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Scaling

Overview​

Strategies for scaling Smart Academic Hub to handle increased load.

Horizontal Scaling​

Load Balancing​

Distribute traffic across multiple application servers:

Client → Load Balancer → [App Server 1, App Server 2, App Server 3]

Database Replication​

  • Master-slave replication
  • Read replicas for queries
  • Write to master only

Session Management​

Use Redis for shared sessions:

SESSION_DRIVER=redis
CACHE_DRIVER=redis

Vertical Scaling​

Server Resources​

  • Increase CPU cores
  • Add more RAM
  • Faster storage (SSD/NVMe)

Database Optimization​

  • Query optimization
  • Index tuning
  • Connection pooling

Caching Strategies​

Application Cache​

Cache::remember('students', 3600, function () {
    return Student::all();
});

HTTP Cache​

  • CDN for static assets
  • Browser caching headers
  • Response caching

Database Query Cache​

Student::where('academy_id', $id)
    ->remember(3600)
    ->get();

Queue Workers​

Offload heavy tasks to queues:

php artisan queue:work --tries=3

Auto-Scaling​

Cloud Auto-Scaling​

  • AWS Auto Scaling Groups
  • GCP Instance Groups
  • Azure Scale Sets

Kubernetes​

  • Horizontal Pod Autoscaler
  • Cluster Autoscaler

Performance Monitoring​

  • Application Performance Monitoring (APM)
  • Database query analysis
  • Server resource monitoring
  • User experience metrics

Best Practices​

  1. Monitor performance metrics
  2. Optimize database queries
  3. Use caching effectively
  4. Implement queue workers
  5. Scale horizontally before vertically
  6. Plan for peak loads
  7. Test scaling strategies