Performance Optimization
Optimize MedFeed system performance for maximum efficiency and user experience.
Overview
This guide covers performance optimization techniques for MedFeed deployments, including system tuning, resource allocation, and monitoring best practices.
System Performance Tuning
Database Optimization
- Index optimization for frequently queried fields
- Query performance analysis and optimization
- Connection pooling configuration
- Replica set optimization for read scaling
Application Server Tuning
- Memory allocation and garbage collection tuning
- Connection pool sizing
- Caching strategy implementation
- Load balancing configuration
Network Optimization
- CDN configuration for static assets
- Compression settings
- Keep-alive connections
- Request/response optimization
Monitoring and Metrics
Key Performance Indicators
- Response time percentiles
- Throughput metrics
- Error rates
- Resource utilization
Monitoring Tools
- Application performance monitoring (APM)
- Database performance monitoring
- Infrastructure monitoring
- User experience monitoring
Scaling Strategies
Horizontal Scaling
- Load balancer configuration
- Auto-scaling policies
- Database sharding strategies
- Microservices architecture
Vertical Scaling
- Resource allocation optimization
- Performance bottleneck identification
- Capacity planning
- Hardware upgrade recommendations
Best Practices
Development Best Practices
- Efficient query patterns
- Caching strategies
- Asynchronous processing
- Resource cleanup
Deployment Best Practices
- Blue-green deployments
- Performance testing
- Capacity planning
- Monitoring setup
For system requirements, see System Requirements.