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

3.0 KiB

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)

# 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)

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)

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)

docker compose down
docker compose build --no-cache
docker compose up -d

Check Image Size

docker images digiserver:latest

Monitor Performance

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.