Scaling Your Infrastructure on Javelina DNS
As your business grows, your infrastructure needs to scale efficiently. This guide covers strategies for scaling your applications on Javelina DNS.
Horizontal vs. Vertical Scaling
Understand the two primary scaling approaches:
- Horizontal Scaling: Add more instances to distribute load
- Vertical Scaling: Increase resources (CPU, RAM) of existing instances
Auto-Scaling Configuration
Javelina DNS provides intelligent auto-scaling:
- Set minimum and maximum instance counts
- Configure scaling triggers (CPU, memory, requests per second)
- Define scaling policies for different times of day
- Implement gradual scale-up and scale-down rules
Load Balancing
Distribute traffic efficiently across your infrastructure:
- Use Javelina's built-in DNS-based load balancing
- Configure health checks for automatic failover
- Implement session persistence when needed
- Monitor load balancer metrics in real-time
Database Scaling
Scale your data layer effectively:
- Implement read replicas for read-heavy workloads
- Use connection pooling to optimize database connections
- Consider sharding for large datasets
- Enable query caching where appropriate
Caching Strategies
Reduce load and improve performance with caching:
- Implement CDN caching for static assets
- Use Redis or Memcached for application caching
- Configure appropriate cache TTLs
- Implement cache invalidation strategies
Performance Monitoring
Monitor your scaled infrastructure:
- Track key performance indicators (KPIs)
- Set up alerts for performance degradation
- Use Javelina's analytics dashboard
- Conduct regular load testing
Cost Optimization
Scale efficiently without overspending:
- Right-size your instances based on actual usage
- Use reserved capacity for predictable workloads
- Implement auto-scaling to avoid over-provisioning
- Review and optimize resource allocation monthly