================================================================================ OBSIWATCHER - PERFORMANCE OPTIMIZATION QUICK REFERENCE ================================================================================ PROBLEM SUMMARY ================================================================================ - Startup time: 15-30 seconds (with 1000+ files) - Cause: Loading ALL files with FULL content at startup - Impact: Poor user experience, high bounce rate ROOT CAUSES ================================================================================ 1. /api/vault endpoint loads all notes with content (5-10MB payload) 2. Front-matter enrichment on every file during startup (expensive) 3. No lazy loading strategy 4. Large JSON payload blocks UI rendering SOLUTION: METADATA-FIRST LOADING (PHASE 1) ================================================================================ ✅ Create new endpoint: /api/vault/metadata (fast, metadata only) ✅ Load full content on-demand when note is selected ✅ Skip front-matter enrichment at startup ✅ Lazy load content when needed EXPECTED RESULTS ================================================================================ Before: - Startup time: 15-30 seconds - Network payload: 5-10 MB - Memory usage: 200-300 MB - Time to interactive: 20-35 seconds After Phase 1: - Startup time: 2-4 seconds (75% improvement) - Network payload: 0.5-1 MB (90% reduction) - Memory usage: 50-100 MB (75% reduction) - Time to interactive: 3-5 seconds (80% improvement) IMPLEMENTATION EFFORT ================================================================================ Phase 1: 4-6 hours (one developer) Phase 2: 2-3 days (pagination) Phase 3: 1-2 days (server caching) Phase 4: 1 day (client optimization) RISK LEVEL ================================================================================ Phase 1: VERY LOW (backward compatible, easy rollback) Phase 2: LOW Phase 3: VERY LOW Phase 4: VERY LOW KEY FILES TO MODIFY ================================================================================ Server-side: - server/index.mjs * Add loadVaultMetadataOnly() function * Add /api/vault/metadata endpoint * Remove enrichment from loadVaultNotes() Client-side: - src/app/services/vault.service.ts (create or update) * Add initializeVault() method * Add ensureNoteContent() method - src/app.component.ts * Call initializeVault() in ngOnInit() * Update selectNote() to load content on-demand QUICK IMPLEMENTATION STEPS ================================================================================ 1. Add loadVaultMetadataOnly() to server/index.mjs (after line 175) 2. Add /api/vault/metadata endpoint to server/index.mjs (after line 478) 3. Remove enrichment from loadVaultNotes() (around line 138-141) 4. Create/update VaultService with lazy loading 5. Update AppComponent to use new approach 6. Test with 1000+ file vault 7. Deploy and monitor TESTING CHECKLIST ================================================================================ [ ] /api/vault/metadata returns data in < 1 second [ ] Metadata payload is < 1 MB for 1000 files [ ] App UI is interactive within 2-3 seconds [ ] Clicking on a note loads content smoothly (< 500ms) [ ] No console errors or warnings [ ] All existing features still work [ ] Performance improved by 50%+ compared to before PERFORMANCE METRICS TO MONITOR ================================================================================ Server: - /api/vault/metadata response time (target: < 1s) - /api/files response time (target: < 500ms) - Server memory usage (target: < 100MB) Client: - App startup time (target: < 5s) - Time to interactive (target: < 5s) - Network payload size (target: < 1MB) - Memory usage (target: < 100MB) DOCUMENTATION REFERENCES ================================================================================ 1. RESUME_OPTIMISATION_PERFORMANCE.md - Executive summary (5 min read) - For: Managers, decision makers 2. PERFORMANCE_OPTIMIZATION_STRATEGY.md - Detailed analysis & 4-phase strategy (20 min read) - For: Architects, senior developers 3. IMPLEMENTATION_PHASE1.md - Step-by-step implementation guide (15 min read) - For: Developers implementing Phase 1 4. CODE_EXAMPLES_PHASE1.md - Ready-to-use code snippets (10 min read) - For: Developers writing code 5. README_PERFORMANCE.md - Navigation guide for all documents - For: Everyone QUICK WINS (Can do immediately) ================================================================================ 1. Remove enrichment from startup (5 minutes) - Comment out enrichFrontmatterOnOpen() in loadVaultNotes() 2. Add metadata-only endpoint (30 minutes) - Create /api/vault/metadata using Meilisearch 3. Implement server-side caching (1 hour) - Cache metadata for 5 minutes - Invalidate on file changes 4. Defer Meilisearch indexing (30 minutes) - Use setImmediate() instead of blocking startup ROLLBACK PLAN ================================================================================ If issues occur: 1. Revert server changes: git checkout server/index.mjs 2. Revert client changes: git checkout src/app.component.ts 3. Restart server: npm run dev 4. No data loss or breaking changes BACKWARD COMPATIBILITY ================================================================================ ✅ Old /api/vault endpoint still works ✅ No breaking changes to API ✅ Existing clients continue to work ✅ Can be deployed incrementally NEXT STEPS ================================================================================ 1. Read RESUME_OPTIMISATION_PERFORMANCE.md (5 minutes) 2. Get stakeholder approval 3. Follow IMPLEMENTATION_PHASE1.md step-by-step 4. Reference CODE_EXAMPLES_PHASE1.md while coding 5. Test and deploy 6. Monitor performance improvements CONTACT & SUPPORT ================================================================================ For implementation questions: See IMPLEMENTATION_PHASE1.md For code questions: See CODE_EXAMPLES_PHASE1.md For architecture questions: See PERFORMANCE_OPTIMIZATION_STRATEGY.md For management questions: See RESUME_OPTIMISATION_PERFORMANCE.md ================================================================================ Status: Ready for Implementation Priority: 🔴 HIGH Estimated ROI: 75% performance improvement in 4-6 hours ================================================================================