Enterprise
Intelligent Response Caching
ApiLab's built-in cache reduces traffic by storing repeated API responses right next to your services. Your apps get faster responses, use less bandwidth, and put less stress on backend systems—all without changing a line of code.
Caching Strategies
Time-based (TTL)
- Configure cache duration per endpoint
- Automatic expiration and refresh
- Override TTL based on response headers
- Support for Cache-Control directives
Content-based
- Cache based on response content
- Invalidate when data changes
- Smart refresh for dynamic content
- Conditional requests (ETags, Last-Modified)
Request-based
- Cache key customization
- Include/exclude headers from cache key
- Query parameter handling
- User-specific caching
Performance Benefits
- Latency Reduction: Serve responses in less than 1ms from edge cache
- Bandwidth Savings: Reduce upstream traffic by up to 90%
- Cost Optimization: Lower API usage charges from providers
- Reliability: Serve cached content during outages
Advanced Features
Intelligent Invalidation
- Webhook-based cache purging
- Pattern-based invalidation
- Cascade invalidation for related content
- Real-time cache updates
Cache Warming
- Pre-populate cache before traffic arrives
- Scheduled refresh for critical data
- Background updates without blocking requests
- Predictive caching based on usage patterns
Multi-tier Caching
- Edge cache for global distribution
- Regional caches for localized content
- In-memory cache for hot data
- Persistent cache for large datasets
Configuration Options
- Cache Rules: Fine-grained control per endpoint
- Bypass Conditions: Skip cache for specific scenarios
- Vary Headers: Cache multiple versions based on headers
- Compression: Automatic response compression
Monitoring & Analytics
- Hit Rate Metrics: Track cache effectiveness
- Miss Analysis: Understand why requests miss cache
- Size Management: Monitor cache storage usage
- Performance Impact: Measure latency improvements
