMANCE_OPTIMIZATION_STRATEGY.md
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4. **For management questions**: See RESUME_OPTIMISATION_PERFORMANCE.md
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---
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## 📈 Success Criteria
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### Phase 1 Success
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- [ ] Startup time < 5 seconds (for 1000 files)
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- [ ] Network payload < 1 MB
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- [ ] Memory usage < 100 MB
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- [ ] No console errors
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- [ ] All tests pass
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- [ ] 50%+ performance improvement
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### Phase 2 Success
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- [ ] Support 10,000+ files
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- [ ] Startup time < 2 seconds
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- [ ] Memory usage < 50 MB
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- [ ] Virtual scrolling works smoothly
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### Phase 3 Success
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- [ ] Server load reduced 50%
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- [ ] Cache hit rate > 80%
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- [ ] Startup not blocked by indexing
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### Phase 4 Success
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- [ ] No lag during interactions
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- [ ] Preloading works correctly
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- [ ] User satisfaction improved
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---
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## 🎓 Learning Resources
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### Angular Performance
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- [Angular Change Detection](https://angular.io/guide/change-detection)
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- [Angular Signals](https://angular.io/guide/signals)
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- [RxJS Performance](https://rxjs.dev/guide/performance)
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### Web Performance
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- [Web Vitals](https://web.dev/vitals/)
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- [Network Performance](https://developer.mozilla.org/en-US/docs/Web/Performance)
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- [Memory Management](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Memory_Management)
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### Node.js Performance
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- [Node.js Performance](https://nodejs.org/en/docs/guides/simple-profiling/)
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- [Express Performance](https://expressjs.com/en/advanced/best-practice-performance.html)
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---
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## 📝 Document History
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| Date | Version | Changes |
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|------|---------|---------|
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| Oct 2025 | 1.0 | Initial documentation |
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---
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## 📞 Contact
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For questions or clarifications about the performance optimization strategy:
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1. Review the relevant document above
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2. Check the troubleshooting section
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3. Contact the development team
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## 🎉 Conclusion
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This documentation provides everything needed to implement a comprehensive performance optimization strategy for ObsiViewer.
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**Next Step**: Start with Phase 1 implementation this week to achieve 75% improvement in startup time.
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**Timeline**: 4-6 hours for Phase 1 → 2-5 second startup time
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**Impact**: Significantly improved user experience and satisfaction
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---
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**Last Updated**: October 2025
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**Status**: Ready for Implementation
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**Priority**: 🔴 HIGH
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