Files
digiserver/OPTIMIZATION_SUMMARY.md
DigiServer Developer d5456c0ec4 Add comprehensive optimization proposal for DigiServer
Analysis:
- Docker image size: 3.53GB (needs optimization)
- Monolithic app.py: 1,051 lines (needs splitting)
- No caching strategy (performance bottleneck)
- Synchronous video processing (blocks requests)

Optimization Proposal includes:
1. Multi-stage Docker build (3.53GB → 800MB, 77% reduction)
2. Blueprint architecture (split monolithic app.py)
3. Redis caching (50-80% faster page loads)
4. Celery for background tasks (async video processing)
5. Database optimization (indexes, query optimization)
6. nginx reverse proxy (3-5x faster static files)
7. Security hardening (rate limiting, CSRF, validation)
8. Monitoring & health checks
9. Type hints & code quality improvements
10. Environment-based configuration

Expected results:
- Page load: 2-3s → 0.5-1s (70% faster)
- API response: 100-200ms → 20-50ms (75% faster)
- Concurrent users: 10-20 → 100-200 (10x scalability)
- Docker image: 77% smaller
- Code maintainability: Significantly improved

Implementation roadmap: 4 phases over 2-3 weeks
Priority: Critical → High → Medium

Changed port mapping: 8880:5000 → 80:5000 for standard HTTP access
2025-11-12 09:06:28 +02:00

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Markdown

# DigiServer Optimization - Quick Reference
## 🎯 Top 3 Critical Optimizations
### 1. Reduce Docker Image Size: 3.53GB → 800MB (77% smaller)
**Impact**: Faster deployments, less storage
**Effort**: 2 hours
**File**: `Dockerfile` - implement multi-stage build
### 2. Split Monolithic app.py (1,051 lines) into Blueprints
**Impact**: Better maintainability, easier testing
**Effort**: 1 day
**Structure**:
```
blueprints/
├── auth.py # Login/Register
├── admin.py # Admin panel
├── players.py # Player management
├── groups.py # Group management
├── content.py # Upload/Media
└── api.py # API endpoints
```
### 3. Add Redis Caching
**Impact**: 50-80% faster page loads
**Effort**: 4 hours
**Add**: Redis container + Flask-Caching
---
## 📊 Current State
| Metric | Value | Status |
|--------|-------|--------|
| Docker Image | 3.53 GB | ⚠️ Too large |
| Main File (app.py) | 1,051 lines | ⚠️ Monolithic |
| Routes | 30+ endpoints | ⚠️ No structure |
| Caching | None | ❌ Missing |
| Background Tasks | Synchronous | ❌ Blocks requests |
| API Rate Limiting | None | ⚠️ Security risk |
---
## 🚀 Quick Performance Wins
### Database Indexes (30 minutes)
```python
# Add to models
class Content(db.Model):
player_id = db.Column(db.Integer, index=True)
position = db.Column(db.Integer, index=True)
```
### Cache Dashboard (1 hour)
```python
from flask_caching import Cache
cache = Cache(config={'CACHE_TYPE': 'simple'})
@cache.cached(timeout=60)
def dashboard():
# Cached for 60 seconds
```
### Type Hints (2 hours)
```python
def get_player_content(player_id: int) -> List[Content]:
return Content.query.filter_by(player_id=player_id).all()
```
---
## 📈 Expected Results
| Metric | Before | After | Improvement |
|--------|--------|-------|-------------|
| Docker Image | 3.53 GB | 800 MB | 77% ↓ |
| Page Load | 2-3s | 0.5-1s | 70% ↓ |
| API Response | 100-200ms | 20-50ms | 75% ↓ |
| Concurrent Users | 10-20 | 100-200 | 10x ↑ |
| Maintainability | Low | High | ++ |
---
## 🔧 Implementation Order
### Week 1: Critical
- [ ] Multi-stage Docker build
- [ ] Database indexes
- [ ] Basic caching
### Week 2: Architecture
- [ ] Split to blueprints
- [ ] Add Redis
- [ ] Celery for video processing
### Week 3: Polish
- [ ] nginx reverse proxy
- [ ] Security hardening
- [ ] Monitoring & health checks
---
## 💡 Quick Commands
### Rebuild Docker (smaller image)
```bash
docker compose down
docker compose build --no-cache
docker compose up -d
```
### Check Image Size
```bash
docker images digiserver:latest
```
### Monitor Performance
```bash
docker stats digiserver
```
---
## 📝 Files to Modify
1. **Dockerfile** - Multi-stage build
2. **docker-compose.yml** - Add Redis, Celery, nginx
3. **app.py** - Split into blueprints
4. **requirements.txt** - Add redis, celery, flask-caching
5. **models/*.py** - Add indexes
---
See `OPTIMIZATION_PROPOSAL.md` for detailed implementation guide.