Scaling
Scaling strategies for Netasampark platform.
Horizontal Scaling
Application Servers
- Load Balancer: Distribute traffic
- Multiple Instances: Run multiple app servers
- Session Storage: Use Redis for sessions
- File Storage: Use shared storage (S3)
Database Scaling
- Read Replicas: Distribute read load
- Sharding: Partition data across databases
- Connection Pooling: Manage connections efficiently
Vertical Scaling
Server Resources
- CPU: Increase cores
- Memory: Add RAM
- Storage: Increase disk space
- Network: Upgrade bandwidth
Load Balancing
Configuration
upstream app_servers {
least_conn;
server app1.example.com;
server app2.example.com;
server app3.example.com;
}
Health Checks
server {
location /health {
access_log off;
return 200 "healthy\n";
}
}
Database Scaling
Read Replicas
// config/database.php
'read' => [
'host' => [
'192.168.1.1',
'192.168.1.2',
],
],
'write' => [
'host' => '192.168.1.3',
],
Sharding Strategy
- By User ID: Hash-based sharding
- By Region: Geographic sharding
- By Date: Time-based sharding
Caching Layer
Redis Cluster
- Multiple Nodes: Distribute cache
- Replication: High availability
- Sharding: Distribute keys
CDN Integration
Static Assets
- Images: Serve from CDN
- CSS/JS: Serve from CDN
- Fonts: Serve from CDN
Configuration
// config/filesystems.php
'cdn' => [
'driver' => 's3',
'url' => env('CDN_URL'),
],
Monitoring Scaling
Key Metrics
- Request Rate: Requests per second
- Response Time: Average response time
- Error Rate: Percentage of errors
- Resource Usage: CPU, memory, disk
Auto-scaling
- CPU Threshold: Scale at 70% CPU
- Request Threshold: Scale at 1000 req/sec
- Cooldown Period: 5 minutes
Best Practices
- Start Small: Scale incrementally
- Monitor: Track key metrics
- Test: Load testing before scaling
- Document: Document scaling procedures
- Automate: Use auto-scaling where possible