Performance & Scaling

Optimize Codepurify for handling large projects and high-volume generation.

Caching Strategies

Template Caching

Context Caching

Parallel Processing

Memory Management

Streaming Large Files

Resource Pooling

Optimization Techniques

Lazy Loading

Batch Processing

Performance Monitoring

Scaling Guidelines

• Use worker threads for CPU-intensive tasks
• Implement caching for frequently accessed data
• Process large datasets in batches
• Monitor memory usage and implement garbage collection
• Use streaming for very large output files
• Profile and optimize hot paths
• Consider database persistence for large contexts